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考虑换道风险影响的城市快速路出口影响区车道管理 被引量:7

Lane Management in Off-Ramp Affected Zone of Urban Expressway Considering Lane-Change Risk
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摘要 为优化城市快速路出口影响区的交通组织,降低出匝车辆的换道风险,提高交通运行的安全性和高效性,依托上海自然驾驶实验数据,提取城市快速路出口影响区出匝车辆的轨迹数据样本,建立出口影响区换道风险评价方法及分级标准;针对三种常见的快速路出口,考虑人、车和路域环境方面的综合因素,利用二项Logistic模型构建换道风险模型,分析不同因素对换道风险的影响程度,以及一定条件下车辆存在换道风险的概率;在此基础上,根据出口影响区的车辆运行信息和换道风险模型,控制换道风险在合理范围内,得到出匝车辆的合理(最迟)换道位置,并提出相应的城市快速路出口影响区的车道管理方法。 This paper aims to optimize traffic organization in the off-ramp affected zone of urban expressway,reduce the lane-change risk of leaving vehicles and thus improve the safety and efficiency of traffic operation.Based on the dataset from Shanghai Naturalistic Driving Study(SH-NDS),the trajectory data samples of leaving vehicles in the off-ramp affected zone of expressway were extracted and lane-change risk evaluation method and classification standard were established.Targeting at three types of off-ramp areas of expressway,a lane-change risk model was established by using the binomial Logistic model,considering comprehensive factors in terms of drivers,vehicles,road and environment.Therefore,the influencing degree of different factors was revealed and lane-change risk probabilities were obtained.Based on vehicle operation information and lane-change risk model,reasonable(latest)lane-change positions of leaving vehicles were calculated and corresponding lane management methods were proposed when lane-change risk was within a certain range.
作者 张兰芳 钱殷慧 陆薇 杨旻皓 ZHANG Lanfang;QIAN Yinhui;LU Wei;YANG Minhao(Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;Analysis and Consulting Department,Gridsum Company,Shanghai 200040,China;Road and Bridge Design Institute,Shanghai Urban Construction Design and Research Institute,Shanghai 200125,China)
出处 《同济大学学报(自然科学版)》 EI CAS CSCD 北大核心 2020年第11期1579-1587,共9页 Journal of Tongji University:Natural Science
基金 国家自然科学基金(71671126)。
关键词 城市快速路 出口影响区 自然驾驶 换道风险模型 车道管理 urban expressway off-ramp affected zone naturalistic driving lane-change risk model lane management
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