基于大数据的道路交通事故黑点防治新策  

A New Theory on Black Spot Prevention and Treatment of Road Traffic Accidents Based on Big Data Technology

作　　者：王英吉 何树林 WANG Ying-ji;HE Shu-lin(Police Order Administration Department,Liaoning Police College,Dalian,Liaoning 116036,China)

机构地区：[1]辽宁警察学院治安管理系,辽宁大连116036

出　　处：《黑龙江交通科技》2021年第5期185-188,共4页Communications Science and Technology Heilongjiang

基　　金：2019年辽宁警察学院大学生创新创业训练计划校级项目“基于现代科技的城市道路交通事故预防对策创新研究”(201911432123)。

摘　　要：大数据为发展智能道路交通提供了新的机会,同时也有助于制定创新的道路安全管理概念和办法。基于大数据分析方法对道路交通事故黑点进行排查分析并提出有效的治理措施,这将大大减少道路交通事故的可能性,并防止生命和财产的重大损失。当前,对道路交通事故黑点的装置、查明道路交通事故的方法和安全隐患进行探索,进而提出加强大数据基础平台的建设、建模分析预测黑点发生、加快数据资源开放共享等基于大数据技术对道路交通事故黑点防治的新对策,从根本上降低道路交通事故黑点发生的概率、最大程度的避免道路交通事故的发生。Big data technology brings new opportunities for the development of road intelligent transportation,and also promotes the development of innovative management ideas and modes of road traffic management.Therefore,the application of big data analysis method to investigate and analyze road traffic accident black spots and propose effective governance measures can fundamentally reduce the probability of road traffic accidents and avoid causing heavy casualties and property losses.At present,research on the formation mechanism of road traffic accident black spots,identification method,potential safety hazard,and based on big data technology control measures of traffic accident black spots,can reduce the incidence of the road traffic accident black spots,the maximum to avoid the occurrence of traffic accidents,can radically reduce the accident probability and improve the traffic environment,this is also the key research topics in the field of road traffic accident prevention.

关 键 词：大数据 事故黑点 防治新策 

分 类 号：U492[交通运输工程—交通运输规划与管理]