Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151283
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dc.contributor.authorZhang, Yien_US
dc.contributor.authorGao, Kaizhouen_US
dc.contributor.authorZhang, Yichengen_US
dc.contributor.authorSu, Rongen_US
dc.date.accessioned2021-06-16T03:45:26Z-
dc.date.available2021-06-16T03:45:26Z-
dc.date.issued2018-
dc.identifier.citationZhang, Y., Gao, K., Zhang, Y. & Su, R. (2018). Traffic light scheduling for pedestrian-vehicle mixed-flow networks. IEEE Transactions On Intelligent Transportation Systems, 20(4), 1468-1483. https://dx.doi.org/10.1109/TITS.2018.2852646en_US
dc.identifier.issn1524-9050en_US
dc.identifier.other0000-0001-6055-9461-
dc.identifier.other0000-0001-5979-793X-
dc.identifier.other0000-0003-3448-0586-
dc.identifier.urihttps://hdl.handle.net/10356/151283-
dc.description.abstractThis paper presents a macroscopic model for pedestrian-vehicle mixed-flow network and a traffic signal scheduling strategy for both pedestrians and vehicles. We first propose a novel mathematical model of pedestrians crossing a junction. By combining a link-based vehicle network model, a traffic light scheduling problem is formulated with the aim to strike a good balance between pedestrians' needs and vehicle drivers' needs. The problem is first converted into a mixed-integer linear programming (MILP) problem via a novel transformation procedure, which is solvable by several existing solvers, e.g., GUROBI. Then a meta-heuristic method called discrete harmony search (DHS) algorithm is also adopted to reduce the computational complexity in MILP. Numerical simulation results are provided to illustrate the effectiveness of our real-time traffic light scheduling strategy for pedestrians and vehicles, and the potential impact of the pedestrian movement to the vehicle traffic flows.en_US
dc.description.sponsorshipEconomic Development Board (EDB)en_US
dc.language.isoenen_US
dc.relationS15-1105-RF-LLF URBANen_US
dc.relation.ispartofIEEE Transactions on Intelligent Transportation Systemsen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleTraffic light scheduling for pedestrian-vehicle mixed-flow networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/TITS.2018.2852646-
dc.identifier.scopus2-s2.0-85050956976-
dc.identifier.issue4en_US
dc.identifier.volume20en_US
dc.identifier.spage1468en_US
dc.identifier.epage1483en_US
dc.subject.keywordsUrban Traffic Signal Schedulingen_US
dc.subject.keywordsMacroscopic Pedestrian Flow Modelen_US
dc.description.acknowledgementThis work was supported by the Economic Development Board, Singapore, through the Development of NTU/NXP Smart Mobility Test-Bed Project, under Grant S15-1105-RF-LLF URBAN.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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