A model to estimate the throughput value for a transport network (original) (raw)
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A queueing based traffic flow model
Transportation Research Part D: Transport and Environment, 2000
The assessment of uninterrupted traffic flow is traditionally based on empirical methods. We develop some analytic queueing models based on traffic counts and we model the behavior of traffic flows as a function of some of the most relevant determinants. These analytic models allow for parameterized experiments, which pave the way towards our research objectives:
PREDICTION OF CONGESTIONS USING BASIC TRAFFIC UNIT
Malaysian Journal of Computer Science, 2021
In any form of traffic, whether it is physical or digital, the main problem that sparks a lot of interest for researchers is congestion. This paper discusses a study of congestion around toll plazas. A newly formulated model called Basic Traffic Unit (BTU) is introduced from previous research. BTU is a representation of a basic network connected to form a larger network. A simulation study is conducted and some queuing theories are applied to calculate the measure of performance. Two sets of data from different modes of toll payment are collected. The same two types of payments are simulated and the measure of performance is recorded. The two types of payments from the collected real data are used to calculate the measure of performance using the formula developed by the BTU. This study demonstrates that the results from simulated data can be used to compare with the results from the real-time data using the formula developed by a static model of BTU to predict possible congestions. Comparing results from both methods validates the claim that BTU is useful for predicting congestions.
A Study of Traffic Performance Models Under an Incident Condition
Transportation Research Record, 1976
When an incident occurs on a roadway, traffic performance is usually evaluated by means of either the shock wave analysis or the queuing analysis. In this paper, a comparison of these two approaches is given under the assumption that there exists a unique flow-density relationship. It is shown that the two methods of evaluating the performance give the same result if the traffic density is not time dependent.
Estimation of Traffic Intensity Based on Queue Length in a Single M/M/1 Queue
Communications in Statistics - Theory and Methods, 2013
In this paper, maximum likelihood estimator (MLE) as well as Bayes estimator of traffic intensity (ρ) in an M/M/1/∞ queueing model in equilibrium based on number of customers present in the queue at successive departure epochs have been worked out. Estimates of some functions of ρ which provide measures of effectiveness of the queue have also been derived. A comprehensive simulation study starting with the transition probability matrix has been carried out in the last section.
A New Mathematical Model for Traffic Systems : The Basic Traffic Unit
2019
In studying traffic congestions at toll plazas, a basic model for traffic systems was introduced with the hope to contribute towards a longer-term solution with the means for explaining and predicting congestions. The basic model is named the Basic Traffic Unit (BTU). Besides solving traffic congestion problems, the basic model may also be extended to other network problems. It is anticipated that future researchers may further this study using more specific operations research approach, based on simulation and queuing theory models which would then provide a better insight towards a more sustainable solution.
In studying traffic congestions, a basic model for traffic systems (BTU) is developed and introduced. This model will hopefully contribute towards a solution with the ability to explain and predict congestions. It is intended to be used for traffic congestions together with a specialized operations research techniques, based on a simulation and queueing theory model. Interpreting the representation as a network to take advantage of network modeling techniques, it is to be taken as an approach to develop applications. The representation of this model can provide a platform for work on planning for the development of relief/escape roads, planning alternative routes to avoid congestions, and navigating through traffic jams.
The Use of Queuing Theory in the Management of Traffic Intensity
International Journal of Sciences, 2018
One of the major objectives of road transport policy is to minimize road congestion and road accidents in an area. An intense interruption of free movement on a road is known as traffic congestion. Traffic congestion is as a result of too many cars, buses, trucks in a road space at a particular time. It can occur almost on any road system. It is more dominant and severe around central business district, industrial areas and the like, during the morning and afternoon periods as a result of the influx of commuters and goods delivery around such areas. The impact of such traffic congestion includes delay in delivery of goods and services, excessive fuel consumption and pollution, frustration and inability to estimate travel time. Road transport which is popularly used as medium for mobility can be tiring, irritating and costly when congestion is encountered. This work contributes to the prediction of road traffic intensity of some areas in Lagos state, Nigeria by the application of queuing theory. The approach adopted in the paper describes traffic intensity as performance measure used in the prediction of the level of queue build-up at traffic light intersection in the selected area. The prediction may enhance proper traffic management devoid of undue delays.
Evaluation of the traffic coefficient in priority queueing systems
The Computer Science Journal of Moldova - CSJM, 2008
Methodology and algorithms of evaluation of the trac,co- ecient,in priority queueing systems with zero and nonzero switchover times are presented. In the case of zero switchover times the calculation of the trac,coecient,is straightforward. In contrast, it relies heavily on the ecient numerical evaluation of the busy period’s Laplace-Stieltjes transform in the case when switchover times are not all degenerate zero. Examples for both cases are provided. This work was done under support of the SCOPES grant IB7320-110720. The second author also acknowledges the sup- port of James Watt scholarship and Overseas Research Students Awards Scheme. Keywords: priority queues, switchover times, trac coe- cient.
IJERT-Congestion Modelling for Heterogeneous Traffic
International Journal of Engineering Research and Technology (IJERT), 2016
https://www.ijert.org/congestion-modelling-for-heterogeneous-traffic https://www.ijert.org/research/congestion-modelling-for-heterogeneous-traffic-IJERTV5IS020112.pdf The increase in traffic congestion on many streets and highways is a major concern to travelers, administrators and the society at large. Congestion reduces the effective accessibility of residents resulting in lost opportunities for both the public and business. Hence it is necessary to define congestion and to compute it in terms of various factors that cause congestion. An attempt has been made in this work to measure congestion in terms of Travel Time Index which is the ratio of actual travel time during the existing condition to the free flow travel time. Effect of byroads is quantified and included in terms of the number of vehicle merging with traffic stream and number of vehicles crossing the traffic stream to merge with opposite stream of vehicles. The effect of bus stops is measured as the sum of average time delay due to each bus stop coming under the road stretch. The required data has been collected using both moving car observer method as well as video recording. Detailed information regarding all parameters that affect congestion such as traffic volume, traffic composition, pedestrian crossing, merging, diverging and crossing movements of vehicles and dwell time of bus were collected. Travel Time Index of different road stretches could be predetermined once the factors affecting congestion, used in the model could be forecasted. Congestion model once developed will be helpful in calculating, comparing and predicting the level of congestion of different road stretches. Based on this model the congestion occurring in different roads during different hours can be found out and tabulated. This will help in proper planning of traffic movement, by suggesting alternative routes or to divert the traffic based on the congestion during different hours of the day, by keeping a balance between the Travel Time Index of different roads.
Minimization Of Traffic Congestion By Using Queuing Theory
IJSTR, 2019
This paper sets up the M/M/1 queuing model, analyses the traffic intensity of Palasia intersection (Indore city, India) through analyzing the queuing theory deeply, and uses the model to analyze the settings of the lane and signal timing that is based on a certain degree of accuracy.