Real-time intersection vehicle turning movement counts from live UAV video stream using multiple object tracking  

作　　者：Yuhao Wang Ivan Wang-Hei Ho Yuhong Wang 

机构地区：[1]Department of Electrical and Electronic Engineering,The Hong Kong Polytechnic University,Hong Kong SAR,China [2]Otto Poon Charitable Foundation Smart Cities Research Institute,The Hong Kong Polytechnic University,Hong Kong SAR,China [3]Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong SAR,China

出　　处：《Journal of Intelligent and Connected Vehicles》2023年第3期149-160,共12页智能网联汽车（英文）

基　　金：supported in part by the Research Impact Fund(No.R5007-18)established under the University Grant Committee(UGC)of the Hong Kong Special Administrative Region(HKSAR),China;supported in part by the Otto Poon Charitable Foundation Smart Cities Research Institute(Q-CDAS).

摘　　要：The intelligent transportation system(ITS)is committed to ensuring safe and effective next-generation traffic throughout a city.However,such efficient operation on urban traffic networks needs the support of big traffic data,especially Turning Movement Counts(TMC)at intersections.Generally,TMC data are more challenging to collect due to labor cost and accuracy problems.In this paper,we leverage the capabilities of Unmanned Aerial Vehicles(UAV)to collect real-time TMC data in a cost-efficient way.We proposed a real-time TMC data collection framework based on a live video stream.The vehicle tracking capability is boosted by multiple object tracking based on tracking by detection.In addition,a challenging case study was conducted,and our results demonstrate the feasibility and robustness of the proposed TMC data collection framework.Specifically,with a GTX 1650 graphics card,about 10 FPS can be achieved in real-time for the TMC data collection.The overall accuracy is 91.93%,and the best case is over 98%accurate.In the context of miscounting,the major reason is due to ID switching caused by background occlusion.The proposed framework is expected to provide real-time data for traffic capacity analysis and advanced traffic simulation such as digital twins.

关 键 词：turning movement counts unmanned aerial vehicles multi objects tracking REAL-TIME 

分 类 号：U49[交通运输工程—交通运输规划与管理]