基于BP神经网络的城市道路交通安全评价研究  

Research on the Evaluation of City Road Traffic Safety Based on BP Artificial Network

作　　者：杨天军[1] 张晓春[2] 杨晓光[1] 潘汉中 

机构地区：[1]同济大学交通运输工程学院,上海200092 [2]东南大学交通学院,江苏南京210096 [3]公安部交通管理科学研究所,江苏无锡214151

出　　处：《中国矿业大学学报》2005年第1期37-40,共4页Journal of China University of Mining & Technology

基　　金：国家自然科学基金项目(70122201);公安部交通管理科学研究所项目(04220)

摘　　要：在综合分析国内外交通安全评价研究的基础上,针对我国城市道路交通安全的现状及存在问题,提出了采用基础数据、交通安全管理、公众安全评价3个方面共13项指标组成的面向城市交通安全可持续发展的评价指标集,构建了基于BP神经网络的评价模型,并结合算例详细分析了其计算方法.该方法对于提高交通管理部门的管理和决策水平具有指导作用.Based on synthetically analyzing research data at home and abroad on the traffic safety evaluation, Aiming at the status and problems of the city traffic safety management of China, an evaluation indexes system is advanced for the city traffic safety continuable developing, which consists of 13 values coming from following three parts, including basic data, traffic safety management value and value of public safety assessment. In addition, an evaluation model based on the BP artificial network is designed. Combining with evaluation example, the calculation method realized by software is analyzed in detail. The results show that the evaluation method is useful and significant to improve the management and decision-making of the traffic management department.

关 键 词：可持续发展 国内外 评价模型 评价指标 基础数据 中国 存在问题 城市道路交通 交通安全管理 城市交通 

分 类 号：TD7[矿业工程—矿井通风与安全] U491[交通运输工程—交通运输规划与管理]