Optimal Variable Speed Limit Control at a Lane Drop Bottleneck: Genetic Algorithm Approach

Author:

Yu Miao1,Fan Wei (David)2

Affiliation:

1. Research Assistant, Dept. of Civil and Environmental Engineering, Center for Advanced Multimodal Mobility Solutions and Education, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223.

2. Director and Associate Professor, Dept. of Civil and Environmental Engineering, USDOT Center for Advanced Multimodal Mobility Solutions and Education, Univ. of North Carolina at Charlotte, EPIC Bldg., Room 3261, 9201 University City Blvd., Charlotte, NC 28223 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving traffic efficiency at merge bottleneck: a combined variable speed limit and logic rule-based lane change control approach;Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023);2024-02-20

2. Simulation of Optimal Control Model of Electromechanical Combined Braking Based on Genetic Algorithm;2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE);2023-08-18

3. Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control;2023 IEEE International Conference on Smart Computing (SMARTCOMP);2023-06

4. Differential Evolution Based Numerical Variable Speed Limit Control Method with a Non-Equilibrium Traffic Model;Mathematics;2023-01-04

5. Variable Speed Limit Strategy With Dynamic Control Cycle Based on Predictive Control;Transportation Research Record: Journal of the Transportation Research Board;2022-09-01

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