Adaptive network traffic control with approximate dynamic programming based on a non-homogeneous Poisson demand model-Reference-Cited by-同舟云学术

Adaptive network traffic control with approximate dynamic programming based on a non-homogeneous Poisson demand model

Published:2024-04-15 Issue:1 Volume:12 Page:
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Chen Siqi¹²,Lü Xing¹²³

Affiliation:

1. Department of Mathematics, Beijing Jiaotong University, Beijing, People's Republic of China

2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, People's Republic of China

3. Beijing Laboratory of National Economic Security Early-warning Engineering, Beijing Jiaotong University, Beijing, People's Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2024.2336029

Reference51 articles.

1. Discharge Control Policy Based on Density and Speed for Deep Q-Learning Adaptive Traffic Signal;Ahmed Muaid Abdulkareem Alnazir;Transportmetrica B: Transport Dynamics,2023

2. Throughput properties and optimal locations for limited deployment of Max-pressure controls

3. Bowman Casey N. and John A. Miller. 2018. “Modeling Traffic Flow using Simulation and Big Data Analytics.” Paper presented at the Winter Simulation Conference Washington DC USA December 2016.

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