Combined variable speed limit and lane change guidance for secondary crash prevention using distributed deep reinforcement learning

2021 ◽  
pp. 1-26
Author(s):  
Chang Peng ◽  
Chengcheng Xu
Keyword(s):  
Reinforcement Learning ◽  
Speed Limit ◽  
Lane Change ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Crash Prevention

scholarly journals Evaluation of Integrated Variable Speed Limit and Lane Change Control for Highway Traffic Flow

2021 ◽  
Vol 54 (2) ◽  
pp. 107-113
Author(s):  
Tianchen Yuan ◽  
Faisal Alasiri ◽  
Yihang Zhang ◽  
Petros A. Ioannou
Keyword(s):  
Traffic Flow ◽  
Speed Limit ◽  
Lane Change ◽  
Variable Speed ◽  
Highway Traffic ◽  
Variable Speed Limit

scholarly journals An Overview of Reinforcement Learning Methods for Variable Speed Limit Control

2020 ◽  
Vol 10 (14) ◽  
pp. 4917
Author(s):  
Krešimir Kušić ◽  
Edouard Ivanjko ◽  
Martin Gregurić ◽  
Mladen Miletić
Keyword(s):  
Reinforcement Learning ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Speed Limit ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Promising Alternative ◽  
Learning Techniques ◽  
Comprehensive Survey ◽  
Variable Speed Limit Control

Variable Speed Limit (VSL) control systems are widely studied as solutions for improving safety and throughput on urban motorways. Machine learning techniques, specifically Reinforcement Learning (RL) methods, are a promising alternative for setting up VSL since they can learn and react to different traffic situations without knowing the explicit model of the motorway dynamics. However, the efficiency of combined RL-VSL is highly related to the class of the used RL algorithm, and description of the managed motorway section in which the RL-VSL agent sets the appropriate speed limits. Currently, there is no existing overview of RL algorithm applications in the domain of VSL. Therefore, a comprehensive survey on the state of the art of RL-VSL is presented. Best practices are summarized, and new viewpoints and future research directions, including an overview of current open research questions are presented.

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