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Simulation of real-time vehicle speed violation detection using complex event processing

机译:使用复杂事件处理模拟实时车速违规检测

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Accidents have become one of the usual occurrences on roads throughout the world. Thousands of people lose their lives or become disabled every day. Speed limits are enforced to control the movement of vehicles along traffic lanes. As per the research statistics, violation of speed limits by the drivers is one of the significant reasons for the road accidents. Detecting the drivers who violate speed limits and giving them punishments may help to control the rate of speed violation occurrences. But tracking the speed violations solely with human resources is an impossible task since the breach can happen at any parts of a large traffic region. Therefore, the requirement for a real-time monitoring system is inevitable to comprehensively identify the violators. In this study, we propose two real-time monitoring solution approaches capable of alerting the infringing vehicles using complex event processing and vehicular ad-hoc networking techniques. Since evaluating our solutions directly on real traffic environments requires significant structural alternations, we have followed the simulation procedure to experiment our solutions. For this research, we have selected Colombo and Gampaha districts from Sri Lanka as our study regions and validated our solutions using SUMO traffic simulator.
机译:事故已成为全世界道路上的常见事故之一。每天都有成千上万人丧生或致残。实施了限速措施,以控制车辆沿行车道的行驶。根据研究统计,驾驶员违反速度限制是交通事故的重要原因之一。检测违反速度限制的驾驶员并给予惩罚,可能有助于控制速度违反事件的发生率。但是仅靠人力资源跟踪速度违规是一项不可能的任务,因为这种违规行为可能发生在大交通区域的任何地方。因此,不可避免地需要实时监视系统来全面识别违规者。在这项研究中,我们提出了两种实时监视解决方案,能够使用复杂的事件处理和车辆自组织网络技术来提醒侵权车辆。由于直接在实际交通环境中评估我们的解决方案需要重大的结构变更,因此我们遵循了仿真程序来实验我们的解决方案。在这项研究中,我们选择了斯里兰卡的科伦坡和甘帕哈地区作为研究区域,并使用SUMO交通模拟器验证了我们的解决方案。

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