Both passenger demand and service supply are among the most important factors that determine the performance of urban rail transit system. It is not easy to find out optimal solution for the match between the passenger demand and service supply with traditional methods, due to the complexity of the combinatorial intelligent supply — demand matching problem. In order to get the comprehensively optimal matching degree, this paper transforms the multi-criteria problem into the distributed artificial intelligence optimization by using multi-agent dynamic interaction technique.

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[1] Jiamin Zhang, "matching between passenger demand and service supply for urban rail transit network", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/xda1-5421. Accessed: Jul. 15, 2024.
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doi = {10.21227/xda1-5421},
url = {http://dx.doi.org/10.21227/xda1-5421},
author = {Jiamin Zhang },
publisher = {IEEE Dataport},
title = {matching between passenger demand and service supply for urban rail transit network},
year = {2021} }
TY - DATA
T1 - matching between passenger demand and service supply for urban rail transit network
AU - Jiamin Zhang
PY - 2021
PB - IEEE Dataport
UR - 10.21227/xda1-5421
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Jiamin Zhang. (2021). matching between passenger demand and service supply for urban rail transit network. IEEE Dataport. http://dx.doi.org/10.21227/xda1-5421
Jiamin Zhang, 2021. matching between passenger demand and service supply for urban rail transit network. Available at: http://dx.doi.org/10.21227/xda1-5421.
Jiamin Zhang. (2021). "matching between passenger demand and service supply for urban rail transit network." Web.
1. Jiamin Zhang. matching between passenger demand and service supply for urban rail transit network [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/xda1-5421
Jiamin Zhang. "matching between passenger demand and service supply for urban rail transit network." doi: 10.21227/xda1-5421