混有智能网联车的入口匝道模型及控制策略  

On-ramp modeling and control strategies for mixed connected and automated vehicles

作　　者：宋博[1] 钱勇生[1] 曾俊伟[1] 魏谞 SONG Bo;QIAN Yongsheng;ZENG Junwei;WEI Xu(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学交通运输学院,兰州730070

出　　处：《交通科技与经济》2025年第2期66-73,共8页Technology & Economy in Areas of Communications

基　　金：国家自然科学基金项目(72361017)。

摘　　要：为研究智能网联环境下的交通流特性,以高速公路入口匝道为仿真场景进行探索。首先,在传统Nasch模型基础上,引入智能网联车队概念,提出混有智能网联车队的跟驰模型,并验证模型的合理性和有效性;其次,结合改进的STCA换道模型,建立混有智能网联车队的入口匝道元胞自动机模型,并提出基于智能网联环境的流量平衡控制策略,以进一步改善匝道场景下的异质交通流;最后,分别对无控制策略和有控制策略下的匝道交通流进行仿真分析。结果表明:在匝道场景下提高智能网联车渗透率,可以有效提高道路通行能力和车辆速度,进而缓解交通拥堵;当车辆密度增加,主路车辆之间距离减小,匝道车辆的合流行为会受到阻碍;通过智能网联环境流量平衡控制策略,入口匝道处交通冲突减少,道路流量和车辆速度进一步提升,拥堵比例下降。To study the traffic flow characteristics under the intelligent connected environment,the freeway on-ramp is explored as a simulation scenario.Firstly,based on the traditional Nasch model,the concept of connected and automated platoons is introduced to propose a following model mixed with connected and automated platoons,and the reasonableness and validity of the model are verified;secondly,the on-ramp cellular automata model mixed with connected and automated platoons is established by combining with the improved STCA lane-changing model,and the flow balance control strategy based on the intelligent connected environment is proposed to further improve the heterogeneous traffic flow in on-ramp scenarios;finally,the on-ramp traffic flow without and with control strategies are simulated and analyzed,respectively.The results show that increasing the penetration rate of connected and automated vehicles in the ramp scenario can effectively improve the road capacity and vehicle speed,and then alleviate the traffic congestion;when the vehicle density increases and the distance between the vehicles on the main road decreases,the merging behavior of the ramp vehicles will be impeded;by the flow balancing control strategy of intelligent connected environments,the traffic conflict at the entrance ramp is reduced,the road capacity and vehicle speed are further improved and the proportion of congestion decreases.

关 键 词：智能交通 匝道控制策略 元胞自动机 智能网联车 异质交通流 MCD模型 

分 类 号：U491[交通运输工程—交通运输规划与管理]