Multiagent System–Based Near-Real-Time Trajectory and Microscopic Timetable Optimization for Rail Transit Network

Author:

Guo Yida1ORCID,Zhang Cheng2,Wu Chaoxian1ORCID,Lu Shaofeng3

Affiliation:

1. Ph.D. Candidate, Xi’an Jiaotong-Liverpool Univ., 111 Ren’ai Rd., Suzhou 215123, China. ORCID: .

2. Associate Professor, Xi’an Jiaotong-Liverpool Univ., 111 Ren’ai Rd., Suzhou 215123, China (corresponding author).

3. Associate Professor, South China Univ. of Technology, 777 Xingye Ave. East, Panyu District, Guangzhou 511442, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference32 articles.

1. Solution of the problem of the energetically optimal control of the motion of a train by the maximum principle;Asnis I. A.;USSR Comput. Math. Math. Phys.,1985

2. Burckert H. K. Fischer and G. Vierke. 1998. “Transportation scheduling with holonic MAS: The teletruck approach.” In Proc. 3rd Int. Conf. on the Practical Application of Intelligent Agents and Multi-Agent Technology. Kaiserslautern Germany: German Research Center for Artificial Intelligence.

3. Guo Y. Q. Wang S. Lu and C. Zhang. 2019a. “Multi-agent systems for energy efficient train and train station interaction modelling.” In Proc. Int. Conf. on Sustainable Buildings and Structures. London: CRC Press.

4. Guo Y. C. Zhang and S. Lu. 2019b. “Enhancing sustainability of rail transit system by applying multi-agent system.” In Proc. Int. Conf. on Computing in Civil Engineering. Reston VA: ASCE.

5. Guo Y. C. Zhang and S. Lu. 2019c. “The application of a multi-agent system in control systems of rail transit.” In Proc. 2019 Transportation Research Board. Suzhou Jiangsu: Xi’an Jiaotong-Liverpool Univ.

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