scholarly journals Microscopic Model of Automobile Lane-changing Virtual Desire Trajectory by Spline Curves

1970 ◽  
Vol 22 (3) ◽  
pp. 203-208
Author(s):  
Yulong Pei ◽  
Yonggang Wang ◽  
Yin Zhang
Keyword(s):  
System Analysis ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Network Systems ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Driving Behaviour ◽  
Spline Curves ◽  
Vital Component ◽  
Process Reconstruction

With the development of microscopic traffic simulation models, they have increasingly become an important tool for transport system analysis and management, which assist the traffic engineer to investigate and evaluate the performance of transport network systems. Lane-changing model is a vital component in any traffic simulation model, which could improve road capacity and reduce vehicles delay so as to reduce the likelihood of congestion occurrence. Therefore, this paper addresses the virtual desire trajectory, a vital part to investigate the behaviour divided into four phases. Based on the boundary conditions, β-spline curves and the corresponding reverse algorithm are introduced firstly. Thus, the relation between the velocity and length of lane-changing is constructed, restricted by the curvature, steering velocity and driving behaviour. Then the virtual desire trajectory curves are presented by Matlab and the error analysis results prove that this proposed description model has higher precision in automobile lane-changing process reconstruction, compared with the surveyed result. KEY WORDS: traffic simulation, lane-changing model, virtual desire trajectory, β-spline curves, driving behaviour

Multiregime Approach for Microscopic Traffic Simulation

1998 ◽  
Vol 1644 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Yunlong Zhang ◽  
Larry E. Owen ◽  
James E. Clark
Keyword(s):  
Traffic Flow ◽  
Real World ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Traffic Modeling ◽  
Simulation Approach ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Simulation Results

The purpose of this paper is to explore various traffic modeling aspects and theories that may overcome some of the limitations in existing microscopic simulation models. A multiregime microscopic traffic simulation approach has been formulated featuring realistic and comprehensive carfollowing and lane-changing logic. A prototype implementation of the multiregime approach was developed in C++ and extensively tested. The multiregime simulation results demonstrate the efficiency and validity of the proposed models for a broad range of traffic scenarios. The test and validation results indicate that the model and program outperformed traditional methods and other existing traffic simulation programs. The validity and efficiency of the model is attributed to the fact that the regimes were added to the model incrementally to reflect increasing agreement with real-world traffic flow. The techniques and corresponding models will be used to improve existing microscopic traffic simulation models and programs.

Microscopic simulation of lane changing behaviour at freeway weaving sections

1999 ◽  
Vol 26 (6) ◽  
pp. 840-851 ◽  
Author(s):  
A F Al-Kaisy ◽  
J A Stewart ◽  
M Van Aerde
Keyword(s):  
Simulation Model ◽  
Empirical Data ◽  
Intelligent Transportation Systems ◽  
Traffic Simulation ◽  
Essential Element ◽  
Simulation Models ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation

Microscopic traffic simulation models are being increasingly used to evaluate Intelligent Transportation Systems (ITS) strategies and to complement empirical data in developing new analytical procedures and methodologies. Lane changing rules are an essential element of any microscopic traffic simulation model. While most of these rules are based on theories and hypotheses, to date no attempt has been made to investigate the consistency of lane changing behaviour from microscopic simulation with empirical observations. The research presented in this paper examined this consistency at freeway weaving areas using empirical data. These data were collected in the late 1980s at several major freeway weaving sections in the State of California. The microscopic traffic simulation model INTEGRATION was used to perform simulation experiments in this research. Vehicle distributions, both total and by type of movement, were used as measures to investigate the lane changing activity that took place at these freeway areas. This examination revealed significant agreement between patterns of lane changing behaviour as observed in the field and as reproduced by microscopic simulation. Most quantitative discrepancies were shown to be a function of user-specified input data or due to some inherent limitations in the empirical data.Key words: simulation, lane changing, weaving, freeways.

Analysing the Performance of a Fuzzy Lane Changing Model Using Data Mining

2015 ◽  
pp. 1540-1566
Author(s):  
Sara Moridpour
Keyword(s):  
Traffic Safety ◽  
Traffic Simulation ◽  
Heavy Traffic ◽  
Heavy Vehicle ◽  
Heavy Vehicles ◽  
Passenger Cars ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Traffic Characteristics ◽  
Using Data

Heavy vehicles have substantial impact on traffic flow particularly during heavy traffic conditions. Large amount of heavy vehicle lane changing manoeuvres may increase the number of traffic accidents and therefore reduce the freeway safety. Improving road capacity and enhancing traffic safety on freeways has been the motivation to establish heavy vehicle lane restriction strategies to reduce the interaction between heavy vehicles and passenger cars. In previous studies, different heavy vehicle lane restriction strategies have been evaluated using microscopic traffic simulation packages. Microscopic traffic simulation packages generally use a common model to estimate the lane changing of heavy vehicles and passenger cars. The common lane changing models ignore the differences exist in the lane changing behaviour of heavy vehicle and passenger car drivers. An exclusive fuzzy lane changing model for heavy vehicles is developed and presented in this chapter. This fuzzy model can increase the accuracy of simulation models in estimating the macroscopic and microscopic traffic characteristics. The results of this chapter shows that using an exclusive lane changing model for heavy vehicles, results in more reliable evaluation of lane restriction strategies.

Analysing the Performance of a Fuzzy Lane Changing Model Using Data Mining

2013 ◽  
pp. 289-315 ◽  
Author(s):  
Sara Moridpour
Keyword(s):  
Traffic Safety ◽  
Traffic Simulation ◽  
Heavy Traffic ◽  
Heavy Vehicle ◽  
Heavy Vehicles ◽  
Passenger Cars ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Traffic Characteristics ◽  
Using Data

Heavy vehicles have substantial impact on traffic flow particularly during heavy traffic conditions. Large amount of heavy vehicle lane changing manoeuvres may increase the number of traffic accidents and therefore reduce the freeway safety. Improving road capacity and enhancing traffic safety on freeways has been the motivation to establish heavy vehicle lane restriction strategies to reduce the interaction between heavy vehicles and passenger cars. In previous studies, different heavy vehicle lane restriction strategies have been evaluated using microscopic traffic simulation packages. Microscopic traffic simulation packages generally use a common model to estimate the lane changing of heavy vehicles and passenger cars. The common lane changing models ignore the differences exist in the lane changing behaviour of heavy vehicle and passenger car drivers. An exclusive fuzzy lane changing model for heavy vehicles is developed and presented in this chapter. This fuzzy model can increase the accuracy of simulation models in estimating the macroscopic and microscopic traffic characteristics. The results of this chapter shows that using an exclusive lane changing model for heavy vehicles, results in more reliable evaluation of lane restriction strategies.

Hybrid Mesoscopic–Microscopic Traffic Simulation

2005 ◽  
Vol 1934 (1) ◽  
pp. 218-225 ◽  
Author(s):  
Wilco Burghout ◽  
Haris N. Koutsopoulos ◽  
Ingmar Andréasson
Keyword(s):  
Hybrid Model ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Microscopic Simulation ◽  
Traffic Dynamics ◽  
Integration Framework ◽  
Microscopic Traffic Simulation ◽  
Mesoscopic Model ◽  
Mesoscopic Models ◽  
Traffic Systems

Traffic simulation is an important tool for modeling the operations of dynamic traffic systems. Although microscopic simulation models provide a detailed representation of the traffic process, macroscopic and mesoscopic models capture the traffic dynamics of large networks in less detail but without the problems of application and calibration of microscopic models. This paper presents a hybrid mesoscopic–microscopic model that applies microscopic simulation to areas of specific interest while simulating a large surrounding network in less detail with a mesoscopic model. The requirements that are important for a hybrid model to be consistent across the models at different levels of detail are identified. These requirements vary from the network and route choice consistency to the consistency of the traffic dynamics at the boundaries of the microscopic and mesoscopic submodels. An integration framework that satisfies these requirements is proposed. A prototype hybrid model is used to demonstrate the application of the integration framework and the solution of the various integration issues. The hybrid model integrates MITSIMLab, a microscopic traffic simulation model, and Mezzo, a newly developed mesoscopic model. The hybrid model is applied in two case studies. The results are promising and support both the proposed architecture and the importance of integrating microscopic and mesoscopic models.

Calibration of Microscopic Traffic Simulation Models with Aggregate Data

2004 ◽  
Vol 1876 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Tomer Toledo ◽  
Moshe E. Ben-Akiva ◽  
Deepak Darda ◽  
Mithilesh Jha ◽  
Haris N. Koutsopoulos
Keyword(s):  
Traffic Simulation ◽  
Simulation Models ◽  
Aggregate Data ◽  
Microscopic Traffic Simulation

Development and Evaluation of a Procedure for the Calibration of Simulation Models

2005 ◽  
Vol 1934 (1) ◽  
pp. 208-217 ◽  
Author(s):  
Byungkyu (Brian) Park ◽  
Hongtu (Maggie) Qi
Keyword(s):  
Simulation Model ◽  
Model Calibration ◽  
Field Data ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Transportation Engineering ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Calibration And Validation ◽  
Simulation Results

Microscopic traffic simulation models have been playing an important role in the evaluation of transportation engineering and planning practices for the past few decades, particularly in cases in which field implementation is difficult or expensive to conduct. To achieve high fidelity and credibility for a traffic simulation model, model calibration and validation are of utmost importance. Most calibration efforts reported in the literature have focused on the informal practice, and they have seldom proposed a systematic procedure or guideline for the calibration and validation of simulation models. This paper proposes a procedure for microscopic simulation model calibration. The validity of the proposed procedure was demonstrated by use of a case study of an actuated signalized intersection by using a widely used microscopic traffic simulation model, Verkehr in Staedten Simulation (VISSIM). The simulation results were compared with multiple days of field data to determine the performance of the calibrated model. It was found that the calibrated parameters obtained by the proposed procedure generated performance measures that were representative of the field conditions, while the simulation results obtained with the default and best-guess parameters were significantly different from the field data.

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