title: A novel multisensor traffic state assessment system based on incomplete data.
abstract: A novel multisensor system with incomplete data is presented for traffic state assessment. The system comprises probe vehicle detection sensors, fixed detection sensors, and traffic state assessment algorithm. First of all, the validity checking of the traffic flow data is taken as preprocessing of this method. And then a new method based on the history data information is proposed to fuse and recover the incomplete data. According to the characteristics of space complementary of data based on the probe vehicle detector and fixed detector, a fusion model of space matching is presented to estimate the mean travel speed of the road. Finally, the traffic flow data include flow, speed and, occupancy rate, which are detected between Beijing Deshengmen bridge and Drum Tower bridge, are fused to assess the traffic state of the road by using the fusion decision model of rough sets and cloud. The accuracy of experiment result can reach more than 98%, and the result is in accordance with the actual road traffic state. This system is effective to assess traffic state, and it is suitable for the urban intelligent transportation system.
authors.affiliation: Department of Instrument Science and Technology, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
authors.forename: Yiliang
authors.initials: Y
authors.lastname: Zeng
authors.affiliation: Department of Instrument Science and Technology, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
authors.forename: Jinhui
authors.initials: J
authors.lastname: Lan
authors.affiliation: Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
authors.forename: Bin
authors.initials: B
authors.lastname: Ran
authors.affiliation: Department of Instrument Science and Technology, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
authors.forename: Yaoliang
authors.initials: Y
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001334:Automobile Driving; D003658:Decision Making, Computer-Assisted; D004779:Environment Design; D008962:Models, Theoretical; D018986:Motor Vehicles