Micro-simulation modelling of congestion due to lane closures (original) (raw)
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Journal of Transportation Engineering, 2012
Heavy vehicles can considerably affect traffic flow particularly during heavy traffic conditions. Large numbers of heavy vehicle lane changing manoeuvres can contribute to increase the number of traffic accidents and hence to reduce the freeway safety. The increase in the number of heavy vehicles on freeways has been the motivation to establish strategies to reduce the interaction between heavy vehicles and passenger cars. Previous studies have examined different lane restriction strategies for heavy vehicles using microscopic traffic simulation packages. Those packages mostly use a general lane changing model to estimate the lane changing behavior of heavy vehicle and passenger car drivers. The general lane changing models ignore the fundamental differences in the lane changing behavior of passenger cars and heavy vehicles. However, an exclusive lane changing model for heavy vehicles can increase the accuracy of simulation models. The application of such a model can result in more reliable evaluation of lane restriction strategies. In this paper, different lane restriction strategies are defined for heavy vehicles. For each strategy, the macroscopic and microscopic traffic 2 measurements of the two freeway sections in California are analyzed, using the VISSIM default lane changing model and an exclusive heavy vehicle lane changing model. The results show that the VISSIM default model unrealistically overestimates the observed number of heavy vehicle lane changing maneuvers and potentially overestimates the number of traffic accidents. Using the exclusive lane changing model for heavy vehicles enhances the accuracy of the VISSIM traffic simulation model in microscopically estimating the lane changing maneuvers of heavy vehicles.
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Jurnal Teknologi
The number of motor vehicles and traffic demand is growing in tandem with society's rapid economic development and the quickening process of urbanization. In India, traffic congestion has become the most serious issue. Vehicle's poor lane-changing behaviors have a significant impact on the speed of the traffic system. The lane change behavior was observed in the study with the traffic flow simulation model VISSIM. The purpose of this investigation is to estimate the number of lane changes by simulating them at different volume levels. The study also shows the capacity estimate and its relationship with the lane change. The maximum traffic flow and lane changes were calculated based on the proportions of each vehicle type in the standard car traffic flow. The maximum number of lane change models for known traffic compositions on 4-lane, 6-lane, and 8-lane divided highways has been developed. According to the results, the number of observed lane changes depends on the volume ...
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Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation models. This paper discusses two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels. The models have been calibrated using archived data from a complicated 13-mile long section of the northbound SR99 freeway near Sacramento, California, for an 8-hour time period in which the traffic fluctuated from free-flow to congested conditions. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions. The models have been cross-validated and produced similar macroscopic traffic performance. The main behavior that should be captured for successful modeling of such a complex corridor includes the anticipative and cooperative driver behavior near merges, lane preference in presence of dedicated lanes, and variations in desired headway along the corridor.
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Study of the basic traffic flow characteristics and comprehensive understanding of vehicular interaction are the pre-requisites for highway capacity and level of service analyses and formulation of effective traffic regulation and control measures. This is better done by modeling the system, which will enable the study of the influencing factors over a wide range. Computer simulation has emerged as an effective technique for modelling traffic flow due to its capability to account for the randomness related to traffic. This paper is concerned with application of a simulation model of heterogeneous traffic flow, named HETEROSIM, to study the relationships between traffic flow variables such as traffic volume and speed. Further, the model is also applied to quantify the vehicular interaction in terms of Passenger Car Equivalent (PCE) or Passenger Car Unit (PCU), taking a stretch of an intercity road in India as the case for the study. The results of the study, provides an insight into ...
SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology
The behavior of a driver of any vehicle is important in estimating heterogeneous traffic conditions with no strict lane discipline. In the present study, a micro-simulation model is used to analyze the mixed traffic condition with different drivers’ behavior parameters. The field data collected on traffic flow characteristics of multilane highways are used in the calibration and validation of the simulation model. Out of the ten coefficient of correlation (CC) parameters in the simulation model, five are used in the present study to make a model of simulation for heterogeneous traffic; the other five parameters are not considered for testing their influence on simulated capacity values as they represent very typical behavior of a driver, either in car-following, or in free-flow conditions. Two separate simulation models are made by changing the CC (CC0, CC1, CC2, CC7, and CC8) parameters, each for a four-lane divided and a six-lane divided highway as the geometric conditions of the ...