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双车道公路接入口安全影响分析
引用本文:唐琤琤,张铁军,吴玲涛. 双车道公路接入口安全影响分析[J]. 公路交通科技, 2007, 24(6): 122-125,143
作者姓名:唐琤琤  张铁军  吴玲涛
作者单位:1. 同济大学,道路与交通工程教育部重点实验室,上海,200092;交通部公路科学研究院,北京,100088
2. 交通部公路科学研究院,北京,100088
基金项目:交通部西部交通建设科技资助项目(200431822333-1)
摘    要:
在对大量的双车道公路进行了调研和采集了海量的公路、交通、事故数据基础上,针对接入口对双车道公路交通安全的影响进行了量化分析。采取的分析方法包括接入口单因素对安全影响分析、考虑交通量和路段长度因素接入口对安全影响分析、接入口和其他因素综合对安全影响分析等。分析结果表明,接入口对双车道公路的总事故率尤其是追尾事故率有重要的影响,并得出了双车道公路接入口对交通安全影响的量化结论。全部事故、一般以上事故、路侧事故、追尾事故和碰撞事故等的次数都随接入口密度增加而增加;在山区双车道公路上,在其他要素不变的情况下接入口密度每增加一个单位,全部事故增加4.36%,追尾事故增加11.9%。

关 键 词:交通工程  双车道公路  影响量化分析  接入口  追尾事故  事故率  事故预测模型  事故折减因子
文章编号:1002-0268(2007)06-0122-04
修稿时间:2007-03-01

The Safety Analysis of Accesses in Two-lane Highways
TANG Cheng-cheng,ZHANG Tie-jun,WU Ling-tao. The Safety Analysis of Accesses in Two-lane Highways[J]. Journal of Highway and Transportation Research and Development, 2007, 24(6): 122-125,143
Authors:TANG Cheng-cheng  ZHANG Tie-jun  WU Ling-tao
Affiliation:1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 2. Research Institute of Highway, Ministry of Communications, Beijing 100088, China
Abstract:
On the basis of substantive investigation and data collection which includes the data of the highway and traffic and accident,the quantitative influence of the accesses on the safety of two-lane highways is analyzed.The analyzing methods such as single factor and multi-factors are used.It is found that the accesses have important influence on the total accident rate and rear-end collision accident rate,especially on the later.The quantitative results are accomplished as well.The number of total accident,light accident and above,roadside accident,rear accident,and collision accident are all increased with the access density increased.On two-lane montanic highways,the number of total accident increased 4.36% and the number of rear end collision accident increased 11.9% when the access density increased per unit.
Keywords:traffic engineering  two-lane highway  quantitative influence  access  rear accident  accident rate  accident prediction model  accident decrease factor
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