Exploiting temporal stability and low-rank structure for localization in mobile networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
A visual analytics system for metropolitan transportation
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
MobiCom 2011 poster: vehicular mobility in large-scale urban environments?
ACM SIGMOBILE Mobile Computing and Communications Review
Capillary networks: a novel networking paradigm for urban environments
Proceedings of the first workshop on Urban networking
A Low-Collision CSMA-Based Active RFID for Tracking Applications
Wireless Personal Communications: An International Journal
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Intelligent transportation systems have become increasingly important for the public transportation in Shanghai. In response, ShanghaiGrid (SG) project 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, Hierarchical Exponential Region Organization (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. A small-scale prototype system implementation and extensive simulations based on the real road network and trace data of vehicle movements from Shanghai demonstrate the efficacy of HERO.