面向稀疏道路的地空交通检测系统事件检测仿真与评价

Traffic Incident Detection Simulation and Assessment for Sparse Roads Using Ground-to-Air Traffic Detection System

摘要: 面向我国西部地区稀疏低流量道路，建立由视频、无人飞机组成的地空交通检测系统，进行道路事件检测，以提高交通安全。首先，设置道路、交通流、视频、无人飞机、交通事件等参数，采用数值模拟仿真的方式，建立地空交通检测系统事件检测仿真方法。然后，分单一无人飞机检测、单一视频检测、视频–无人飞机联合检测、无人飞机折返检测四种情形，评价交通事件的检测效果。最后，结合库尔勒–库车高速的交通事件检测案例，分析了稀疏道路条件下的无人飞机事件检测适用性。

Abstract: A ground-to-air traffic detection system composed of camera video and unmanned aerial vehicle (UAV) was established to detect traffic incident for the low-volume sparse roads in Western China, so as to improve the traffic safety. First, the parameters of road, traffic flow, camera video, UAV, and traffic incident were set, and numerical simulation was adopted to propose the traffic incident detection method based on the ground-to-air traffic detection system. Then, four scenarios were analyzed, i.e., UAV detection, camera video detection, UAV-camera video detection, and UAV shuttle detection. Finally, a case study was implemented based on the Korla-Kuqa highway, and the applicability of UAV-based incident detection for sparse roads was analyzed.