车路协同下基于行车指引的改进STCA双车道换道模型

Improved STCA lane changing model for two-lane road based on driving guidance under CVIS

为提供一种车路协同交通环境可采用的换道规则,提出了一种基于行车指引的改进STCA双车道换道模型STCA-M.首先,对车路协同交通环境中的车辆间关系进行分析,根据位置、速度、加速度等需交互的基本信息构造了威胁评价函数;其次,根据动态安全距离和路段实时拥堵状态建立双车道车辆行车指引函数,提供诱导车速和换道指引.最后,在数值分析中,分别与STCA、STCA-I、STCA-S模型以及混合双车道交通流模型在不同车辆密度下的平均速度、平均流量、换道频率以及时空斑图进行对比.结果表明,STCA-M模型的换道频率较STCA-S模型提高了约6.91%,最大平均流量较STCA-I和STCA-S模型分别提高了约21.21%和7.28%.车路协同下的协同换道模型STCA-M能够有效调节双车道路段微观交通对象的运动趋势,提高车辆换道和道路使用效率.

To provide an applicable lane change rule for cooperative vehicle infrastructure system(CVIS)environment,an improved symmetric two-lane cellular automata(STCA)lane changing model STCA-M for two-lane road based on driving guidance was proposed.First,the relationship between vehicles in the CVIS environment was analyzed,and the threat evaluation function was constructed according to the basic information of possible interaction,such as position,speed and acceleration.Secondly,according to the dynamic safety distance and the real-time congestion state of the road section,a two-lane vehicle driving guidance function was established to provide a speed guidance and a lane change guidance.Finally,in the numerical analysis,the average velocity,the average flow rate,the lane change frequency,and the spatial and temporal speckle patterns of STCA,STCA-I,STCA-S,and hybrid two-lane traffic flow models under different vehicle densities were compared.The results show that the channel change frequency of STCA-M model is about 6.91%higher than that of STCA-S model,and the maximum average flow rate is about 21.21%and 7.28%higher than that of STCA-I and STCA-S models,respectively.STCA-M under CVIS can effectively adjust the movement trend of micro-traffic objects in two-lane road section and improve the efficiency of the vehicle lane change and the road use.