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| 高速公路事故类型预测模型研究 | |
| 引用本文： | 钟连德,孙小端,贺玉龙,侯德藻.高速公路事故类型预测模型研究[J].武汉理工大学学报(交通科学与工程版),2009,33(4):683-686. |
| 作者姓名： | 钟连德 孙小端 贺玉龙 侯德藻 |
| 作者单位： | 1. 北京工业大学交通工程北京市重点实验室,北京,100124;交通部公路科学研究院公路交通安全技术交通行业重点实验室,北京,100088 2. 北京工业大学交通工程北京市重点实验室,北京,100124 3. 交通部公路科学研究院公路交通安全技术交通行业重点实验室,北京,100088 |
| 摘 要： | 介绍了事故类型预测模型的作用和原理.利用收集到的高速公路数据,建立了基于多分变量逻辑回归的高速公路事故类型预测模型,分析结论表明对事故类型影响较大的变量有城市-乡村变量、大小车速度差和大车比例变量,并对事故类型预测模型研究的重点进行了展望. |
| 关 键 词： | 高速公路 事故类型预测模型 多分变量逻辑回归 |
Study on Crash Severity Prediction Model of Freeway |
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| Zhong Liande,Sun Xiaoduan,He Yulong,Hou Dezhao.Study on Crash Severity Prediction Model of Freeway[J].journal of wuhan university of technology(transportation science&engineering),2009,33(4):683-686. | |
| Authors: | Zhong Liande Sun Xiaoduan He Yulong Hou Dezhao |
| Institution: | Key Lab of Traffic Engineering;Beijing University of Technology;Beijing 100124;Research Institute of Highway;Ministry of Communications;Beijing 100088 |
| Abstract: | This study introduced the use and principle of Crash Severity Prediction Model(CSPM).Base on the collected data of freeway CSPM was established with Multinomial Logistic Regression method,and the result indicated that city_rural variable,the speed difference between cars and large vehicles and truck percent age have large influence on the crash severity.Finally the direction and focus of CSPM study of future were explored. |
| Keywords: | freeway crash severity prediction model multinomial logistic regression |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |