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基于间隙接受理论的无信号T型交叉口通行能力研究

发布时间:2018-05-31 19:48

  本文选题:交通工程 + 无信号交叉口 ; 参考:《西南交通大学》2017年硕士论文


【摘要】:基于间隙接受理论的无信号T型交叉口通行能力研究由四个部分组成:主路车头时距和速度特性研究、临界间隙分布估计、通行能力模型推导和无信号T型交叉口通行能力的VISSIM仿真。主路车头时距和速度特性是研究无信号T型交叉口通行能力的重要因素。通过实测重庆市铜梁区三支有代表性的无信号T型交叉口主路车速和车头时距数据,分析支路角度对主路车速、车速离散性的影响,总结出应尽量避免用支路角度非90°和车道过渡区段无信号T型交叉口对干路车辆进行大量分流,为提高城市路网和无信号T型交叉口通行能力提供建议。临界间隙的分布估计对研究无信号T型交叉口通行能力有重要意义。考虑主路车流车头时距对临界间隙的影响,在汽车安全行驶间距模型基础上,运用运动学原理分析安全间距条件、通过时间条件以及车头间距、车头时距与速度的关系,给出临界间隙的表达公式,提出了临界间隙服从考虑驾驶员反应时间的泊松分布。通行能力模型推导是在主路车头时距和临界间隙的分布估计基础上进行的。基于间隙接受理论,用考虑驾驶员反应时间的泊松分布的临界间隙,分别对主路车头时距服从移位负指数分布或M3分布,驾驶员行为一致但不相似或不一致且不相似的四种情况建立无信号T型交叉口支路通行能力模型。通过大量的实际数据标定参数,用阻抗系数计算整个交叉口的通行能力。将常用方法、理论方法计算结果和实测最大通行能力对比,理论方法与实测最大通行能力更接近。用VISSIM软件对三支无信号T型交叉口的通行能力进行仿真,并与常用方法、理论方法计算结果和实测最大通行能力对比,发现:三支交叉口的通行能力仿真结果大于实测最大通行能力。实测最大通行能力受驾驶员反应时间的影响,驾驶员反应时间受交叉口的几何特征和主路车流量影响,而仿真结果未考虑驾驶员反应时间。
[Abstract]:The research on the capacity of unsignalized T-junction based on gap acceptance theory is composed of four parts: the study of the time distance and velocity characteristics of the main road front, the estimation of critical gap distribution, Capacity model derivation and VISSIM simulation of traffic capacity at unsignaled T-type intersections. The characteristics of headway time and speed are important factors to study the capacity of unsignalized T intersection. Based on the measured data of the speed of the main road and the time distance of the front of the three representative unsignaled T-type intersections in Tongliang District of Chongqing, the influence of the angle of the branch road on the speed and the dispersion of the speed of the main road is analyzed. It is concluded that it is necessary to avoid a large number of diversions of trunk road vehicles at non-90 掳branch angle and unsignalized T-type intersections in lane transition section, and provide suggestions for improving the traffic capacity of urban road networks and unsignaled T-type intersections. The estimation of critical gap distribution is of great significance in studying the capacity of unsignalized T-type intersections. Considering the influence of the headway time distance on the critical clearance, the kinematics principle is used to analyze the safety distance condition on the basis of the safe driving distance model, and the relationship between the time condition, the front distance, the headspace and the speed is analyzed by using the kinematics principle. The expression formula of critical clearance is given, and the Poisson distribution considering the reaction time of driver is proposed. The model of capacity is derived on the basis of estimating the distribution of the time distance and critical clearance of the main road. Based on the gap acceptance theory, using the critical clearance of Poisson distribution considering the driver's reaction time, the shift negative exponent distribution or M3 distribution of the front distance of the main road vehicle are obtained, respectively. The traffic capacity model of unsignaled T-type intersections is established in four situations where the driver's behavior is consistent but dissimilar or inconsistent and dissimilar. Through a large number of actual data calibration parameters, the impedance coefficient is used to calculate the capacity of the intersection. By comparing the calculated results with the measured maximum capacity, the theoretical method is closer to the measured maximum capacity. The traffic capacity of three unsignaled T-type intersections is simulated by VISSIM software, and the results are compared with those of common methods, theoretical methods and measured maximum capacity. It is found that the simulation results of the capacity of the three-branch intersection are larger than the measured maximum capacity. The maximum measured capacity is affected by the driver's reaction time, and the driver's reaction time is affected by the geometry characteristics of the intersection and the traffic flow on the main road, but the simulation results do not take the driver's reaction time into account.
【学位授予单位】:西南交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U491.23

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本文编号:1961068


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