Manoranjan Parida | Uttrakhand Technical University (original) (raw)
Papers by Manoranjan Parida
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2018
In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which o... more In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which operate in several states of the country. The efficiency of EMS depends on its timely responsiveness to the demand and the integration of available real time travel/traffic data into the vehicle scheduling and routing model. This paper focuses on designing the routes for emergency vehicles by developing an optimization model based on the available knowledge of real time traffic information using the Google Maps Distance Matrix API. The heuristic approach involves formulation of the vehicle routing problem as an integer programming model and optimizing it by integrating with Google API. The main components of the model are incident location, vehicle tracking, shortest path finding and dispatch optimization. This simulation strategy is validated by various samples and a series of tests.
R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth... more R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road an...
International journal of pavement research and technology, 2015
For a highway agency, it is not possible to take up the maintenance requirements for all road sec... more For a highway agency, it is not possible to take up the maintenance requirements for all road sections within a network at a time due to budget constraints. This makes a need for priority ranking model to select and schedule road sections for maintenance treatments according to their maintenance needs. The objective of this study is to use Analytic Hierarchy Process (AHP) for developing a priority ranking model for maintenance of urban roads. The priority model has also been developed using Direct Assessment (DA) method and results were compared with AHP model. In Direct Assessment method, the experts were asked to rate the importance of each parameter affecting the road maintenance, on a scale of 0 to 100 percent whereas in AHP the experts were asked to make a pair-wise comparison between the parameters based on Saaty's scale i.e. 1 to 9. The pair wise comparison matrix was prepared and evaluated for inconsistencies using Expert Choice version 11 software. Statistical tests wer...
Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Ur... more Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Urban Mobility’ in Delhi which integrates built environment with multiple modes and provides an important link to complete the journey. It is either as a single station or an interchange hub, accessed by human, mechanical and vehicular system. Hence, it is important that such transit station must meet minimal level of service and be a part of overall efforts to improve transit services for increasing rider ship. In this context, Multi Modal Oriented Design (M2OD) is used which defines neighborhood character in design and provides mobility friendly environment. It also encourages a mix of mobility options to cater needs of both present and future travel demands. Further, the role and responsibilities of transit operators, facilitators and users are crucial to extend better accessibility to transit station.
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2018
In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which o... more In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which operate in several states of the country. The efficiency of EMS depends on its timely responsiveness to the demand and the integration of available real time travel/traffic data into the vehicle scheduling and routing model. This paper focuses on designing the routes for emergency vehicles by developing an optimization model based on the available knowledge of real time traffic information using the Google Maps Distance Matrix API. The heuristic approach involves formulation of the vehicle routing problem as an integer programming model and optimizing it by integrating with Google API. The main components of the model are incident location, vehicle tracking, shortest path finding and dispatch optimization. This simulation strategy is validated by various samples and a series of tests.
R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth... more R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road an...
International journal of pavement research and technology, 2015
For a highway agency, it is not possible to take up the maintenance requirements for all road sec... more For a highway agency, it is not possible to take up the maintenance requirements for all road sections within a network at a time due to budget constraints. This makes a need for priority ranking model to select and schedule road sections for maintenance treatments according to their maintenance needs. The objective of this study is to use Analytic Hierarchy Process (AHP) for developing a priority ranking model for maintenance of urban roads. The priority model has also been developed using Direct Assessment (DA) method and results were compared with AHP model. In Direct Assessment method, the experts were asked to rate the importance of each parameter affecting the road maintenance, on a scale of 0 to 100 percent whereas in AHP the experts were asked to make a pair-wise comparison between the parameters based on Saaty's scale i.e. 1 to 9. The pair wise comparison matrix was prepared and evaluated for inconsistencies using Expert Choice version 11 software. Statistical tests wer...
Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Ur... more Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Urban Mobility’ in Delhi which integrates built environment with multiple modes and provides an important link to complete the journey. It is either as a single station or an interchange hub, accessed by human, mechanical and vehicular system. Hence, it is important that such transit station must meet minimal level of service and be a part of overall efforts to improve transit services for increasing rider ship. In this context, Multi Modal Oriented Design (M2OD) is used which defines neighborhood character in design and provides mobility friendly environment. It also encourages a mix of mobility options to cater needs of both present and future travel demands. Further, the role and responsibilities of transit operators, facilitators and users are crucial to extend better accessibility to transit station.
Recent Advances in Traffic Engineering, 2020
With over 5.4 lakh kilometres of roads and the number of motor vehicles that have crossed the mar... more With over 5.4 lakh kilometres of roads and the number of motor vehicles that have crossed the mark of 2.1 lakh thousand in 2015 along with urbanisation, road crashes emerge as complementary. But the fact that the number of crashes and injuries has dropped and on the contrary, the fatalities and severity of accident have inflated by 4.7% in 2016 with respect to the previous year, the severity is the factor that has been rising. Thus, the study focuses on determining Risk Index by proactive measure for rural highway which is a quantified value based on various factors such as exposure, crash severity and probability, as per various researchers. The study was carried out only on National Highway with reliable accident data as they are major contributors to road crashes, i.e. one-third of total crashes occur on National Highways which constitute only 2% of the road network in India. The factors such as geometric design and road infrastructure are considered for Safety Index calculation and further, the validation is based upon the historically available authentic accident data. The study results show a good correlation between ranking of the road segments as per Risk Index and based upon available road accident data. This validated technique can be used to determine risk on the road without relying on the unreliable accident data and safety measures can be incorporated on the road segments as per priority which is determined based upon the Risk Index of the highway segments.
This paper mainly deals with the measurement of air quality by observing the concentration of pol... more This paper mainly deals with the measurement of air quality by observing the concentration of pollutants in the atmosphere namely suspended particulate matter, NOx and SO2 at five different selected locations in Lucknow city. The locations for the study have been chosen on the basis of land use pattern. Each pollutant has been observed by 12 hours from 8:00 to 20:00 hours. According to air quality scale, the air quality status has been measured at each location and zone. From the study it is found that the residential zone has highest air quality index in comparison to other zones.
The study presents the development of a train sound level detection system for rail-road collisio... more The study presents the development of a train sound level detection system for rail-road collision avoidance requirements using Mat lab 2013 and Java software. In this study, a new filtering strategy has been proposed to filter out the train sound from other surrounding noises using Mat lab 2013 software. The sound level i.e. between 0 to 65 dB has been filtered out using the system. The message warning alerts for train approach various positions of unmanned railway level crossings have been generated using this system. Time domain analysis resulted in rise of train sound than original composite signal with the approaching train. The maximum, minimum and mean sound pressure levels and bi-level measurements at different areas of crossing have been compared and analysed for both original composite and filtered train sound signal. The system detection probability has been found to be quite high (i.e. 95%) and false detection to be very low (5%). Therefore, the performance of the train ...
Confined use of road sensors limits the effectiveness of traffic disturbing event detection. In t... more Confined use of road sensors limits the effectiveness of traffic disturbing event detection. In this context, Twitter is becoming popular among the people to share the events that affect the daily life. In this paper, a novel dictionary formation and a new feature generation approach is proposed to build an integrated machine learning framework to detect the traffic events. The proposed novel combinatorial feature generation approach (CFGA) uncovers appropriate associations among the keywords of tweet and extracts the correlated keyword sets to the data collected. Such keyword sets are denoted as set phrases . The set phrases may comprise of single or multiple words of a tweet. These set phrases may be used as keywords for event-related data collection or further analysis. The frequently occurring set phrases are identified using the notion of support, which signifies the percentage of tweets containing relevant keywords. Since the nature of different events may also vary; therefore...
Defence Science Journal, 2020
This paper presents the design, simulation, and characterization of a novel low-noise amplifier (... more This paper presents the design, simulation, and characterization of a novel low-noise amplifier (LNA) and active mixer for intelligent transportation system applications. A low noise amplifier is the key component of RF receiver systems. Design, simulation, and characterization of LNA have been performed to obtain the optimum value of noise figure, gain and reflection coefficient. Proposed LNA achieves measured voltage gains of ~18 dB, reflection coefficients of -20 dB, and noise figures of ~2 dB at 5.9 GHz, respectively. The active mixer is a better choice for a modern receiver system over a passive mixer. Key sight advanced design system in conjunction with the electromagnetic simulation tool, has been to obtain the optimal conversion gain and noise figure of the active mixer. The lower and upper resonant frequencies of mixer have been obtained at 2.45 GHz and 5.25 GHz, respectively. The measured conversion gains at lower and upper frequencies are 12 dB and 10.2 dB, respectively. ...
Environmental Engineering and Management Journal, 2014
In this study artificial neural network (ANN) has been applied to predict noise pollution level i... more In this study artificial neural network (ANN) has been applied to predict noise pollution level in Chandigarh, a newly planned city of India. Factors that predominantly influence noise pollution level in a traffic noise model framework were classified into two categories-I. traffic volume, II. traffic speed. Volume, speed and noise level data of traffic were collected at nine identified locations in the city. For development of ANN model, classified traffic volume (Car/Jeep/Van, Scooter/ Motorcycle, Light Commercial Vehicle (LCV)/ Minibus, Bus, Truck, 3-wheeler) and corresponding traffic speed on both sides of the road were taken as input data. Models based on back-propagation neural network were trained, validated and tested using data collected through field studies. Comparative study reveals that ANNs have better capability to reduce the error in traffic noise prediction as compared to linear regression and modified Federal Highway Administration (FHWA) model.
Environmental Engineering and Management Journal, 2008
In India, transportation sector is growing fast and the number of vehicles on Indian roads is inc... more In India, transportation sector is growing fast and the number of vehicles on Indian roads is increasing at a rate more than 7 percent a year. During the period of 50 years from 1951 to 2001, the number of vehicles has increased from 0.3 million to 43 million i.e. an increase of almost 143 times. This has led to overcrowded roads and noise pollution. The transportation sector is one of the major contributors to noise in urban areas, accounting to as much as 55 percent of total noise on the arterials. Interrupted traffic flow noise is associated with the typical congested conditions in the urban area and has different characteristics from the traffic noise generated by free flow traffic on rural roads. These differences arise from the various traffic flow characteristics such as heterogeneity of traffic, flow speeds etc., which is in contrast to traffic on rural roads, where the flow is generally continuous. In this paper, analytical modelling has been used for predicting road traffic noise. Two models namely FHWA (Federal Highway Administration), and CORTN (Calculation of Road Traffic Noise) were applied. The data collected at ten different locations selected on the basis of land usages in urban areas of Lucknow, a historical city in India has been analyzed and utilized for modeling purpose. It was observed that predicted noise levels using a modified FHWA model are more close to observed noise levels than the noise levels predicted by CORTN Model.
Advances in Civil Engineering, 2018
The objective of the present study is to develop models to predict the deterioration of pavement ... more The objective of the present study is to develop models to predict the deterioration of pavement distress of the urban road network. Genetic programming (GP) has been used to develop five models for the prediction of pavement distress: Model 1 for the cracking progression, Model 2 for the ravelling progression, Model 3 for the pothole progression, Model 4 for the rutting progression, and Model 5 for the roughness progression. The data have been collected from the roads of Patiala City, Punjab, India; during the years 2012–2015, the network of 16 roads have been selected for the data collection purposes. The data have been divided into two sets, that is, training dataset (data collected during the years 2012 and 2013) and validation dataset (data collected during the years 2014 and 2015). The two fitness functions have been used for the evaluation of the models, that is, coefficient of determination (R2) and root mean square error (RMSE), and it is inferred that GP models predict wit...
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2018
In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which o... more In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which operate in several states of the country. The efficiency of EMS depends on its timely responsiveness to the demand and the integration of available real time travel/traffic data into the vehicle scheduling and routing model. This paper focuses on designing the routes for emergency vehicles by developing an optimization model based on the available knowledge of real time traffic information using the Google Maps Distance Matrix API. The heuristic approach involves formulation of the vehicle routing problem as an integer programming model and optimizing it by integrating with Google API. The main components of the model are incident location, vehicle tracking, shortest path finding and dispatch optimization. This simulation strategy is validated by various samples and a series of tests.
R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth... more R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road an...
International journal of pavement research and technology, 2015
For a highway agency, it is not possible to take up the maintenance requirements for all road sec... more For a highway agency, it is not possible to take up the maintenance requirements for all road sections within a network at a time due to budget constraints. This makes a need for priority ranking model to select and schedule road sections for maintenance treatments according to their maintenance needs. The objective of this study is to use Analytic Hierarchy Process (AHP) for developing a priority ranking model for maintenance of urban roads. The priority model has also been developed using Direct Assessment (DA) method and results were compared with AHP model. In Direct Assessment method, the experts were asked to rate the importance of each parameter affecting the road maintenance, on a scale of 0 to 100 percent whereas in AHP the experts were asked to make a pair-wise comparison between the parameters based on Saaty's scale i.e. 1 to 9. The pair wise comparison matrix was prepared and evaluated for inconsistencies using Expert Choice version 11 software. Statistical tests wer...
Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Ur... more Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Urban Mobility’ in Delhi which integrates built environment with multiple modes and provides an important link to complete the journey. It is either as a single station or an interchange hub, accessed by human, mechanical and vehicular system. Hence, it is important that such transit station must meet minimal level of service and be a part of overall efforts to improve transit services for increasing rider ship. In this context, Multi Modal Oriented Design (M2OD) is used which defines neighborhood character in design and provides mobility friendly environment. It also encourages a mix of mobility options to cater needs of both present and future travel demands. Further, the role and responsibilities of transit operators, facilitators and users are crucial to extend better accessibility to transit station.
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2018
In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which o... more In India, many semi-government emergency medical services (EMS) exist; one of them is 108 which operate in several states of the country. The efficiency of EMS depends on its timely responsiveness to the demand and the integration of available real time travel/traffic data into the vehicle scheduling and routing model. This paper focuses on designing the routes for emergency vehicles by developing an optimization model based on the available knowledge of real time traffic information using the Google Maps Distance Matrix API. The heuristic approach involves formulation of the vehicle routing problem as an integer programming model and optimizing it by integrating with Google API. The main components of the model are incident location, vehicle tracking, shortest path finding and dispatch optimization. This simulation strategy is validated by various samples and a series of tests.
R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth... more R. K. Mishra et al. ABSTRACT: Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road an...
International journal of pavement research and technology, 2015
For a highway agency, it is not possible to take up the maintenance requirements for all road sec... more For a highway agency, it is not possible to take up the maintenance requirements for all road sections within a network at a time due to budget constraints. This makes a need for priority ranking model to select and schedule road sections for maintenance treatments according to their maintenance needs. The objective of this study is to use Analytic Hierarchy Process (AHP) for developing a priority ranking model for maintenance of urban roads. The priority model has also been developed using Direct Assessment (DA) method and results were compared with AHP model. In Direct Assessment method, the experts were asked to rate the importance of each parameter affecting the road maintenance, on a scale of 0 to 100 percent whereas in AHP the experts were asked to make a pair-wise comparison between the parameters based on Saaty's scale i.e. 1 to 9. The pair wise comparison matrix was prepared and evaluated for inconsistencies using Expert Choice version 11 software. Statistical tests wer...
Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Ur... more Recently, Multi Modal Transit Station has been recognized as a symbol of ‘Urban Identity’ and ‘Urban Mobility’ in Delhi which integrates built environment with multiple modes and provides an important link to complete the journey. It is either as a single station or an interchange hub, accessed by human, mechanical and vehicular system. Hence, it is important that such transit station must meet minimal level of service and be a part of overall efforts to improve transit services for increasing rider ship. In this context, Multi Modal Oriented Design (M2OD) is used which defines neighborhood character in design and provides mobility friendly environment. It also encourages a mix of mobility options to cater needs of both present and future travel demands. Further, the role and responsibilities of transit operators, facilitators and users are crucial to extend better accessibility to transit station.
Recent Advances in Traffic Engineering, 2020
With over 5.4 lakh kilometres of roads and the number of motor vehicles that have crossed the mar... more With over 5.4 lakh kilometres of roads and the number of motor vehicles that have crossed the mark of 2.1 lakh thousand in 2015 along with urbanisation, road crashes emerge as complementary. But the fact that the number of crashes and injuries has dropped and on the contrary, the fatalities and severity of accident have inflated by 4.7% in 2016 with respect to the previous year, the severity is the factor that has been rising. Thus, the study focuses on determining Risk Index by proactive measure for rural highway which is a quantified value based on various factors such as exposure, crash severity and probability, as per various researchers. The study was carried out only on National Highway with reliable accident data as they are major contributors to road crashes, i.e. one-third of total crashes occur on National Highways which constitute only 2% of the road network in India. The factors such as geometric design and road infrastructure are considered for Safety Index calculation and further, the validation is based upon the historically available authentic accident data. The study results show a good correlation between ranking of the road segments as per Risk Index and based upon available road accident data. This validated technique can be used to determine risk on the road without relying on the unreliable accident data and safety measures can be incorporated on the road segments as per priority which is determined based upon the Risk Index of the highway segments.
This paper mainly deals with the measurement of air quality by observing the concentration of pol... more This paper mainly deals with the measurement of air quality by observing the concentration of pollutants in the atmosphere namely suspended particulate matter, NOx and SO2 at five different selected locations in Lucknow city. The locations for the study have been chosen on the basis of land use pattern. Each pollutant has been observed by 12 hours from 8:00 to 20:00 hours. According to air quality scale, the air quality status has been measured at each location and zone. From the study it is found that the residential zone has highest air quality index in comparison to other zones.
The study presents the development of a train sound level detection system for rail-road collisio... more The study presents the development of a train sound level detection system for rail-road collision avoidance requirements using Mat lab 2013 and Java software. In this study, a new filtering strategy has been proposed to filter out the train sound from other surrounding noises using Mat lab 2013 software. The sound level i.e. between 0 to 65 dB has been filtered out using the system. The message warning alerts for train approach various positions of unmanned railway level crossings have been generated using this system. Time domain analysis resulted in rise of train sound than original composite signal with the approaching train. The maximum, minimum and mean sound pressure levels and bi-level measurements at different areas of crossing have been compared and analysed for both original composite and filtered train sound signal. The system detection probability has been found to be quite high (i.e. 95%) and false detection to be very low (5%). Therefore, the performance of the train ...
Confined use of road sensors limits the effectiveness of traffic disturbing event detection. In t... more Confined use of road sensors limits the effectiveness of traffic disturbing event detection. In this context, Twitter is becoming popular among the people to share the events that affect the daily life. In this paper, a novel dictionary formation and a new feature generation approach is proposed to build an integrated machine learning framework to detect the traffic events. The proposed novel combinatorial feature generation approach (CFGA) uncovers appropriate associations among the keywords of tweet and extracts the correlated keyword sets to the data collected. Such keyword sets are denoted as set phrases . The set phrases may comprise of single or multiple words of a tweet. These set phrases may be used as keywords for event-related data collection or further analysis. The frequently occurring set phrases are identified using the notion of support, which signifies the percentage of tweets containing relevant keywords. Since the nature of different events may also vary; therefore...
Defence Science Journal, 2020
This paper presents the design, simulation, and characterization of a novel low-noise amplifier (... more This paper presents the design, simulation, and characterization of a novel low-noise amplifier (LNA) and active mixer for intelligent transportation system applications. A low noise amplifier is the key component of RF receiver systems. Design, simulation, and characterization of LNA have been performed to obtain the optimum value of noise figure, gain and reflection coefficient. Proposed LNA achieves measured voltage gains of ~18 dB, reflection coefficients of -20 dB, and noise figures of ~2 dB at 5.9 GHz, respectively. The active mixer is a better choice for a modern receiver system over a passive mixer. Key sight advanced design system in conjunction with the electromagnetic simulation tool, has been to obtain the optimal conversion gain and noise figure of the active mixer. The lower and upper resonant frequencies of mixer have been obtained at 2.45 GHz and 5.25 GHz, respectively. The measured conversion gains at lower and upper frequencies are 12 dB and 10.2 dB, respectively. ...
Environmental Engineering and Management Journal, 2014
In this study artificial neural network (ANN) has been applied to predict noise pollution level i... more In this study artificial neural network (ANN) has been applied to predict noise pollution level in Chandigarh, a newly planned city of India. Factors that predominantly influence noise pollution level in a traffic noise model framework were classified into two categories-I. traffic volume, II. traffic speed. Volume, speed and noise level data of traffic were collected at nine identified locations in the city. For development of ANN model, classified traffic volume (Car/Jeep/Van, Scooter/ Motorcycle, Light Commercial Vehicle (LCV)/ Minibus, Bus, Truck, 3-wheeler) and corresponding traffic speed on both sides of the road were taken as input data. Models based on back-propagation neural network were trained, validated and tested using data collected through field studies. Comparative study reveals that ANNs have better capability to reduce the error in traffic noise prediction as compared to linear regression and modified Federal Highway Administration (FHWA) model.
Environmental Engineering and Management Journal, 2008
In India, transportation sector is growing fast and the number of vehicles on Indian roads is inc... more In India, transportation sector is growing fast and the number of vehicles on Indian roads is increasing at a rate more than 7 percent a year. During the period of 50 years from 1951 to 2001, the number of vehicles has increased from 0.3 million to 43 million i.e. an increase of almost 143 times. This has led to overcrowded roads and noise pollution. The transportation sector is one of the major contributors to noise in urban areas, accounting to as much as 55 percent of total noise on the arterials. Interrupted traffic flow noise is associated with the typical congested conditions in the urban area and has different characteristics from the traffic noise generated by free flow traffic on rural roads. These differences arise from the various traffic flow characteristics such as heterogeneity of traffic, flow speeds etc., which is in contrast to traffic on rural roads, where the flow is generally continuous. In this paper, analytical modelling has been used for predicting road traffic noise. Two models namely FHWA (Federal Highway Administration), and CORTN (Calculation of Road Traffic Noise) were applied. The data collected at ten different locations selected on the basis of land usages in urban areas of Lucknow, a historical city in India has been analyzed and utilized for modeling purpose. It was observed that predicted noise levels using a modified FHWA model are more close to observed noise levels than the noise levels predicted by CORTN Model.
Advances in Civil Engineering, 2018
The objective of the present study is to develop models to predict the deterioration of pavement ... more The objective of the present study is to develop models to predict the deterioration of pavement distress of the urban road network. Genetic programming (GP) has been used to develop five models for the prediction of pavement distress: Model 1 for the cracking progression, Model 2 for the ravelling progression, Model 3 for the pothole progression, Model 4 for the rutting progression, and Model 5 for the roughness progression. The data have been collected from the roads of Patiala City, Punjab, India; during the years 2012–2015, the network of 16 roads have been selected for the data collection purposes. The data have been divided into two sets, that is, training dataset (data collected during the years 2012 and 2013) and validation dataset (data collected during the years 2014 and 2015). The two fitness functions have been used for the evaluation of the models, that is, coefficient of determination (R2) and root mean square error (RMSE), and it is inferred that GP models predict wit...