Janos Juhasz | Budapest University of Technology and Economics (original) (raw)
Papers by Janos Juhasz
Production Engineering Archives, Oct 30, 2017
The results of route planning researches are monitored by logistic and automotive industries. The... more The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.
Production Engineering Archives, Sep 1, 2017
The results of route planning researches are monitored by logistic and automotive industries. The... more The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.
Sustainability, Oct 28, 2019
Lane changing of traffic flow is a complicated and significant behavior for traffic safety on the... more Lane changing of traffic flow is a complicated and significant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic "conscious" in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.
Periodica Polytechnica Transportation Engineering, Apr 16, 2019
Rider visibility has been considered an important issue in car-motorcycle accidents due to the fr... more Rider visibility has been considered an important issue in car-motorcycle accidents due to the frequency of unperceptive and negligent driving behavior. Mostly car drivers stated that they didn't see the rider before the collision. This study aims to investigate the contributing factors that reduce rider visibility in point of view of car drivers for car-motorcycle accidents. The study considered the car-motorcycle accidents which occur in the built-up area. Statistical data analysis categorized the accidents into six dominant accident types. Twenty-five accidents were selected by accident types for simulation analysis. The selected accidents were simulated in Virtual Crash software during 5 seconds before the collision. The simulation analysis evaluated that the view obstructions, blind spots and high speed were the contributing factors that reduce rider visibility in car-motorcycle accidents. The simulation plots identified the involvement of contributory factors and variation within the time interval. The comprehensive in-depth analysis also evaluated that no collision avoidance maneuvers were performed by most of the car drivers due to visibility issues before the collision. Safety systems were proposed based on observed factors according to car and motorcycle perspectives for collision avoidance.
Periodica Polytechnica Transportation Engineering
This study examines the differences in travel behavior between regular and occasional demand-resp... more This study examines the differences in travel behavior between regular and occasional demand-responsive transport users (public transport users), determines the level of service satisfaction, and identifies the key factors of commuters' preferences of using the demand-responsive transport regularly or occasionally for a small-sized urban area (<50 km2). Data were supplemented through field surveys and by focus group discussions. Binary logistic regression and correlation models were used. It is found that probabilities of irregularity are higher for rural areas, male commuters, short trips, educational trips, low-income groups, and non-direct trips. All users are generally satisfied with the service. The most important factors for occasional users are waiting time, trip cost, and trip duration. On the other hand, regular users pay more attention to cleanliness, safety, and comfort. Scheduling of public transportation lines that serve educational zones and provide accessibilit...
Periodica Polytechnica Civil Engineering, 2019
During travelling, more and more information must be taken into account, and travelers have to ma... more During travelling, more and more information must be taken into account, and travelers have to make several complex decisions. In order to support these decisions, IT solutions are unavoidable, and as the computational demand is constantly growing, the examination of state-of-the-art methodologies is necessary. In our research, a parallelized Ant Colony algorithm was investigated, and a parameter study on a real network has been made. The aim was to inspect the sensibility of the method and to demonstrate its applicability in a multi-threaded system (e.g. Cloud-based systems). Based on the research, increased effectiveness can be reached by using more threads. The novelty of the paper is the usage of the processors’ parallel computing capability for routing with the Ant Colony algorithm.
Periodica Polytechnica Transportation Engineering, 1998
In Hungary and in France, just like to the rest of European countries, one third of the casualtie... more In Hungary and in France, just like to the rest of European countries, one third of the casualties of accidents on the roads is constituted by pedestrians. Analysing traffic acci- dents and getting know better the behaviour of the participants in public transportation by scrutiny can help create safer conditions on the roads. This article is aimed at presenting the basic features and characteristics of SIMPAS: a simulationai model of public transportation worked out by INRETS (France) in close cooperation with the Faculty of Transportation Engineering at the Technical University of Budapest. The simulational model and computer simulation programme has been developed to facilitate the study of the behaviour of pedestrians and drivers in traffic. The underlying conception behind the model is that individual situations in public transportation are de- termined from moment to moment by the impacts made by the participants of traffic upon each other. They constantly communicate with one ...
Transportation Research Procedia, 2017
This study is connected to the PROSPECT project (PROactive Safety for PEdestrians and CyclisTs) t... more This study is connected to the PROSPECT project (PROactive Safety for PEdestrians and CyclisTs) that has a goal of developing a proactive on-board-system to cars. This system will more effectively identify and manage the incidents with VRUs (Vulnerable Road User) compared to those that are currently on the market. One of the first steps of our task is to define with statistical examination the main causes and circumstances which lead to car-pedestrian and car-cyclist accidents in Hungary. The basis of the accident research was a database about raw accident data (in chart form) provided by the Hungarian Central Statistical Office (KSH). This data was then systematized by a data managing system, and after the relevant queries, we processed it. This paper presents the results of this investigation which will be used to improve the software and hardware of the on-board-system.
Sustainability, 2021
The increasing use of bicycles rises the interest in investigating the safety aspects of daily co... more The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and major severity categories were distinguished. A binary equation consists of 28 factors is extracted. It has been found that each factor related to roadway characteristics has its negative and positive impacts on cyclist severity such as traffic control, location type, topography, and roadway divisions. Regarding the road surface components, good, paved, and marked roads are associated with a higher probability of major injuries due to the expected greater frequencies of cyclists on roads with good conditions. In conclusion, probabilities of major injuries are higher in urban areas, higher speed limits, signalized intersections, inclined topographies, one-way roads, a...
Periodica Polytechnica-civil Engineering, Jan 11, 2023
This paper develops a mathematical formula that accounts the influence of roundabout's design and... more This paper develops a mathematical formula that accounts the influence of roundabout's design and performance parameters to predict the gap acceptance parameter "Critical gap". Thirteen roundabouts in Hungary having different geometric and operational parameters were selected. The geometrical and operational data of each roundabout's leg was collected. Raff's method was used to estimate the critical gap for each roundabout leg. Firstly, the collinearity analysis was carried out to identify independent parameters to avoid any possible negative impact on the developed predictive models. Nine out of ten parameters passed the collinearity test. These nine parameters are the main parameters used in the model development. Three models were developed. The first model (M1) is based on Multivariate Adaptive Regression Spline (MARS) algorithm. The second model (M2) is based on Pearson correlation. The last model (M3) was based on Spearman correlation. Linear regression models were constructed using the retained parameters of the M2 and M3 models. Subsequently a comparison of the three developed models is done based on R2 and RMSE values. Based on the results obtained from the comparison, the MARS model (M1) is the best predictive model of the critical gap. According to the results of the MARS model, the most important parameters for predicting critical gap value are circulating traffic flow and the distance between neighboring legs.
Periodica Polytechnica Civil Engineering, 2023
This paper develops a mathematical formula that accounts the influence of roundabout's design and... more This paper develops a mathematical formula that accounts the influence of roundabout's design and performance parameters to predict the gap acceptance parameter "Critical gap". Thirteen roundabouts in Hungary having different geometric and operational parameters were selected. The geometrical and operational data of each roundabout's leg was collected. Raff's method was used to estimate the critical gap for each roundabout leg. Firstly, the collinearity analysis was carried out to identify independent parameters to avoid any possible negative impact on the developed predictive models. Nine out of ten parameters passed the collinearity test. These nine parameters are the main parameters used in the model development. Three models were developed. The first model (M1) is based on Multivariate Adaptive Regression Spline (MARS) algorithm. The second model (M2) is based on Pearson correlation. The last model (M3) was based on Spearman correlation. Linear regression models were constructed using the retained parameters of the M2 and M3 models. Subsequently a comparison of the three developed models is done based on R2 and RMSE values. Based on the results obtained from the comparison, the MARS model (M1) is the best predictive model of the critical gap. According to the results of the MARS model, the most important parameters for predicting critical gap value are circulating traffic flow and the distance between neighboring legs.
International Journal for Traffic and Transport Engineering, Sep 27, 2022
The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. ... more The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. The critical gap has a prominent role in this approach. In every country, driver behavior and local rules are examined and implemented in the local standard for capacity estimation. Hence, a reliable technique for assessing critical gaps can be of great importance. This paper presents an experimental investigation and analysis on whether it is possible to find the correlation between video-based gap acceptance parameters and some traffic parameters in Hungary. Thirteen single-lane roundabouts with different traffic flow rates were recorded for hours in various locations in and around Budapest to estimate the gap acceptance parameter (critical gap) and relate it to circulating and entry flow or the combination of both. Using only linear regression analysis, as a first step, no strong correlation was found between the critical gap and circulating flow and a lower correlation between the critical gap and entry flow. After implementation of a gradient boosted decision tree function, a stronger correlation was found between the critical gap and circulating flow, and an improved correlation between the critical gap and entry flow. The implemented correlation model shows a promising correlation between the critical gap and traffic parameters (circulating and entry flow). Our results indicate that the critical gap has a higher correlation with the circulating flow, and with the increase of the circulating flow, the critical gap value tends to decrease.
INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING (IJTTE), 2022
The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. ... more The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. The critical gap has a prominent role in this approach. In every country, driver behavior and local rules are examined and implemented in the local standard for capacity estimation. Hence, a reliable technique for assessing critical gaps can be of great importance. This paper presents an experimental investigation and analysis on whether it is possible to find the correlation between video-based gap acceptance parameters and some traffic parameters in Hungary. Thirteen single-lane roundabouts with different traffic flow rates were recorded for hours in various locations in and around Budapest to estimate the gap acceptance parameter (critical gap) and relate it to circulating and entry flow or the combination of both. Using only linear regression analysis, as a first step, no strong correlation was found between the critical gap and circulating flow and a lower correlation between the critical gap and entry flow. After implementation of a gradient boosted decision tree function, a stronger correlation was found between the critical gap and circulating flow, and an improved correlation between the critical gap and entry flow. The implemented correlation model shows a promising correlation between the critical gap and traffic parameters (circulating and entry flow). Our results indicate that the critical gap has a higher correlation with the circulating flow, and with the increase of the circulating flow, the critical gap value tends to decrease.
Sustainability, 2019
Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on th... more Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high aver...
Sustainability, 2019
Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on th... more Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high aver...
Periodica Polytechnica Transportation Engineering, 2019
Rider visibility has been considered an important issue in car-motorcycle accidents due to the fr... more Rider visibility has been considered an important issue in car-motorcycle accidents due to the frequency of unperceptive and negligent driving behavior. Mostly car drivers stated that they didn’t see the rider before the collision. This study aims to investigate the contributing factors that reduce rider visibility in point of view of car drivers for car-motorcycle accidents. The study considered the car-motorcycle accidents which occur in the built-up area. Statistical data analysis categorized the accidents into six dominant accident types. Twenty-five accidents were selected by accident types for simulation analysis. The selected accidents were simulated in Virtual Crash software during 5 seconds before the collision. The simulation analysis evaluated that the view obstructions, blind spots and high speed were the contributing factors that reduce rider visibility in car-motorcycle accidents. The simulation plots identified the involvement of contributory factors and variation wit...
International Journal of Civil Infrastructure
Young Driver behaviour plays a key role in road safety as it is important in traffic accident pre... more Young Driver behaviour plays a key role in road safety as it is important in traffic accident prevention. Young drivers mostly involve in behaviours that cause risks to both themselves and to other road users also. This study designed to develop an initial set of measures to observe young driver behaviour related to road traffic safety issues in different countries. Driver Behaviour Questionnaire (DBQ) was designed to elicit useful information related to road safety from university students having driving licence. The main consideration taken on driver's attitudes towards traffic safety issues were failing to comply with traffic light signal, failing to wear the seat belt, disregard the speed limits, failing to use personal intelligent driver assistant, failing to yield pedestrian, driving too closely, frequently changing lanes, risk due to encroachments, failing to apply brakes, problems of mixed traffic and sounds horn in annoyance. Several differences in driving attitudes between Pakistan and Hungary young drivers were identified. The utilization of observed measures provided richer information about deviant young driver behaviour in both regions. The statistical analysis of the young drivers' perception on road traffic safety issues quantify significant factors associated with them. From comparative studies of questionnaire data, it was noticed that Budapest drivers appear more disciplined than Islamabad drivers. But still there are some important young driver attitudes in both regions which need improvements for safe movements on the road.
Proceedings of the 3rd World Congress on Civil, Structural, and Environmental Engineering, Apr 1, 2018
Young Driver behaviour plays a key role in road safety as it is important in traffic accident pre... more Young Driver behaviour plays a key role in road safety as it is important in traffic accident prevention. This study designed to develop an initial set of measures to observe young driver behaviour related to road traffic safety issues in different countries. Driver Behaviour Questionnaire (DBQ) was designed to elicit useful information related to road safety from university students having driving licence. The main consideration taken on drivers attitudes towards traffic safety issues were failing to comply with a traffic light signal, failing to wear the seat belt, disregard the speed limits, failing to use personal intelligent driver assistant, failing to yield pedestrian, driving too close, frequently changing lanes, risk due to encroachments, failing to apply brakes, problems of mixed traffic and sounds horn in annoyance. Several differences in driving attitudes between Pakistan and Hungary drivers were identified. The utilization of observed measures provided richer information about deviant young driver behaviour. The analysis of the young drivers' perception on traffic safety issues quantify significant factors associated with them. From comparative studies of questionnaire data, it was noticed that Budapest drivers appear more disciplined than Islamabad drivers. But still there are some important young driver attitudes in both countries which need improvements for safe movements on the road.
2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015
There are several algorithms which calculates shortest path, but most of them are not enough fast... more There are several algorithms which calculates shortest path, but most of them are not enough fast, effective and they provide only one solution. Therefore our investigation tries to find one alternative algorithm for this problem. In this paper it is described how Ant-colony and the Genetic algorithm can be applied for multimodal transportation systems and tests have been made to find the best parameters of these methods. Parallel methods are being introduced, as these methods are more effective and more applicable to Cloud based systems. It has been simulated in a multi-threaded server but it could also be used in a distributed computing system.
Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing n... more Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing number of motorbikes on road. Car-motorcycle collisions mostly lead to fatal and seriously injured accidents mainly due to the vulnerability of motorcyclists and other related factors. The crash investigation studies aim to analyze the main contributing factors that cause fatal road accidents and injury outcomes. The main goal of this study is to evaluate and compare the contributing factors to car-motorcycle accidents in Budapest city by using a microsimulation tool. The procedure utilized the statistical analysis and data sampling to categorize car-motorcycle accidents by dominant accident types based on collision configurations. The police report is used as a data source for designated accidents and simulation models are plotted according to scale (M 1:200). The simulation crash study results observed the main contributing factors to car-motorcycle accidents such as driver behavior, ri...
Production Engineering Archives, Oct 30, 2017
The results of route planning researches are monitored by logistic and automotive industries. The... more The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.
Production Engineering Archives, Sep 1, 2017
The results of route planning researches are monitored by logistic and automotive industries. The... more The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.
Sustainability, Oct 28, 2019
Lane changing of traffic flow is a complicated and significant behavior for traffic safety on the... more Lane changing of traffic flow is a complicated and significant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic "conscious" in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.
Periodica Polytechnica Transportation Engineering, Apr 16, 2019
Rider visibility has been considered an important issue in car-motorcycle accidents due to the fr... more Rider visibility has been considered an important issue in car-motorcycle accidents due to the frequency of unperceptive and negligent driving behavior. Mostly car drivers stated that they didn't see the rider before the collision. This study aims to investigate the contributing factors that reduce rider visibility in point of view of car drivers for car-motorcycle accidents. The study considered the car-motorcycle accidents which occur in the built-up area. Statistical data analysis categorized the accidents into six dominant accident types. Twenty-five accidents were selected by accident types for simulation analysis. The selected accidents were simulated in Virtual Crash software during 5 seconds before the collision. The simulation analysis evaluated that the view obstructions, blind spots and high speed were the contributing factors that reduce rider visibility in car-motorcycle accidents. The simulation plots identified the involvement of contributory factors and variation within the time interval. The comprehensive in-depth analysis also evaluated that no collision avoidance maneuvers were performed by most of the car drivers due to visibility issues before the collision. Safety systems were proposed based on observed factors according to car and motorcycle perspectives for collision avoidance.
Periodica Polytechnica Transportation Engineering
This study examines the differences in travel behavior between regular and occasional demand-resp... more This study examines the differences in travel behavior between regular and occasional demand-responsive transport users (public transport users), determines the level of service satisfaction, and identifies the key factors of commuters' preferences of using the demand-responsive transport regularly or occasionally for a small-sized urban area (<50 km2). Data were supplemented through field surveys and by focus group discussions. Binary logistic regression and correlation models were used. It is found that probabilities of irregularity are higher for rural areas, male commuters, short trips, educational trips, low-income groups, and non-direct trips. All users are generally satisfied with the service. The most important factors for occasional users are waiting time, trip cost, and trip duration. On the other hand, regular users pay more attention to cleanliness, safety, and comfort. Scheduling of public transportation lines that serve educational zones and provide accessibilit...
Periodica Polytechnica Civil Engineering, 2019
During travelling, more and more information must be taken into account, and travelers have to ma... more During travelling, more and more information must be taken into account, and travelers have to make several complex decisions. In order to support these decisions, IT solutions are unavoidable, and as the computational demand is constantly growing, the examination of state-of-the-art methodologies is necessary. In our research, a parallelized Ant Colony algorithm was investigated, and a parameter study on a real network has been made. The aim was to inspect the sensibility of the method and to demonstrate its applicability in a multi-threaded system (e.g. Cloud-based systems). Based on the research, increased effectiveness can be reached by using more threads. The novelty of the paper is the usage of the processors’ parallel computing capability for routing with the Ant Colony algorithm.
Periodica Polytechnica Transportation Engineering, 1998
In Hungary and in France, just like to the rest of European countries, one third of the casualtie... more In Hungary and in France, just like to the rest of European countries, one third of the casualties of accidents on the roads is constituted by pedestrians. Analysing traffic acci- dents and getting know better the behaviour of the participants in public transportation by scrutiny can help create safer conditions on the roads. This article is aimed at presenting the basic features and characteristics of SIMPAS: a simulationai model of public transportation worked out by INRETS (France) in close cooperation with the Faculty of Transportation Engineering at the Technical University of Budapest. The simulational model and computer simulation programme has been developed to facilitate the study of the behaviour of pedestrians and drivers in traffic. The underlying conception behind the model is that individual situations in public transportation are de- termined from moment to moment by the impacts made by the participants of traffic upon each other. They constantly communicate with one ...
Transportation Research Procedia, 2017
This study is connected to the PROSPECT project (PROactive Safety for PEdestrians and CyclisTs) t... more This study is connected to the PROSPECT project (PROactive Safety for PEdestrians and CyclisTs) that has a goal of developing a proactive on-board-system to cars. This system will more effectively identify and manage the incidents with VRUs (Vulnerable Road User) compared to those that are currently on the market. One of the first steps of our task is to define with statistical examination the main causes and circumstances which lead to car-pedestrian and car-cyclist accidents in Hungary. The basis of the accident research was a database about raw accident data (in chart form) provided by the Hungarian Central Statistical Office (KSH). This data was then systematized by a data managing system, and after the relevant queries, we processed it. This paper presents the results of this investigation which will be used to improve the software and hardware of the on-board-system.
Sustainability, 2021
The increasing use of bicycles rises the interest in investigating the safety aspects of daily co... more The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and major severity categories were distinguished. A binary equation consists of 28 factors is extracted. It has been found that each factor related to roadway characteristics has its negative and positive impacts on cyclist severity such as traffic control, location type, topography, and roadway divisions. Regarding the road surface components, good, paved, and marked roads are associated with a higher probability of major injuries due to the expected greater frequencies of cyclists on roads with good conditions. In conclusion, probabilities of major injuries are higher in urban areas, higher speed limits, signalized intersections, inclined topographies, one-way roads, a...
Periodica Polytechnica-civil Engineering, Jan 11, 2023
This paper develops a mathematical formula that accounts the influence of roundabout's design and... more This paper develops a mathematical formula that accounts the influence of roundabout's design and performance parameters to predict the gap acceptance parameter "Critical gap". Thirteen roundabouts in Hungary having different geometric and operational parameters were selected. The geometrical and operational data of each roundabout's leg was collected. Raff's method was used to estimate the critical gap for each roundabout leg. Firstly, the collinearity analysis was carried out to identify independent parameters to avoid any possible negative impact on the developed predictive models. Nine out of ten parameters passed the collinearity test. These nine parameters are the main parameters used in the model development. Three models were developed. The first model (M1) is based on Multivariate Adaptive Regression Spline (MARS) algorithm. The second model (M2) is based on Pearson correlation. The last model (M3) was based on Spearman correlation. Linear regression models were constructed using the retained parameters of the M2 and M3 models. Subsequently a comparison of the three developed models is done based on R2 and RMSE values. Based on the results obtained from the comparison, the MARS model (M1) is the best predictive model of the critical gap. According to the results of the MARS model, the most important parameters for predicting critical gap value are circulating traffic flow and the distance between neighboring legs.
Periodica Polytechnica Civil Engineering, 2023
This paper develops a mathematical formula that accounts the influence of roundabout's design and... more This paper develops a mathematical formula that accounts the influence of roundabout's design and performance parameters to predict the gap acceptance parameter "Critical gap". Thirteen roundabouts in Hungary having different geometric and operational parameters were selected. The geometrical and operational data of each roundabout's leg was collected. Raff's method was used to estimate the critical gap for each roundabout leg. Firstly, the collinearity analysis was carried out to identify independent parameters to avoid any possible negative impact on the developed predictive models. Nine out of ten parameters passed the collinearity test. These nine parameters are the main parameters used in the model development. Three models were developed. The first model (M1) is based on Multivariate Adaptive Regression Spline (MARS) algorithm. The second model (M2) is based on Pearson correlation. The last model (M3) was based on Spearman correlation. Linear regression models were constructed using the retained parameters of the M2 and M3 models. Subsequently a comparison of the three developed models is done based on R2 and RMSE values. Based on the results obtained from the comparison, the MARS model (M1) is the best predictive model of the critical gap. According to the results of the MARS model, the most important parameters for predicting critical gap value are circulating traffic flow and the distance between neighboring legs.
International Journal for Traffic and Transport Engineering, Sep 27, 2022
The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. ... more The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. The critical gap has a prominent role in this approach. In every country, driver behavior and local rules are examined and implemented in the local standard for capacity estimation. Hence, a reliable technique for assessing critical gaps can be of great importance. This paper presents an experimental investigation and analysis on whether it is possible to find the correlation between video-based gap acceptance parameters and some traffic parameters in Hungary. Thirteen single-lane roundabouts with different traffic flow rates were recorded for hours in various locations in and around Budapest to estimate the gap acceptance parameter (critical gap) and relate it to circulating and entry flow or the combination of both. Using only linear regression analysis, as a first step, no strong correlation was found between the critical gap and circulating flow and a lower correlation between the critical gap and entry flow. After implementation of a gradient boosted decision tree function, a stronger correlation was found between the critical gap and circulating flow, and an improved correlation between the critical gap and entry flow. The implemented correlation model shows a promising correlation between the critical gap and traffic parameters (circulating and entry flow). Our results indicate that the critical gap has a higher correlation with the circulating flow, and with the increase of the circulating flow, the critical gap value tends to decrease.
INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING (IJTTE), 2022
The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. ... more The gap acceptance method is one of the most widely used to analyze the capacity of roundabouts. The critical gap has a prominent role in this approach. In every country, driver behavior and local rules are examined and implemented in the local standard for capacity estimation. Hence, a reliable technique for assessing critical gaps can be of great importance. This paper presents an experimental investigation and analysis on whether it is possible to find the correlation between video-based gap acceptance parameters and some traffic parameters in Hungary. Thirteen single-lane roundabouts with different traffic flow rates were recorded for hours in various locations in and around Budapest to estimate the gap acceptance parameter (critical gap) and relate it to circulating and entry flow or the combination of both. Using only linear regression analysis, as a first step, no strong correlation was found between the critical gap and circulating flow and a lower correlation between the critical gap and entry flow. After implementation of a gradient boosted decision tree function, a stronger correlation was found between the critical gap and circulating flow, and an improved correlation between the critical gap and entry flow. The implemented correlation model shows a promising correlation between the critical gap and traffic parameters (circulating and entry flow). Our results indicate that the critical gap has a higher correlation with the circulating flow, and with the increase of the circulating flow, the critical gap value tends to decrease.
Sustainability, 2019
Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on th... more Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high aver...
Sustainability, 2019
Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on th... more Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high aver...
Periodica Polytechnica Transportation Engineering, 2019
Rider visibility has been considered an important issue in car-motorcycle accidents due to the fr... more Rider visibility has been considered an important issue in car-motorcycle accidents due to the frequency of unperceptive and negligent driving behavior. Mostly car drivers stated that they didn’t see the rider before the collision. This study aims to investigate the contributing factors that reduce rider visibility in point of view of car drivers for car-motorcycle accidents. The study considered the car-motorcycle accidents which occur in the built-up area. Statistical data analysis categorized the accidents into six dominant accident types. Twenty-five accidents were selected by accident types for simulation analysis. The selected accidents were simulated in Virtual Crash software during 5 seconds before the collision. The simulation analysis evaluated that the view obstructions, blind spots and high speed were the contributing factors that reduce rider visibility in car-motorcycle accidents. The simulation plots identified the involvement of contributory factors and variation wit...
International Journal of Civil Infrastructure
Young Driver behaviour plays a key role in road safety as it is important in traffic accident pre... more Young Driver behaviour plays a key role in road safety as it is important in traffic accident prevention. Young drivers mostly involve in behaviours that cause risks to both themselves and to other road users also. This study designed to develop an initial set of measures to observe young driver behaviour related to road traffic safety issues in different countries. Driver Behaviour Questionnaire (DBQ) was designed to elicit useful information related to road safety from university students having driving licence. The main consideration taken on driver's attitudes towards traffic safety issues were failing to comply with traffic light signal, failing to wear the seat belt, disregard the speed limits, failing to use personal intelligent driver assistant, failing to yield pedestrian, driving too closely, frequently changing lanes, risk due to encroachments, failing to apply brakes, problems of mixed traffic and sounds horn in annoyance. Several differences in driving attitudes between Pakistan and Hungary young drivers were identified. The utilization of observed measures provided richer information about deviant young driver behaviour in both regions. The statistical analysis of the young drivers' perception on road traffic safety issues quantify significant factors associated with them. From comparative studies of questionnaire data, it was noticed that Budapest drivers appear more disciplined than Islamabad drivers. But still there are some important young driver attitudes in both regions which need improvements for safe movements on the road.
Proceedings of the 3rd World Congress on Civil, Structural, and Environmental Engineering, Apr 1, 2018
Young Driver behaviour plays a key role in road safety as it is important in traffic accident pre... more Young Driver behaviour plays a key role in road safety as it is important in traffic accident prevention. This study designed to develop an initial set of measures to observe young driver behaviour related to road traffic safety issues in different countries. Driver Behaviour Questionnaire (DBQ) was designed to elicit useful information related to road safety from university students having driving licence. The main consideration taken on drivers attitudes towards traffic safety issues were failing to comply with a traffic light signal, failing to wear the seat belt, disregard the speed limits, failing to use personal intelligent driver assistant, failing to yield pedestrian, driving too close, frequently changing lanes, risk due to encroachments, failing to apply brakes, problems of mixed traffic and sounds horn in annoyance. Several differences in driving attitudes between Pakistan and Hungary drivers were identified. The utilization of observed measures provided richer information about deviant young driver behaviour. The analysis of the young drivers' perception on traffic safety issues quantify significant factors associated with them. From comparative studies of questionnaire data, it was noticed that Budapest drivers appear more disciplined than Islamabad drivers. But still there are some important young driver attitudes in both countries which need improvements for safe movements on the road.
2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015
There are several algorithms which calculates shortest path, but most of them are not enough fast... more There are several algorithms which calculates shortest path, but most of them are not enough fast, effective and they provide only one solution. Therefore our investigation tries to find one alternative algorithm for this problem. In this paper it is described how Ant-colony and the Genetic algorithm can be applied for multimodal transportation systems and tests have been made to find the best parameters of these methods. Parallel methods are being introduced, as these methods are more effective and more applicable to Cloud based systems. It has been simulated in a multi-threaded server but it could also be used in a distributed computing system.
Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing n... more Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing number of motorbikes on road. Car-motorcycle collisions mostly lead to fatal and seriously injured accidents mainly due to the vulnerability of motorcyclists and other related factors. The crash investigation studies aim to analyze the main contributing factors that cause fatal road accidents and injury outcomes. The main goal of this study is to evaluate and compare the contributing factors to car-motorcycle accidents in Budapest city by using a microsimulation tool. The procedure utilized the statistical analysis and data sampling to categorize car-motorcycle accidents by dominant accident types based on collision configurations. The police report is used as a data source for designated accidents and simulation models are plotted according to scale (M 1:200). The simulation crash study results observed the main contributing factors to car-motorcycle accidents such as driver behavior, ri...