Distributed Multi-Agent Based Approach on an Intelligent Transportation Network
Commenced in January 2007
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Paper Count: 32797
Distributed Multi-Agent Based Approach on an Intelligent Transportation Network

Authors: Xiao Yihong, Yu Kexin, Burra Venkata Durga Kumar

Abstract:

With the accelerating process of urbanization, the problem of urban road congestion is becoming more and more serious. Intelligent transportation system combining distributed and artificial intelligence has become a research hotspot. As the core development direction of the intelligent transportation system, Cooperative Intelligent Transportation System (C-ITS) integrates advanced information technology and communication methods and realizes the integration of human, vehicle, roadside infrastructure and other elements through the multi-agent distributed system. By analyzing the system architecture and technical characteristics of C-ITS, the paper proposes a distributed multi-agent C-ITS. The system consists of Roadside Subsystem, Vehicle Subsystem and Personal Subsystem. At the same time, we explore the scalability of the C-ITS and put forward incorporating local rewards in the centralized training decentralized execution paradigm, hoping to add a scalable value decomposition method. In addition, we also suggest introducing blockchain to improve the safety of the traffic information transmission process. The system is expected to improve vehicle capacity and traffic safety.

Keywords: Distributed system, artificial intelligence, multi-agent, Cooperative Intelligent Transportation System.

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References:


[1] Tao, Y. (2016). Study on Regional Traffic Signal Control System Based on Multi-agent.
[2] B. Lehmann, H. G. (2018). A Generic Approach towards Maneuver Coordination for Automated Vehicles.
[3] Correa, A. a. (2019). Infrastructure Support for Cooperative Maneuvers in Connected and Automated Driving.
[4] Mejdoubi, A. F. (2019). A Distributed Predictive Road Traffic Management System in Urban VANETs.
[5] Chen, L., & Englund, C. (2014). Cooperative ITS — EU standards to accelerate cooperative mobility.
[6] Zolfpour-Arokhlo, M. &. (2016). A multi-agent system approach to control road transportation network. 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).
[7] European, T.S.C(2017, November 14). Briefing: Cooperative Intelligent Transport Systems (C-ITS) | ETSC. European Transport Safety Council.
[8] Karli, R. G. (2022). Current Trends in Smart Cities: Shared Micromobility. Innovations in Smart Cities Applications Volume 5, 187–198.
[9] WHO. (2021). WHO kicks off a Decade of Action for Road Safety.
[10] FOTW. (2021). Fuel Wasted Due to U.S. Traffic Congestion in 2020 Cut in Half from 2019 to 2020. Energy.Gov.
[11] Autili, M. C. (2021). Cooperative Intelligent Transport Systems: Choreography-Based Urban Traffic Coordination. IEEE Transactions on Intelligent Transportation Systems.
[12] Li, W., Wu, G., Barth, M. J., & Zhang, Y. (2016). Safety, Mobility and Environmental Sustainability of Eco-Approach and. IEEE Intelligent Vehicles Symposium (IV). Retrieved from https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535528
[13] Dai, S. (2019, 09 20). The influence of vehicle exhaust on atmospheric environment and its prevention. Grassroots Construction.
[14] Lasla, N., Younis, M., Znaidi, W., & Arbia, D. B. (2018, 2 8). Efficient Distributed Admission and Revocation. Retrieved from IEEE: https://ieeexplore.ieee.org/document/8328734