In developed countries like the USA, Germany, and the UK, the security forces used highly sophisticated equipment, fast vehicles, drones, and helicopters to catch offenders' vehicles. Whereas, in developing countries with limited resources such schemes cannot be utilized due to management cost and other constraints. In this paper, we proposed a framework called CVEH that enables developing countries to profile the offender vehicle movements through crowdsourcing technique and act as an early warning system to the law forcing agencies. It also engages citizens to play their role in improving security conditions. The proposed CVEH framework allows Vehicle-to-Infrastructure (V2I) communication to monitor the movement of the offender's vehicle and shared its information with the Command and Control (CC) centre. The CC centre projects the path and engages nearly located law enforcement agencies. CVEH is developed and evaluated on android smartphones. Simulations conducted for this study exhibit the effectiveness of our framework.
翻译:在诸如美国、德国和联合王国等发达国家,安全部队使用高尖端设备、快车、无人驾驶飞机和直升机来抓获罪犯的车辆;而在资源有限的发展中国家,由于管理成本和其他制约因素,无法利用这种计划;在本文件中,我们提议了一个称为CVEH的框架,使发展中国家能够通过众包技术来描述违规车辆的移动情况,并作为执法机构的预警系统;它还让公民参与改善安全状况;拟议的CVEH框架允许车辆对基础设施(V2I)的通信,以监测罪犯车辆的移动情况,并与指挥和控制中心分享其信息;CC中心预测了道路,并与近地点的执法机构进行了接触;CVEH是开发并评价了手机和机器人智能手机的;为这项研究进行的模拟展示了我们框架的有效性。