{"type":"ScholarlyArticle","title":"Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips","authors":[{"name":"Ke Li","slug":"ke-li","given":"Ke","family":"Li","affiliation":"University of Electronic Science and Technology of China , China like"},{"name":"Lisi Chen","slug":"lisi-chen","given":"Lisi","family":"Chen","affiliation":"University of Electronic Science and Technology of China , China like"},{"name":"Shuo Shang","slug":"shuo-shang","given":"Shuo","family":"Shang","affiliation":"University of Electronic Science and Technology of China , China like"}],"abstract":"We investigate the problem of optimal route planning for massive-scale trips: Given a traffic-aware road network and a set of trip queries Q, we aim to find a route for each trip such that the global travel time cost for all queries in Q is minimized. Our problem is designed for a range of applications such as traffic-flow management, route planning and congestion prevention in rush hours. The exact algorithm bears exponential time complexity and is computationally prohibitive for application scenarios in dynamic traffic networks. To address the challenge, we propose a greedy algorithm and an epsilon-refining algorithm. Extensive experiments offer insight into the accuracy and efficiency of our proposed algorithms.","doi":"10.24963/ijcai.2020/470","url":"https://ijcai.org/proceedings/2020/470","pdf":"https://ijcai.org/proceedings/2020/0470.pdf","markdown":"https://ijcai.org/proceedings/2020/470.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/470","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Multidisciplinary Topics and Applications","track":"Main track","number":470,"pages":{"first":3400,"last":3406},"keywords":["Planning and Scheduling: Real-time Planning","Multidisciplinary Topics and Applications: Databases","Planning and Scheduling: Planning Algorithms","Multidisciplinary Topics and Applications: Transportation"],"videos":[{"label":"Video","url":"https://videos.ijcai20.org/25334/file_25334.m3u8","length_sec":282,"provider":"hls"}],"references":[{"position":1,"raw":"[Babak et al., 2018] Javani Babak, Babazadeh Abbas, and Ceder Avishai (Avi). 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