摘要
面向车路协同环境,基于一维元胞自动机模型提出了一种带诱导车速单车道改进NS模型。分析了车路协同交通环境中可交互的基本车辆信息。根据前后车辆的位置、速度制约关系和邻近阻塞点位置等信息类别,以及在此信息交互条件下将对车辆运行产生的影响,在单向不发生换道的假设下,设计了不同车辆关系下的诱导车速模型,并基于诱导车速模型对NS模型进行了改进。根据实际道路条件,在不同车辆密度条件下,对所建模型进行了数值模拟。数值仿真结果表明:遵守诱导速度对车辆进行控制,能够在车辆密度小于0.4 pcu/km的路况中获得较好的平均速度和平均流量;但当车辆密度大于0.4 pcu/km时,由于同步相的增多,改进NS模型中平均车速和流量均不能优于当前微观交通流现状。不同遵守率仿真结果说明:在同等车流密度条件下,当遵守车速诱导的车辆比率下降,则诱导车速的有效性也发生下降。理论和数值结果均表明:在未来交通环境中的信息交互条件下,车辆的运动规律将发生改变。根据此改变所提改进NS模型能够较好地揭示车路协同条件下单车道环境中的微观交通现象,为未来智能交通提供理论基础。
An improved NS model with induce speed based on cooperative vehicle infrastructure system （CVIS） environment and 1D cellular automaton for single lane is proposed. The basic vehicle information which can be interacted in the environment of CVIS is analyzed. According to the information such as positions, speed control relationship of the front and rear vehicles and the location of adjacent blocking point, and the influence on the vehicle operation under this information interaction, assuming that one-way driving does not change lanes, the induce vehicle speed model under the relationship of different vehicles is designed, and the NS model is improved based on induce speed model. According to the actual road condition, the numerical simulation for the established model is conducted under different vehicle densities. The result of numerical simulation shows that （ 1 ） when controlling vehicles comply with the induce speed, the average velocity and the average traffic volume are better with vehicle density is less than 0.4 pcu/km ; （2） when vehicle density is more than 0.4 pcu/km, due to tile increase of synchronized phase, both the average velocity and the average traffic volume in the improved NS model are not superior to the current microtraffic flow situation, The simulation result using different compliance rates shows that under the same traffic density condition, the effectiveness of the induce vehicle speed decreases when the compliance vehicle ratio decreases. Theoretical and numerical results indicate that under the condition of information interaction in the future traffic environment, the movement rules of vehicles will change. The proposed improved NS model can reveal the microscopic traffic phenomena for single lane better under the condition of CVIS accordingly, and provides a theoretical basis for future intelligent transport.
出处
《公路交通科技》
CAS
CSCD
北大核心
2018年第2期101-108,共8页
Journal of Highway and Transportation Research and Development
关键词
交通工程
微观交通流模型
车路协同系统
元胞自动机模型
计算机仿真
traffic engineering
microscopic traffic flow model
cooperative vehicle infrastructure system （CVIS）
cellular automaton model
computer simulation
