面向交通事故检测及预防的异质传感器布设方法

Deployment of heterogeneous sensors for traffic accident detection and prevention

目前,道路交通事故检测及预防中缺乏异质传感器布设的相关技术标准和理论指导,为此本文提出了一种面向事故检测及预防的异质传感器布设方法。考虑到交通事故的不确定性,该方法利用历史交通事故数据,获取道路事故风险的稳定空间分布,从而将传感器布设问题转化为道路事故风险的最优覆盖问题。以覆盖质量最大为目标,以布设成本、事故检测误差等为约束,构建异质传感器布设的组合优化模型。通过国际公开事故数据与道路场景验证本文方法的有效性,结果显示不同成本约束下传感器布设方案均能够与道路事故风险有效匹配,且均能达到事故的预期覆盖效果。因此,本文方法能够满足事故不确定性下的传感器布设需求,实现异质传感器优化布设。

At present,there is a lack of technical standards and theoretical methods in heterogeneous sensors deployment for road traffic accident detection and prevention.Therefore,this paper presented a deployment method of heterogeneous sensors for accident detection and prevention.Considering the uncertainty of traffic accidents,historical traffic accident data was used to obtain the stable spatial distribution of road accident risk.Then sensors deployment problem was converted into the optimal coverage problem on road traffic accidents risk.The optimal deployment model of heterogeneous sensors was established to maximize the coverage quality with the constraint of sensors deployment cost,accidents detection error,and so on.International open accidents data and road scenarios were used to validate the proposed method.The results show that the sensors layout scheme can effectively match with road accidents risk and achieve the expected coverage performance under different cost.Therefore,the proposed method can meet the requirements of sensors deployment under accidents uncertainty,and realize the optimal layout of heterogeneous sensors.