伴随车检测技术应用研究  

Research on Accompanying Cars Recognition in Practical Application

作　　者：赵新勇[1] 安实[1] 

机构地区：[1]哈尔滨工业大学交通科学与工程学院,哈尔滨150001

出　　处：《交通运输系统工程与信息》2012年第3期36-40,共5页Journal of Transportation Systems Engineering and Information Technology

基　　金：'十一五'国家科技支撑计划项目(2009BAG13A06)

摘　　要：海量动态交通流中,经常出现结伴而行的车辆.特定区域内,当结伴车辆出现的概率较大时,即可将其视为伴随车辆,这类车辆具有相互掩护和团伙作案的重大嫌疑.及早检测和识别伴随车辆,能有效降低道路交通安全系统中的危险因素,对预防和减少与道路有关的治安和刑事案件,也具有十分重要的意义.本文在车牌自动识别数据库基础上,应用数据挖掘技术,提出伴随车辆检测和识别算法,并进行了实地测试.实验结果表明:应用数据挖掘技术对伴随车辆进行分析检测,具有检测效率高、检测误差小、应用范围广的特点,完全可以满足刑侦等部门对伴随嫌疑车辆进一步排查的需要.In massive dynamic traffic flows, it is very common to see the cars moving in a queue. In some scenarios, these cars are regarded as accompanying cars and suspected of gang crime support each other when that condition occurs in a high rate. It is very important to identify the accompanying vehicles as early as possible and to reduce potential risks of road traffic system and to reduce road-related public security cases and criminal cases. Based on the automatic license plate recognition database and data mining technology, this paper proposes a set of algorithms in identifying accompanying cars and a field test is conducted. The results demonstrate the performance of the algorithm with effectiveness, low detection error, wide application and capability for further investigation.

关 键 词：交通工程 车辆识别 数据挖掘 伴随车辆 

分 类 号：U268.6[机械工程—车辆工程]