@inproceedings{5b048004170644a3bdfc4dfe5b61b292,
title = "Operation Optimization on Bus and ART by Evolutionary Game Theory",
abstract = "Autonomous rail Rapid Transit (ART) is a new type of medium volume public transport, with short construction cycle, low economic cost and zero emissions and other significant advantages, which is a supplement to the current public transport. However, the research on its operation mode is relatively insufficient, especially the cooperative operation mode between ART and conventional public transport system (bus) has not been studied. Therefore, starting from the problem of whether bus and ART choose to participate in this mode, and aiming at the characteristics of bounded rationality of their strategic choice, an evolutionary game model based on the selection process of these two passenger transportation modes was established by using evolutionary game method. The stability analysis and simulation analysis were carried out by using relevant data. The results showed that the final stable state is both cooperative and neither cooperative. The greater the initial participation will promote the final cooperation, and the initial participation intention of bus has a greater influence on the final result; government agencies should encourage bus service providers to participate in cooperative operation and improve the level of public transport services.",
keywords = "ART, Evolutionary game, Operation strategy, Public transport, Replicated dynamic equation",
author = "Hongbo Lu and Yong Liu and Xiaowei Hu and Zhanguo Xu and Zhuo Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022 ; Conference date: 16-09-2022 Through 18-09-2022",
year = "2024",
doi = "10.1007/978-981-97-2443-7\_6",
language = "英语",
isbn = "9789819724420",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "77--89",
editor = "Wuhong Wang and Lisheng Jin and Haiqiu Tan",
booktitle = "Smart Transportation and Green Mobility Safety - Green Mobility",
address = "德国",
}