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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Main Authors: Liqiao Ning, Peng Zhao, Wenkai Xu, Ke Qiao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/3835270
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spelling 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 AT liqiaoning transfercoordinationformetronetworksduringthestartorendofserviceperiod
AT pengzhao transfercoordinationformetronetworksduringthestartorendofserviceperiod
AT wenkaixu transfercoordinationformetronetworksduringthestartorendofserviceperiod
AT keqiao transfercoordinationformetronetworksduringthestartorendofserviceperiod
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