A probability lane-changing model considering memory effect and driver heterogeneity-Reference-Cited by-同舟云学术

A probability lane-changing model considering memory effect and driver heterogeneity

Published:2020-01-02 Issue:1 Volume:8 Page:72-89
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Pang Meng-Yuan¹²,Jia Bin¹²,Xie Dong-Fan¹²^ORCID,Li Xin-Gang¹²

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, People’s Republic of China

2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2020.1715310

Reference35 articles.

1. Ahmed, K. I., M. Ben-Akiva, H. N. Koutsopoulos, and R. G. Mishalani. 1996. “Models of Freeway Lane Changing and Gap Acceptance Behaviour.” The 13th International Symposium on the Theory of Traffic Flow and Transportation, 501–515.

2. Lane-Change Decision Aid System Based on Motion-Driven Vehicle Tracking

3. Ben-Akiva, M. E., C. Choudhury, and T. Toledo. 2006. “Lane Changing Models.” Proceedings of the International Symposium of Transport Simulation, Laussanne, Switzerland.

4. Comment on "Clustering by Passing Messages Between Data Points"

5. Dou, Y., F. Yan, and D. Feng. 2016. ““Lane Changing Prediction at Highway Lane Drops Using Support Vector Machine and Artificial Neural Network Classifiers.” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 901–906.

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