He Chao-Ming
Mechanical Engineering School, Southwest Jiao Tong University, Chengdu, 610031, China
Cheng Pei-Pei
Mechanical Engineering School, Southwest Jiao Tong University, Chengdu, 610031, China
Zhang Mao
Mechanical Engineering School, Southwest Jiao Tong University, Chengdu, 610031, China
Cheng Meng-Zi
Mechanical Engineering School, Southwest Jiao Tong University, Chengdu, 610031, China
Lei Lei
Mechanical Engineering School, Southwest Jiao Tong University, Chengdu, 610031, China
ABSTRACT
Passenger flow forecast reflects the route passenger distribution over time and inter-station. By analyzing the passenger flow prediction model of a route and dividing the all-day traffic into three sections according to time periods, the concept of passenger satisfaction and energy consumption satisfaction is proposed. The maximum operating speed meeting the objective function is found by using genetic algorithms. Then by using the train operation simulation system, the travelling location and velocity of the train on the whole line are mapped out and finally the optimized result is analyzed. The data shows that this method can not only meet passenger demand well but also perform well in energy consumption and passenger satisfaction.
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How to cite this article
He Chao-Ming, Cheng Pei-Pei, Zhang Mao, Cheng Meng-Zi and Lei Lei, 2013. Study on Optimization Model of Subway Train Operation Based on the Forecast
of Passenger Flow. Information Technology Journal, 12: 6940-6946.
DOI: 10.3923/itj.2013.6940.6946
URL: https://scialert.net/abstract/?doi=itj.2013.6940.6946
DOI: 10.3923/itj.2013.6940.6946
URL: https://scialert.net/abstract/?doi=itj.2013.6940.6946
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