Real-time customized bus routes design with optimal passenger and vehicle matching based on column generation algorithm

Chan Shen, Yao Sun, Zijian Bai and Hongjun Cui

Physica A: Statistical Mechanics and its Applications, 2021, vol. 571, issue C

Abstract: With the popularity and development of mobile Internet, new transportation network services such as customized buses are expected to become a new way of popular transportation in crowded metropolises. In this paper, we propose a real-time customized bus routes design model. We divide the proposed model into two-stage problem to solve. The first stage problem is the vehicle route problem with time window (VRPTW), and the second stage problem is bilateral matching problem. For the first stage, the column generation algorithm is used to solve the problem. For the second stage, we solve it by the improved H-R bilateral matching algorithm. Finally, data on customized bus in Tianjin city of China are used to verify the accuracy of the real-time customized bus routes design model. The optimized results show that the average attendance rate has reached 70.8%, and the service rate of passenger has reached 88.5%. The results have proved that the real-time customized bus routes design model has a practical applicability in operation.

Keywords: Customized bus; Real-time; Two-stage; Column generation algorithm; H-R bilateral matching algorithm (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:571:y:2021:i:c:s0378437121001084

DOI: 10.1016/j.physa.2021.125836

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