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Yazdani, D, Omidvar, MN, Deplano, I, Lersteau, C, Makki, A, Wang, J and Nguyen, TT (2019) Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers. Transportation Research Part C: Emerging Technologies, 103. pp. 158-173. ISSN 0968-090X
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Abstract
Rail is considered as one of the most important ways of transferring passengers. High passenger loads has implications on train punctuality. One of the important parameters affecting punctuality is the average boarding/alighting time. Organizing boarding/alighting flows not only reduces the risk of extended dwell time, but also minimizes the risk of injuries and improves the overall service quality. In this paper, we investigate the possibility of minimizing the boarding/alighting time by maintaining a uniform load on carriages through systematic distribution of passengers with flexible tickets, such as season or anytime tickets where no seat information are provided at the time of reservation. To achieve this, the proposed algorithm takes other information such as passenger final destination, uniform load of luggage areas, as well as group travelers into account. Moreover, a discrete event simulation is designed for measuring the performance of the proposed method. The performance of the proposed method is compared with three algorithms on different test scenarios. The results show the superiority of the proposed method in terms of minimizing boarding/alighting time as well as increasing the success rate of assigning group of seats to group of passengers.
| Item Type: | Article |
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| Uncontrolled Keywords: | 09 Engineering, 08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services |
| Subjects: | T Technology > T Technology (General) T Technology > TF Railroad engineering and operation |
| Divisions: | Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20) |
| Publisher: | Elsevier |
| Date Deposited: | 15 Mar 2019 16:16 |
| Last Modified: | 04 Sep 2021 09:37 |
| DOI or ID number: | 10.1016/j.trc.2019.03.014 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/10343 |
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