Simulation of turning vehicles’ behaviors at mixed-flow intersections based on potential field theory-Reference-Cited by-同舟云学术

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Simulation of turning vehicles’ behaviors at mixed-flow intersections based on potential field theory

Published:2018-03-15 Issue:1 Volume:7 Page:498-518
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Xu Yiming¹,Ma Zian¹²,Sun Jian¹²

Affiliation:

1. Key Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai, People’s Republic of China

2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing, People’s Republic of China

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Project of International Cooperation

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2018.1447407

Reference39 articles.

1. Stochastic approach for modeling the effects of intersection geometry on turning vehicle paths

2. Modelling shared space users via rule-based social force model

3. Comparative analysis of the safety effects of electric bikes at signalized intersections

4. Numerical potential field techniques for robot path planning

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1. Time-Delay Following Model for Connected and Automated Vehicles Considering Multiple Vehicle Safety Potential Fields;Applied Sciences;2024-08-01

2. Intelligent driving model considering vehicular dynamics and heterogeneous road environments;Transportation Letters;2024-03-19

3. A Review of Decision-Making and Planning for Autonomous Vehicles in Intersection Environments;World Electric Vehicle Journal;2024-03-06

4. Modeling of Vehicle Left-Turn Trajectories and Exit Lane Selection at Signalized Intersections;Journal of Transportation Engineering, Part A: Systems;2024-03

5. Autonomous vehicles’ intended cooperative motion planning for unprotected turning at intersections;IET Intelligent Transport Systems;2022-04-22

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