title: A lane-level LBS system for vehicle network with high-precision BDS/GPS positioning.
abstract: In recent years, research on vehicle network location service has begun to focus on its intelligence and precision. The accuracy of space-time information has become a core factor for vehicle network systems in a mobile environment. However, difficulties persist in vehicle satellite positioning since deficiencies in the provision of high-quality space-time references greatly limit the development and application of vehicle networks. In this paper, we propose a high-precision-based vehicle network location service to solve this problem. The major components of this study include the following: (1) application of wide-area precise positioning technology to the vehicle network system. An adaptive correction message broadcast protocol is designed to satisfy the requirements for large-scale target precise positioning in the mobile Internet environment; (2) development of a concurrence service system with a flexible virtual expansion architecture to guarantee reliable data interaction between vehicles and the background; (3) verification of the positioning precision and service quality in the urban environment. Based on this high-precision positioning service platform, a lane-level location service is designed to solve a typical traffic safety problem.
authors.affiliation: Global Navigation Satellite System Research Center, Wuhan University, Wuhan, China.
authors.forename: Chi
authors.initials: C
authors.lastname: Guo
authors.affiliation: Global Navigation Satellite System Research Center, Wuhan University, Wuhan, China.
authors.forename: Wenfei
authors.initials: W
authors.lastname: Guo
authors.affiliation: Computer School, Wuhan University, Wuhan, China.
authors.forename: Guangyi
authors.initials: G
authors.lastname: Cao
authors.affiliation: Global Navigation Satellite System Research Center, Wuhan University, Wuhan, China.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Dong
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001334:Automobile Driving; D020811:Biomedical Technology / Q000379:methods; D003195:Computer Communication Networks; D003695:Delivery of Health Care; D006751:Hospital Information Systems; D006801:Humans; D018670:Monitoring, Ambulatory