The methods of multiple vehicle speed detection and data fusion of the road network: A case study from Taiwan

Real-time traffic information service is an important part of Intelligent Transport Systems (ITS), and the performance of service is a major concern for transportation planners and road users. For Users, getting sufficient and complete traffic information is helpful for them to arrange optimal road path before heading. This paper describes some traffic prediction technologies deployed in Taiwan, such as VD (Vehicle Detector), GVP (GPS-based Vehicle Probe) and CFVP (Cellular Floating Vehicle Probe). Each of the above technologies has different intended purposes. Through data fusion to analyze and regularize traffic information from various traffic prediction technologies, it makes the incomplete information converting into systematic and useful traffic information.