交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (1): 34-40.

• 智能交通系统与信息技术 • 上一篇    下一篇

无人机逆向车辆检测数据时效性分析

杜荣义*1, 彭仲仁2   

  1. 1. 南宁市公安局交通科学工程研究所,南宁 530022; 2. 同济大学 交通运输与工程学院,上海 201804
  • 收稿日期:2013-05-17 修回日期:2013-08-27 出版日期:2014-02-25 发布日期:2014-07-07
  • 作者简介:杜荣义(1984 -),男,江西萍乡人,博士.
  • 基金资助:

    国家“863计划”项目(2009AA11Z220).

Time Effectiveness Analysis of UAV Vehicle Detection Data in Reverse Direction

DU Rong-yi1, PENG Zhong-ren2   

  1. 1. Transportation Science Engineering Institute, Nanning Municipal Public Security Bureau, Nanning 530022, China; 2.School of Transportation Engineering, Tongji University, Shanghai 201804, China
  • Received:2013-05-17 Revised:2013-08-27 Online:2014-02-25 Published:2014-07-07

摘要:

空中交通检测数据的时效性分析是基于空中检测技术的道路交通参数估算的基础,同时也可为地空交通检测数据的时空配准提供理论基础.本文在对无人机视频检测技术及其检测特性进行分析的基础上,考虑到车辆检测数据的时空分布特性,提出了两个时效性评价指标——绝对有效时间和相对有效时间,采用理论推导的方法,研究了无人机飞行参数设置(速度、高度)及道路交通条件(道路长度、车速)等对逆向车辆检测数据时效性的影响.利用I-80全息车辆轨迹数据,采用Matlab编程,对研究结论进行了验证.研究表明,本文提出的两个时效性评价指标可以很好地应用于描述或解释无人机的车辆检测能力,即车辆检测数和车辆检测率.

关键词: 智能交通, 无人机, 移动视频交通检测, 交通信息采集, 时效性

Abstract:

Time effectiveness analysis of aerial detection data is helpful for road traffic parameter estimation, and provides theoretical basis for space/time registration oriented traffic data fusion of air-ground traffic detections. This paper introduces unmanned aerial vehicles (UAV) video detection technology, and analyzes its detection characteristics. Considering temporal and spatial distribution characteristics of vehicle detection data, two evaluation indices, absolute effective time and relative effective time are proposed and discussed. We further investigates and examines the impact of UAV flying parameter settings (e.g. detection distance and speed), road length, vehicle speed on time effectiveness of UAV vehicle detection data in reverse direction by means of theoretical derivation method. Meanwhile, the analytical results are validated based on the holographic vehicle trajectory data of I-80 by Matlab programming. It is found that the proposed two evaluation indices can be effectively and competently used to examine and identify the UAV detection capability of the vehicles in reverse direction in terms of vehicle number and vehicle detection rate.

Key words: intelligent transportation, unmanned aerial vehicles, mobile video traffic detection, traffic information collection, time effectiveness

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