Title
Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways
Abstract
Traffic oscillation on freeways results in abrupt and frequent vehicle deceleration, which remarkably increases crash risks. Artificial Intelligence based traffic control provides a new opportunity for addressing the safety issues. This study aims at proposing a Reinforcement Learning (RL)-based variable speed limits (VSL) control algorithm to reduce crash risks associated with oscillations. The s...
Year
DOI
Venue
2021
10.1109/MITS.2019.2907631
IEEE Intelligent Transportation Systems Magazine
Keywords
DocType
Volume
Accidents,Traffic control,Oscillators,Vehicle safety,Predictive models,Detectors
Journal
13
Issue
ISSN
Citations 
4
1939-1390
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhibin Li1416.93
Chengcheng Xu266.32
Yanyong Guo300.34
Pan Liu4366.75
Ziyuan Pu551.75