Providing regularity in buses' operation in high-frequency services is essential to offer a good quality of service to users. If buses are not dispatched at regular headways from the terminal, headway irregularity will gradually increase along the line. In this work, we study a vehicle dispatching problem in which multiple lines start their operations from a common terminal where buses can interchange between lines. The model simultaneously decides the ideal dispatching headway for each line and assigns the following arriving buses to the terminal its line to operate and its corresponding dispatching time. The objective is to minimize the dispatching interval's deviation from an ideal headway that is dynamically updated based on the system's status. We formulate our problem as a Mixed-integer quadratic problem and adopt a rolling horizon policy to cope with the dynamic and stochastic environment of public transit systems. We prove that a bus assignment that satisfies the FIFO discipline is an optimal solution for the proposed problem. We evaluate our model in a simulation environment under different operational conditions and study the incremental benefits of allowing different flexibility schemes. Our results show that a full flexibility scheme where buses can freely interchange between lines reduces the coefficient of variation of dispatch headways and improves frequency compliance by nearly 20% when compared with the case where buses are restricted to operate in a single line. It also outperforms a myopic heuristic that adopts a a priori target headway. Computational times are compatible with real-time applications.
机构:
Univ Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
VIA Analyt, Berkeley, CA 94704 USAUniv Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
Argote-Cabanero, Juan
Daganzo, Carlos F.
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机构:
Univ Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
VIA Analyt, Berkeley, CA 94704 USAUniv Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
Daganzo, Carlos F.
Lynn, Jacob W.
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VIA Analyt, Berkeley, CA 94704 USAUniv Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
机构:
Huazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Liu, Yichen
Zhou, Pan
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Huazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Zhou, Pan
Yang, Lei
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South China Univ Technol, Sch Software Engn, Guangzhou 510006, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Yang, Lei
Wu, Yulei
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机构:
Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, EnglandHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Wu, Yulei
Xu, Zichuan
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Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116621, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Xu, Zichuan
Liu, Kai
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Chongqing Univ, Coll Comp Sci, Chongqing 400030, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Liu, Kai
Wang, Xiumin
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South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R ChinaHuazhong Univ Sci & Technol, Hubei Engn Res Ctr Big Data Secur, Sch Cyber Sci & Engn, Wuhan 430074, Hubei, Peoples R China
Wang, Xiumin
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE,
2022,
6
(03):
: 462
-
478
机构:
Korea Aerosp Res Inst, Res Evaluat & Planning Div, Taejon 305333, South KoreaKorea Aerosp Res Inst, Res Evaluat & Planning Div, Taejon 305333, South Korea