Transfer Coordination for Metro Networks during the Start- or End-of-Service Period
When travelling via metro networks during the start- or end-of-service period, transferring passengers may suffer a transfer failure. Accordingly, the synchronization timetabling problem necessitates consideration of transfer waiting time and transfer availability with respect to the first or last t...
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2018-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/3835270 |
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doaj-4a19224370c0423398b2d5b0074bbada2020-11-25T02:27:43ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/38352703835270Transfer Coordination for Metro Networks during the Start- or End-of-Service PeriodLiqiao Ning0Peng Zhao1Wenkai Xu2Ke Qiao3School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaWhen travelling via metro networks during the start- or end-of-service period, transferring passengers may suffer a transfer failure. Accordingly, the synchronization timetabling problem necessitates consideration of transfer waiting time and transfer availability with respect to the first or last train. Hence, transfer train index (TTI) is formulated to identify the transfer train and calculate the transfer waiting time. Furthermore, two types of connection indexes, the last connection train index (LCTI) and the first connection train index (FCTI), are devised to distinguish transfer failure from transfer success, and the penalty constraints are implemented together to reflect the adverse effects of transfer failure. Then, a mixed integer programming model is developed to concurrently reduce transfer waiting time and improve transfer availability, which can be solved by CPLEX. Finally, a case study on Beijing metro network is made to verify the method. Experimental results show that our proposed model can yield synchronization solutions with significant reductions in both the average transfer waiting time and the proportion of transfer failure passengers.http://dx.doi.org/10.1155/2018/3835270 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liqiao Ning Peng Zhao Wenkai Xu Ke Qiao |
spellingShingle |
Liqiao Ning Peng Zhao Wenkai Xu Ke Qiao Transfer Coordination for Metro Networks during the Start- or End-of-Service Period Mathematical Problems in Engineering |
author_facet |
Liqiao Ning Peng Zhao Wenkai Xu Ke Qiao |
author_sort |
Liqiao Ning |
title |
Transfer Coordination for Metro Networks during the Start- or End-of-Service Period |
title_short |
Transfer Coordination for Metro Networks during the Start- or End-of-Service Period |
title_full |
Transfer Coordination for Metro Networks during the Start- or End-of-Service Period |
title_fullStr |
Transfer Coordination for Metro Networks during the Start- or End-of-Service Period |
title_full_unstemmed |
Transfer Coordination for Metro Networks during the Start- or End-of-Service Period |
title_sort |
transfer coordination for metro networks during the start- or end-of-service period |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
When travelling via metro networks during the start- or end-of-service period, transferring passengers may suffer a transfer failure. Accordingly, the synchronization timetabling problem necessitates consideration of transfer waiting time and transfer availability with respect to the first or last train. Hence, transfer train index (TTI) is formulated to identify the transfer train and calculate the transfer waiting time. Furthermore, two types of connection indexes, the last connection train index (LCTI) and the first connection train index (FCTI), are devised to distinguish transfer failure from transfer success, and the penalty constraints are implemented together to reflect the adverse effects of transfer failure. Then, a mixed integer programming model is developed to concurrently reduce transfer waiting time and improve transfer availability, which can be solved by CPLEX. Finally, a case study on Beijing metro network is made to verify the method. Experimental results show that our proposed model can yield synchronization solutions with significant reductions in both the average transfer waiting time and the proportion of transfer failure passengers. |
url |
http://dx.doi.org/10.1155/2018/3835270 |
work_keys_str_mv |
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