Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit
نویسندگان
چکیده
منابع مشابه
Passenger Flow Forecast Algorithm for Urban Rail Transit
To exactly forecast the urban rail transit passenger flow, a multi-level model combining neural network and Kalman filter was proposed. Firstly, ELAN neural network model was introduced to implement a preliminary forecast of the passenger flow. Then the Kalman filter was used to correct the preliminary forecast results, so as to further improve the accuracy. Finally, in order to validate the pr...
متن کاملModeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform
1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; [email protected] 2 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China 3 Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China * Correspondence: [email protected]...
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The Urban Rail Transit (URT) has been one of the major trip modes in cities worldwide. As the passengers arrive at variable rates in different time slots, e.g., rush and non-rush hours, the departure frequency at a site directly relates to perceived service quality of passengers; the high departure frequency, however, incurs more operation cost to URT. Therefore, a tradeoff between the interest...
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Based on large-scale human mobility data collected in San Francisco and Boston, the morning peak urban rail transit (URT) ODs (origin-destination matrix) were estimated and the most vulnerable URT segments, those capable of causing the largest service interruptions, were identified. In both URT networks, a few highly vulnerable segments were observed. For this small group of vital segments, the...
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Accurate forecasting of short-term passenger flow has been one of the most important issues in urban rail transit planning and operation. Considering the shortcomings of traditional forecasting methods, and in order to improve forecasting accuracy of passenger flow, this paper presents a wavelet neural network (WNN) for short-term passenger flow forecasting. One real urban rail transit station ...
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ژورنال
عنوان ژورنال: Journal of Advanced Transportation
سال: 2018
ISSN: 0197-6729,2042-3195
DOI: 10.1155/2018/7805168