Modelling car-following behaviour with lateral separation and overtaking expectation
To better simulate car-following behaviour, this paper presents a new model that considers the effects of lateral separation and overtaking expectation based on optimal velocity model. A stability condition of the proposed model is obtained using the theory of linear systems. The stability condition reveals that when lateral separation and overtaking expectation increase, the stability region of the traffic flow increases at a low traffic density but decreases at a high traffic density. A genetic algorithm is adopted to calibrate the model using two trajectory data sets: one collected in the next-generation simulation programme and one collected in Guangzhou, China. A sensitivity analysis is conducted to demonstrate the robustness of the proposed model with respect to parameter uncertainty. Model validation results indicate that by considering the lateral separation and overtaking expectation the new model can better simulate car-following behaviour than the existing ones, especially in some complex driving conditions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21680566
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Supplemental Notes:
- © 2015 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- He, Z C
- Wang, Y M
- Sun, W B
- Huang, P Y
- Zhang, L C
- Zhong, R X
- Publication Date: 2016-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 223-239
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Serial:
- Transportmetrica B: Transport Dynamics
- Volume: 4
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 2168-0566
- EISSN: 2168-0582
- Serial URL: https://www.tandfonline.com/toc/ttrb20/current
Subject/Index Terms
- TRT Terms: Car following; Genetic algorithms; Passing; Sensitivity analysis; Trajectory; Velocity
- Geographic Terms: Guangzhou (China)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01669314
- Record Type: Publication
- Files: TRIS
- Created Date: May 17 2018 2:46PM