Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/3284

HERO: Online real-time vehicle tracking in Shanghai

Authors Zhu, H.
Zhu, Y.
Li, M.
Ni, L.M.
Issue Date 2008
Source Proceedings - IEEE INFOCOM, 2008, p. 1615-1623
Summary Intelligent transportation systems have become increasingly important for the public transportation in Shanghai. In response, ShanghaiGrid (SG) aims to provide abundant intelligent transportation services to improve the traffic condition. A challenging service in SG is to accurately locate the positions of moving vehicles in real time. In this paper we present an innovative scheme HERO to tackle this problem. In SG, the location information of individual vehicles is actively logged in local nodes which are distributed throughout the city. For each vehicle, HERO dynamically maintains an advantageous hierarchy on the overlay network of local nodes to conservatively update the location information only in nearby nodes. By bounding the maximum number of hops the query is routed, HERO guarantees to meet the real-time constraint associated with each vehicle. Extensive simulations based on the real road network and trace data of vehicle movements from Shanghai demonstrate the efficacy of HERO. © 2008 IEEE.
Subjects
ISSN 0743-166X
Rights © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language English
Format Conference paper
Access View full-text via DOI
View full-text via Scopus
Find@HKUST
Files in this item:
File Description Size Format
045097421.pdf 536.82 kB Adobe PDF