Evaluating rail transit timetable using big passengers' data

作者：

Highlights：

• A time-driven microscopic simulation model to evaluate train timetable with big passengers' data is presented.

• The drawbacks of scheduled timetables by the analysis of the interaction between trains and passengers is assessed.

• The train load factors and the extra passengers' waiting times due to overcrowded vehicles are taken into account.

• A real rail transit line that involves 634 trains and more than 1 million passenger trips per day is examined.

摘要

•A time-driven microscopic simulation model to evaluate train timetable with big passengers' data is presented.•The drawbacks of scheduled timetables by the analysis of the interaction between trains and passengers is assessed.•The train load factors and the extra passengers' waiting times due to overcrowded vehicles are taken into account.•A real rail transit line that involves 634 trains and more than 1 million passenger trips per day is examined.

论文关键词：Timetable evaluation,Passenger volume,Train capacity,Load factor,Micro-simulation

论文评审过程：Received 29 January 2015, Revised 7 August 2015, Accepted 15 August 2015, Available online 28 August 2015, Version of Record 28 October 2015.

论文官网地址：https://doi.org/10.1016/j.jcss.2015.08.004