Learning the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach
Author:
Affiliation:
1. School of Transportation, Southeast University, Nanjing, China
2. Nanjing Les Information Technology Company Ltd., Nanjing, China
Funder
National Key Research and Development Program of China
Key Research and Development Program of Jiangsu Province
Postgraduate Research and Practice Innovation Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10121021/10046306.pdf?arnumber=10046306
Reference57 articles.
1. A Vehicle-Intersection Coordination Scheme for Smooth Flows of Traffic Without Using Traffic Lights
2. Cooperative Maneuver Planning for Mixed Traffic at Signalized Intersections
3. Time-Optimal Coordination for Connected and Automated Vehicles at Adjacent Intersections
4. Green Light Optimized Speed Advisory Systems
5. Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles
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