Title :
A fusion-based system for road-network traffic state surveillance: a case study of Shanghai
Author :
Kong, Qing-Jie ; Chen, Yikai ; Liu, Yuncai
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai
Abstract :
In this paper, we will introduce a fusion-based system composed of real-time traffic state surveillance. This system can realize the real-time traffic state estimation with over 10,000 bidirectional road sections, all the links of the Shanghai urban road network. The system consists of three modules: SCATS data processing (MS), GPS data processing (MG), and Fusion Module (FM). In MS, traffic information collected by SCATS is converted into a kind of link-based spatio-temporal mean-speeds. Similarly, the taxis´information is also calculated for the spatio-temporal mean-speeds by means of a GIS-T map in MG. The spatio- temporal mean-speed here is defined by the mean-speed of all the vehicles running on a link during a period of time. Finally, the mean-speeds from these two sources are fused using an improved evidential fusion model.
Keywords :
Global Positioning System; geographic information systems; road traffic; sensor fusion; spatiotemporal phenomena; surveillance; traffic engineering computing; GPS data processing; SCATS data processing; Shanghai; Sydney coordinated adaptive traffic system; evidential fusion model; fusion-based system; real-time traffic state estimation; road-network traffic state surveillance; spatio-temporal mean speed GIS-T map; traffic information; urban advanced traveler information system; Adaptive systems; Data processing; Detectors; Global Positioning System; Real time systems; Roads; State estimation; Telecommunication traffic; Traffic control; Vehicle detection;
Journal_Title :
Intelligent Transportation Systems Magazine, IEEE
DOI :
10.1109/MITS.2009.932719
