A novel intelligent traffic recovery model for emergency vehicles based on context-aware reinforcement learning-Reference-Cited by-同舟云学术

A novel intelligent traffic recovery model for emergency vehicles based on context-aware reinforcement learning

Published:2023-01 Issue: Volume:619 Page:288-309
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Kiani Farzad,Saraç Ömer Faruk

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference39 articles.

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2. Traffic Signal Preemption for Emergency Vehicles: A Cross- Cutting Study, FHWA-JPO-05-010, a report by U.S. Department of Transportation, January 2006.

3. Urban traffic signal control using reinforcement learning agents;Balaji;IET Intel. Transport Syst.,2010

4. Reinforcement learning for true adaptive traffic signal control;Abdulhai;J. Transport. Eng.-ASCE,2003

5. M. Wiering, Multi-Agent Reinforcement Learning for Traffic Light Control, 2000. 1151-1158.

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