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出 处:《交通信息与安全》2011年第4期33-39,共7页Journal of Transport Information and Safety
基 金:国家自然科学基金项目(批准号:50908155;70971094)资助
摘 要:根据拖挂车在弯道行驶的受力情况,推导出在车辆正常行驶和发生甩尾情况下车轮的行驶轨迹;并设计了状态感知向量及分量取值条件,以便驾驶员能对当前交通状况和外界环境的感知作出相应地加速、减速和转向等决策;在此基础上建立了基于元胞自动机的重型拖挂车弯道转弯模型。设计了一组特定环境下转弯路段的交通流仿真实验,仿真结果表明该模型能够对存在拖挂车较多的弯道设计参数进行检验和修正的有效性和可行性。According to the stressing of trailer turning, the driving tracks are derived under normal driving and side-slip condition. Furthermore, the vector of state awareness and value constraints of component are designed. Therefore, it is convenient for the driver to make corresponding decisions, such as acceleration, deceleration and turning. With these as a foundation, the turning model of heavy trailer is established based on cellular automation. Finally, traffic simulation experiments are designed under a set of certain turning circumstance. The simulation results show that the design parameters of curve where there are many trailers can be tested and corrected, and the effectiveness and feasibility of the turning model are verified.
分 类 号:U491.2[交通运输工程—交通运输规划与管理]
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