A Distributed Computing Method Integrating Improved Gradient Projection for Solving Stochastic Traffic Equilibrium Problem-Reference-Cited by-同舟云学术

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A Distributed Computing Method Integrating Improved Gradient Projection for Solving Stochastic Traffic Equilibrium Problem

Published:2024-02-22 Issue:2 Volume:24 Page:361-381
ISSN:1566-113X
Container-title:Networks and Spatial Economics
language:en
Short-container-title:Netw Spat Econ

Author:

Zhang Honggang,Liu Zhiyuan,Zhang Yicheng,Chen Weijie,Zhang Chenyang

Funder

the Key Project of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11067-024-09617-3.pdf

Reference63 articles.

1. Aboudina A, Abdulhai B (2017) A bi-level distributed approach for optimizing time-dependent congestion pricing in large networks: A simulation-based case study in the Greater Toronto Area. Transp Res Part C Emerg Technol 85:684–710

2. Akamatsu T (1996) Cyclic flows, Markov process and stochastic traffic assignment. Transp Res Part B Methodol 30(5):369–386

3. Akamatsu T (1997) Decomposition of path choice entropy in general transport networks. Transp Sci 31(4):349–362

4. Akuh R, Zhong M, Raza A, Dong Y (2023) A method for evaluating the balance of land use and multimodal transport system of new towns/cities using an integrated modeling framework. Multimodal Transp 2(1):100063

5. Ameli M, Lebacque JP, Leclercq L (2020) Simulation-based dynamic traffic assignment: Meta-heuristic solution methods with parallel computing. Comput-Aided Civil Infrastruct Eng 35(10):1047–1062

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