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A simulation model for estimating train and passenger delays in large-scale rail transit networks
  • 分类:U292.4[交通运输工程—交通运输规划与管理;交通运输工程—道路与铁道工程] TU984.191[建筑科学—城市规划与设计]
  • 作者机构:[1]School of Transportation Engineering, Tongji University, Shanghai 201804, China, [2]IBM China Research Lab, Beijing 100094, China
  • 相关基金:Project(51008229) supported by the National Natural Science Foundation of China; Project supported by Key Laboratory of Road and Traffic Engineering of Tongji University, China
中文摘要:

A simulation model was proposed to investigate the relationship between train delays and passenger delays and to predict the dynamic passenger distribution in a large-scale rail transit network.It was assumed that the time varying original-destination demand and passenger path choice probability were given.Passengers were assumed not to change their destinations and travel paths after delay occurs.Capacity constraints of train and queue rules of alighting and boarding were taken into account.By using the time-driven simulation,the states of passengers,trains and other facilities in the network were updated every time step.The proposed methodology was also tested in a real network,for demonstration.The results reveal that short train delay does not necessarily result in passenger delays,while,on the contrary,some passengers may get benefits from the short delay.However,large initial train delay may result in not only knock-on train and passenger delays along the same line,but also the passenger delays across the entire rail transit network.更多还原

英文摘要:

A simulation model was proposed to investigate the relationship between train delays and passenger delays and to predict the dynamic passenger distribution in a large-scale rail transit network. It was assumed that the time varying original-destination demand and passenger path choice probability were given. Passengers were assumed not to change their destinations and travel paths after delay occurs. CapaciW constraints of train and queue rules of alighting and boarding were taken into account. By using the time-driven simulation, the states of passengers, trains and other facilities in the network were updated every time step. The proposed methodology was also tested in a real network, for demonstration. The results reveal that short train delay does not necessarily result in passenger delays, while, on the contrary, some passengers may get benefits from the short delay. However, large initial train delay may result in not only knock-on train and passenger delays along the same line, but also the passenger delays across the entire rail transit network.

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