With the increasing expansion of urban populations, the demand for urban public travel at night is increasing. At present, the nighttime travel demand of cities mainly depends on taxis, which means taxi GPS trajectory data can present the urban night public travel demand well. As a low-carbon and efficient public transport mode, meeting these travel demands with buses can effectively improve urban public transport system service while reducing carbon emissions. Planning reasonable departure time intervals based on the reasonable estimated night bus passenger flow becomes necessary. This paper proposes a night bus departure time interval planning model based on taxi GPS trajectory data considering the passengers’ willingness. The model aims to minimize the total waiting time cost of passengers and considers the carbon emission constraint. Selecting a night bus line in Shanghai, it uses a simulation method based on queuing theory and formulates a departure time interval of 27 min.
Urban Night Bus Departure Time Interval Planning Method Based on Taxi GPS Trajectory Data
22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China
CICTP 2022 ; 3051-3059
2022-09-08
Conference paper
Electronic Resource
English
Departure Taxi Time Predictions Using ASDE-X Surveillance Data
British Library Conference Proceedings | 2008
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