车联网环境下高速公路分流区车流建模及分析OA
Modeling and analysis of traffic flow safety in highway diverging zones within connected and autonomous environment
[背景]分流区是高速公路重要组成部分之一,易成为路网交通瓶颈,影响整体网络的安全性与通行能力.[目标]为研究考虑驾驶员异质性及驾驶意图下高速公路分流区交通流的安全特性,面向车联网环境,构建高速公路分流区异质交通流模型.[方法]首先,分析高速公路分流区异质交通流特性以对不同类型车辆行为进行建模,并考虑驾驶员异质性以对不同类型车辆行为进行标定;其次,基于驾驶员异质性及其不同驾驶意图,探究高速公路分流区异质交通流交通组成,构建异质交通流模型;最后,以碰撞暴露时间、碰撞接触时间、改进碰撞暴露时间为评价指标,设计仿真试验分析智能网联车辆(Intelligent Connected Vehicle,ICV)渗透率、人工驾驶车辆类别及分流比对高速公路分流区安全性的影响.[结论]在高速公路分流区内,高ICV渗透率可显著提升该区域异质交通流安全性,但在高峰时段的提升效果有限;交通流速度较高时,较高的激进型驾驶员比例一定程度上可提升该区域异质交通流安全性;低分流比对该区域异质交通流安全性提升亦具有积极作用.[应用]为车联网环境下高速公路交通安全研究分析提供了理论支撑,并为交通管理部门对高速公路分流区的管理提供科学依据.
[Background]Diverging zones are critical components of highway systems and act as traffic bottlenecks that significantly affect the overall safety and capacity of highway networks.[Ob-jective]To examine the safety characteristics of traffic flows in diverging highway zones,a heteroge-neous traffic flow model was developed that incorporates driver heterogeneity and driving intentions within a connected and autonomous environment.[Method]First,the characteristics of heteroge-neous traffic flow in diverging zones of highways were analyzed to model the behaviors of various vehicle types.Driver heterogeneity was factored in to accurately calibrate these behavioral models.Next,the composition of the heterogeneous traffic flow was examined,accounting for variations in driver behavior and intentions,to construct a comprehensive heterogeneous traffic flow model.Final-ly,simulation experiments were conducted using the time exposed to collision,time-integrated time to collision,and time-exposed modified time to collision as evaluation metrics.These experiments analyzed the impact of intelligent connected vehicle(ICV)penetration rates,driver heterogeneity,and diverging ratios on the heterogeneous traffic safety of the diverging zone of highways.[Conclu-sion]The results indicate that a high penetration rate of ICVs in highway diverging zones significant-ly improves heterogeneous traffic safety,although the extent of this improvement is limited during periods of heavy traffic.A greater proportion of aggressive human-driven vehicles may,to some ex-tent,contribute to improved heterogeneous traffic safety within the diverging zone at higher vehicle speeds.Additionally,a lower diverging ratio positively influences the heterogeneous traffic safety en-hancement in these areas.[Application]This study provides theoretical support for the research and analysis of highway traffic safety in connected and autonomous environments and offers a scientific basis for the management of highway diverging zones by traffic management departments.
张健;张志顺;徐婷;赖心荷;季航旭
西安培华学院,智能科学与工程学院,西安 710125||西安建筑科技大学,机电工程学院,西安 710055长安大学,运输工程学院,西安 710064||加州大学戴维斯分校,土木与环境工程系,戴维斯 95616长安大学,运输工程学院,西安 710064长安大学,运输工程学院,西安 710064长安大学,运输工程学院,西安 710064
交通工程
智能交通交通安全异质交通流高速公路分流区智能网联车辆
intelligent transportationtraffic safetyheterogeneous traffic flowdiverging zone of highwayintelligent connected vehicle
《交通运输工程与信息学报》 2026 (3)
16-25,10
国家自然科学基金项目(52002033)陕西省自然科学基础研究计划面上项目(2025JC-YBMS-538)中央高校基本科研业务费专项资金项目(300102343205)
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