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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:事故已成为全球道路上的通常发生之一。成千上万的人失去了生命或每天都变得残疾。强制实施速度限制以控制沿交通车道的车辆的运动。按照该研究的统计,违反车速限制由司机是为道路交通事故的显著原因之一。检测违反速度限制并给予他们惩罚的驱动因素可能有助于控制速度违规率。但是,仅跟踪人力资源的速度违规是一个不可能的任务,因为违规可能会发生在大型交通区的任何部分。因此,对实时监测系统的要求是不可避免的,以全面识别违规者。在本研究中,我们提出了两个能够使用复杂的事件处理和车辆ad-hoc网络技术提醒侵权车辆的实时监测解决方案方法。由于直接在实际交通环境中评估我们的解决方案需要显着的结构交替,因此我们遵循了模拟程序来实验我们的解决方案。对于这项研究,我们选择了Sri Lanka的Colombo和Gampaha区作为我们的研究区域,并使用Sumo流量模拟器验证了我们的解决方案。

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