Key technologies of low-carbon-oriented intelligent travel service for urban rail transit based on MaaS

Haochun Yang; Jinmu Lu; Hua Lu; Yunfeng Gao; Xianglong Liu; Haode Liu

doi:10.1117/12.2628002

14 March 2022 Key technologies of low-carbon-oriented intelligent travel service for urban rail transit based on MaaS

Haochun Yang, Jinmu Lu, Hua Lu, Yunfeng Gao, Xianglong Liu, Haode Liu

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650N (2022) https://doi.org/10.1117/12.2628002
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

In response to China’s “transportation power”, “carbon peak by 2030”, “carbon neutral by 2060” and other policies, the urban rail transit system is gradually becoming digital, intelligent, and green development with the support of technologies such as “Internet +” and “shared travel”. Residents' needs for green travel, intelligent services, and information integration have also appeared. Transportation and travel pay more attention to the construction of a humancentric integrated travel chain system. "Mobility as a Service" (MaaS) has improved urban traffic problems to a certain extent. It has also met diversified travel needs and improved the quality of travel services. Based on the current research status and background at home and abroad, this paper clarifies the connotation of MaaS concept and system framework, and focuses on summarizing the key technologies of the MaaS-oriented urban rail transit smart service platform: passenger multi-mode identity authentication and aggregate payment technology and equipment, reversible Using enterprise-level urban rail transit service middle-station technology, blockchain-based multi-agent trusted transportation travel management, and one-stop accurate information services based on carbon credit incentives and behavioral profiling, the above content can solve the data fragmentation in the transportation field. Difficult to associate; parties do not trust each other; value mining is simple; business disconnection issues. Finally, it puts forward suggestions on building a MaaS smart service platform at the government, enterprise, and individual levels.

Citation Download Citation

Haochun Yang, Jinmu Lu, Hua Lu, Yunfeng Gao, Xianglong Liu, and Haode Liu "Key technologies of low-carbon-oriented intelligent travel service for urban rail transit based on MaaS", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650N (14 March 2022); https://doi.org/10.1117/12.2628002

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KEYWORDS

Data modeling

Data storage

Carbon

Data centers

Data conversion

Data fusion

Intelligence systems

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