Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning

Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning

Speed advisories are used on highways to inform vehicles of upcoming changes in traffic conditions and apply a variable speed limit to reduce traffic conflicts and delays. This study applies a similar concept to intersections with respect to connected vehicles to provide dynamic speed advisories in...

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Bibliographic Details
Main Authors: Tarek Ghoul, Tarek Sayed
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
trajectory optimization
dynamic speed advisory
real-time safety
connected vehicles
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/21/11/3864

Internet

https://www.mdpi.com/1424-8220/21/11/3864

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