Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84440
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dc.contributor.authorCao, Zhiguangen
dc.contributor.authorGuo, Hongliangen
dc.contributor.authorZhang, Jieen
dc.date.accessioned2019-07-09T01:46:33Zen
dc.date.accessioned2019-12-06T15:45:16Z-
dc.date.available2019-07-09T01:46:33Zen
dc.date.available2019-12-06T15:45:16Z-
dc.date.issued2018en
dc.identifier.citationCao, Z., Guo, H., & Zhang, J. (2018). A multiagent-based approach for vehicle routing by considering both arriving on time and total travel time. ACM Transactions on Intelligent Systems and Technology, 9(3), 25-. doi:10.1145/3078847en
dc.identifier.issn2157-6904en
dc.identifier.urihttps://hdl.handle.net/10356/84440-
dc.description.abstractArriving on time and total travel time are two important properties for vehicle routing. Existing route guidance approaches always consider them independently, because they may conflict with each other. In this article, we develop a semi-decentralized multiagent-based vehicle routing approach where vehicle agents follow the local route guidance by infrastructure agents at each intersection, and infrastructure agents perform the route guidance by solving a route assignment problem. It integrates the two properties by expressing them as two objective terms of the route assignment problem. Regarding arriving on time, it is formulated based on the probability tail model, which aims to maximize the probability of reaching destination before deadline. Regarding total travel time, it is formulated as a weighted quadratic term, which aims to minimize the expected travel time from the current location to the destination based on the potential route assignment. The weight for total travel time is designed to be comparatively large if the deadline is loose. Additionally, we improve the proposed approach in two aspects, including travel time prediction and computational efficiency. Experimental results on real road networks justify its ability to increase the average probability of arriving on time, reduce total travel time, and enhance the overall routing performance.en
dc.description.sponsorshipMOE (Min. of Education, S’pore)en
dc.format.extent22 p.en
dc.language.isoenen
dc.relation.ispartofseriesACM Transactions on Intelligent Systems and Technologyen
dc.rights© 2017 ACM. All rights reserved. This paper was published by ACM in ACM Transactions on Intelligent Systems and Technology and is made available with permission of ACM.en
dc.subjectIntelligent Transportation Systemsen
dc.subjectMultiagent-based Route Guidanceen
dc.subjectEngineering::Computer science and engineeringen
dc.titleA multiagent-based approach for vehicle routing by considering both arriving on time and total travel timeen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.identifier.doi10.1145/3078847en
dc.description.versionAccepted versionen
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