ABSTRACT
To address the growing problems of traffic, resulting in the transport infrastructure, transport vehicles and transport systems to consider together the participants make full use of high-tech solution to the traffic Intelligent Transportation System.This study is important in intelligent transport system main components based on D--S evidence theory of urban traffic flow information fusion method.
Urban Transport in the existing traffic flow detection rich, but the interaction between the various systems is poor, access to the traffic flow over a single parameter; and, since the detection principle and the different testing equipment performance, resulting in eventhe same set of traffic flow parameters using different methods for detection will also get different results; Third, the lack of effective means of technical analysis of these data, deep excavation, leading to many important and valuable information is buried is ignored.To solve the above problem, this paper proposes multi-source traffic flow parameters based on the evidence synthesis, a variety of current mainstream traffic analysis of data collected by sensors, fusion.
Urban traffic flow information fusion based on fuzzy rough set theory and application of evidence: for a variety of detection methods (induction coil, video detection, the first part of the dynamic OD analysis and floating car method, etc.) collected multiple sources of traffic flowdata, their use of evidence theory for fusion, the fusion process in the presence of the test parameters missing, data redundancy, respectively, using Greenshields improved traffic flow theory and rough set attribute reduction rules processing; in the process of the fuzzy similarHowever, access to basic probability function measurement method, and propose an improved formula for digestion and synthesis of evidence contradictory evidence in the conflict.
Key Words: Information Fusion Analysis of Dynamic OD Evidence theory Multi-source traffic flow data
