Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 13, Issue: 3
2023
- 4Citations
- 21Captures
- 2Mentions
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Applied Sciences, Vol. 13, Pages 1471: Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
Applied Sciences, Vol. 13, Pages 1471: Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network Applied Sciences doi: 10.3390/app13031471 Authors: Liyu Wang Fang
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Researcher from Beijing Jiaotong University Publishes New Studies and Findings in the Area of Applied Sciences (Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network)
2023 FEB 02 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- Investigators publish new report on applied sciences. According to
Article Description
It has been proven that developing urban rail transit (URT) is the key to solving the traffic problems in big cities, and transport efficiency is essential for scientific line planning and construction, operation management and sustainable development of urban rail transit. This paper focuses on the transport efficiency of the URT network and adopts shadow efficiency theory creatively to combine factors of passengers, capacity, and efficiency effectively. A quantitative calculation method of system utility based on “double time penalty” is proposed. According to the characteristics of Beijing URT, this paper puts forward a single optimization strategy and combinatorial optimization strategy and analyzes the results with DEA. The simulation of Beijing subway network proves the availability of the method and its optimization effects.
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