Title :
Train dwell time distributions at short stop stations
Author :
Li, Di-Jie ; Goverde, Rob M. P. ; Daamen, Winnie ; He, Haibo
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Abstract :
The train dwell time at short stop stations would influence route conflict in the railway time table, thus plays an important role in railway timetabling and rescheduling. However, it is not well estimated due to the lack of adequate understanding of its dependencies. In this paper, the train dwell times are estimated by means of algorithms based on the track occupation data of the Dutch railway network. The algorithm takes the train driver behavior into account which makes the result more accurate. Totally 17306 trains running from 1 Sep. 2012 to 30 Nov. 2012 are processed and analyzed. The distribution of the dwell times fits a lognormal distribution. The cumulative distribution functions of dwell times in different stations are same statistically. The dwell times at short stop stations are different from large stations. In addition to the number of alighting and boarding passengers, it found that the dwell times at short stops are also influenced by different weekday, peak hour, train length, which indicates the potential for further real time prediction of train dwell times.
Keywords :
log normal distribution; railway industry; scheduling; Dutch railway network; cumulative distribution functions; lognormal distribution; railway rescheduling; railway time table; railway timetabling; real time prediction; route conflict; short stop stations; track occupation data; train driver behavior; train dwell time distributions; Estimation; Gaussian distribution; Insulation; Optimized production technology; Rail transportation; Tracking; Uncertainty;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6958076