A deep reinforcement learning traffic control model for Pedestrian and vehicle evacuation in the parking lot-Reference-Cited by-同舟云学术

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A deep reinforcement learning traffic control model for Pedestrian and vehicle evacuation in the parking lot

Published:2024-07 Issue: Volume:646 Page:129876
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Zhang Zhao,Fei Yuhan,Fu Daocheng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Optimum equilibrium passenger flow control strategies with delay penalty functions under oversaturated condition on urban rail transit;Yin;J. Adv. Transp.,2021

2. Level-of-service based hierarchical feedback control method of network-wide pedestrian flow;Zhang;Math. Probl. Eng.,2016

3. Design and analysis of control strategies for pedestrian flows;Molyneaux;Transportation,2021

4. Pedestrian traffic management of boarding and alighting in metro stations;Seriani;Transp. Res. Part C Emerg. Technol.,2015

5. Alleviating a subway bottleneck through a platform gate;Muñoz;Transp. Res. Part A Policy Pract.,2018

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