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自动驾驶车辆混入下的货车专用车道设置条件评价方法 被引量:3

An Evaluation Method for Setting Condition of Dedicated Truck Lane Mixed with Automatic Vehicles
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摘要 针对自动驾驶车辆混入下公路货车专用车道设置方式的选取,建立了基于路网车均延误的专用车道设置条件评价方法,利用微观交通仿真软件VISSIM验证了方法的有效性,分析了多种专用车道设置方式对不同交通流条件的适应性。首先,综述了多因素影响的公路货车专用车道的设置方式,明确将专用车道使用对象作为重点分析要素。其次,建立了以交通量水平、货车占比和自动驾驶渗透率为自变量,以路网车均延误为因变量,体现不同车型间相互影响的专用车道设置条件评价模型。最后,以典型的单向四车道路段为例,构建了自动驾驶货车、人工驾驶货车、自动驾驶客车和人工驾驶客车组成的混合交通流,验证了评价模型的有效性,分析了各项变量对路网车均延误的影响趋势,比选得出了不同交通流条件下最优的专用车道设置方式。结果表明:通过与多元线性模型和对数回归模型进行对比分析发现,建立的评价模型对自动驾驶专用车道和无专用车道的车均延误的评价效果最优;在剔除严重失效条件下的数据后,建立的评价模型对货车专用车道的评价效果仍为最优,证明了评价方法的有效性。研究结果可为规范公路交通秩序、提高路网通行效率及混入自动驾驶车辆的公路交通组织与管理提供参考。 In view of setting method selection for dedicated highway truck lane mixed with automatic vehicles,an evaluation method for setting condition of dedicated lane based on average individual vehicle delay in the road network is proposed,the effectiveness of the evaluation method is verified by using the micro traffic simulation software VISSIM,and the adaptability of various dedicated lane setting methods to different traffic flow conditions is analyzed.First,the methods for setting dedicated highway truck lane under the influence of multiple factors are reviewed,and the users of dedicated lane are regarded definitely as the key element to be analyzed.Second,the dedicated lane setting condition evaluation model,which reflects influences among different vehicle types,is established with the independent variables of traffic volume level,truck percentage and automatic driving penetration rate,and with the dependent variables of average individual vehicle delay in the road network.Finally,taking a typical one-way four-lane road section for example,the mixed traffic flow consisting of automatic trucks,manual driving trucks,automatic passenger automobiles and manual driving passenger automobiles are constructed to verify the effectiveness of the evaluation model,the influence trend of each variable on average individual vehicle delay in the road network are analyzed,and the optimal dedicated lane setting method under different traffic flow conditions is selected out by comparison.The result shows that(1)by comparing with the multivariate linear model and logarithm regression model,it is found that the established evaluation model has the best evaluation effect on average individual vehicle delay in automatic dedicated lane and non-dedicated lane;(2)after excluding the data under severe failure conditions,the evaluation effect of the established evaluation model on truck dedicated lane is still the best,which proves the effectiveness of the evaluation method.The study result can provide reference for standardizing highway
作者 李茜瑶 牛树云 车晓琳 朱杰锐 LI Xi-yao;NIU Shu-yun;CHE Xiao-lin;ZHU Jie-rui(Research Institute of Highway,Ministry of Transport,Beijing 100088,China)
出处 《公路交通科技》 CSCD 北大核心 2023年第6期182-193,共12页 Journal of Highway and Transportation Research and Development
基金 国家自然科学基金项目(U21B2089) 山东高速集团有限公司创新研究中心2020年度科研项目(CYZX-JT-2020-08)。
关键词 智能交通 评价方法 交通仿真 专用车道设置 混合交通流 ITS evaluation method traffic simulation dedicated lane setting mixed traffic flow
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