Improved Model of Start-Wave Velocity at Intersections Based on Unmanned Aerial Vehicle Data

作     者：王宏伟 程珂 路庆昌 彭仲仁 

作者机构：State Key Laboratory of Ocean EngineeringCenter for UAV Applications and ITS ResearchShanghai Jiao Tong University School of Transportation EngineeringTongji University Department of Urban and Regional PlanningUniversity of Florida 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2016年第33卷第1期

页      面：13-19页

学科分类：12[管理学] 02[经济学] 0202[经济学-应用经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020205[经济学-产业经济学] 

基　　金：National High Technology Research and Development Program of China(No.2009AA11Z220) 

主　　题：unmanned aerial vehicle(UAV) traffic wave theory queue length dissipation time start-wave velocity 

摘      要：The basic parameters involved in current start-wave theoretical models such as density and velocity are difficult to obtain through traditional traffic detection devices. Thus it is hard to apply these theoretical models to the actual verification and prediction for real situation. Unmanned aerial vehicle( UAV),which can shoot aerial video and identify vehicles, roads and other objects, is introduced in this study as a new type of traffic information collection method to gather the real-time data of the necessary parameters. An improved start-wave velocity model is proposed,where the speed and density of traffic flow are converted into vehicle space headway,mean vehicle length and other auxiliary parameters which can be recognized from aerial video or other means. A UAV was used for video shooting at intersections in a flight experiment in order to verify the accuracy of the calculated start-wave *** mean absolute error rate between the calculated velocity and the actual velocity is 2. 277%. Moreover, the improved start-wave velocity model showed much better accuracy than the traditional start-wave velocity model. The results indicate that the improved model is accurate enough to be used for model calibration and validation in signal timing optimization.