期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 17, 期 12, 页码 3364-3379出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2016.2549282
关键词
Train timetable; urban rail transit; passenger travel time; energy-saving operation; genetic algorithm
资金
- Beijing Municipal Commission of Education [I13H100020, I15H100010]
- Fundamental Research Funds for the Central Universities [I15JB00030]
- National Natural Science Foundation of China [71271020, 71422002, U1434209]
This paper formulates a two-objective model to optimize the timetables of urban rail transit systems based on energy-saving strategies and service quality levels. With time-dependent passenger demands, the calculation process of passenger travel time simulates boarding and alighting activities with some constraints to guarantee traffic capacity and meet passenger requirements, particularly in the over saturated conditions. Traction and auxiliary energy consumption are considered in the operational energy consumption calculation. The regenerative energy, which is generated from braking trains and simultaneously used by traction trains, is also taken into account in the calculation with transmission loss. Through adjusting the headway, this model makes a tradeoff between passenger travel time and operational energy consumption with guaranteed traffic capability. Furthermore, a genetic algorithm with the binary encoding method is designed to obtain high-quality timetables. Based on the operational data of the Beijing Yizhuang subway line, we implement some numerical experiments to demonstrate the effectiveness of the proposed approaches.
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