AR421466-RSETE【荐】.pdfVIP

Research on Identification Method for Road Accident Black Spots with Ordinal Clustering Method haifeng Jiang changcheng Li Research Institute of Highway Ministry of Communications, Research Institute of Highway Ministry of Communications, Beijing 100088; Beijing 100088; liande Zhong han Feng Research Institute of Highway Ministry of Communications, Research Institute of Highway Ministry of Communications, Beijing 100088; Beijing 100088; Abstract—This paper analyzed the causes of road traffic accident 故黑点鉴别模块，并分别在国道和省道两种不同类型公路进 black spots and proposed an accident black spots Identification 行了应用分析。 method based on ordinal clustering algorithm. through divided 交通事故黑点形成因素除涉及到车辆状况、交通参与者 the length of road with the incident frequency, the number 的行为特征等因素外, 还涉及到道路条件、交通运行状况、 wounding and deaths and the number of accidents in the spatial 交通安全设施、服务养护设施以及道路的管理与监控、安全 distribution for every kilometer, then the average accident indicators (accident frequency, wounding the number of accidents, 环境等诸多影响因素。如：路面平整度、路面抗滑能力、几 deaths the number of accidents, etc.) of per kilometer of the road 何线形、视距、平曲线半径、坡度、线形组合、交叉口间距、 are statistic and sorted by this method, if the pre-incident 车道宽度、路肩宽度、分隔带宽度和出入口匝道等。另外， indicators more than multiple of the identified index, the sections 交通标志、标线、防护设施、防眩设施及道路照明设施等交 of the road was identified as accident black spots. This paper has 通安全设施是保证车辆高速安全行驶的必要物质条件, 也 also developed an orderly clustering accident black spots