刘科荣

       本文的目的是研究现阶段信号交叉口非机动车的交通特性。当电动车、燃气（油）助动车加入到非机动车行列后，非机动车的组成发生了变化，以往的非机动车研究成果都是基于自行车交通的，因此对现阶段非机动车的交通特性进行研究是必要的。本文基于数理统计知识对大量调查数据进行了深入的分析，初步研究了当前非机动车的交通特性。

       非机动车速度特性研究，重点分析了不同类型非机动车在路段、交叉口内部、出口道处的速度分布情况。对于路段速度的研究，重点分析了混入不同比例助动车后非机动车总体速度的分布情况。对于交叉口内部速度的研究，重点分析了不同类型非机动车的位置选择行为，在此基础上对速度和横向位置关系进行了研究，建立了相关模型。对于出口道处速度的研究，重点分析了速度和密度的关系。非机动车到达—消散特性研究重点分析了非机动车的到达数分布情况，用于和以往研究进行比较；消散特性研究重点研究了消散时间和排队长度、排队车辆数和车队密度的关系，建立了相关模型。

       非机动车特性研究的应用，本文主要研究了信号交叉口出口道处的通行能力和最短绿灯时间的计算。

关键词：非机动车，助动车，速度—梯度模型，消散时间

    This purpose of this paper is to study the characteristics of non-motor vehicles on signal intersection. When the electric bicycle and the moped joined in the non-motor vehicles, composition of non-motor vehicle has had the changed. The former achievements of non-motor research are based on the bicycle traffic, so, it is necessary to research the transportation characteristic of modern non-motor vehicles. This paper analysis more data from investigation with mathematical statistic knowledge, and gain some preliminary conclusion about non-motor vehicle's characteristic.

    When researching non-motor vehicle’s velocity statistical characteristics, this paper mainly analyses the velocity distributions of different type non-motor vehicles on the road, intersection interior and exit road. To the road speed's research, it is mainly analysis the distribution of non-motor vehicle’s speed in the different proportion of moped. To the research of speed in intersection interior, it is mainly analysis the choice behavior of different type non-motor vehicles, then, construct a model about speed and the lateral location. To the research of speed at exit place, it is mainly analysis the relation of speed and density.

    When researching non-motor vehicle’s arriving-leaving characteristics, this paper mainly analysis the statistical distributions of flow which is used to compare with the achievements of former. When researching non-motor vehicle’s leaving characteristic in intersection, this paper mainly analysis the relationships among leaving time, length of queue, the vehicle number of queuing and density of queuing. Main time, the model is established.

    As to the use of non-motor vehicle characteristic research, this paper mainly conducts the capacity and the minimum green time calculation of non-motor vehicle intersection.

Key Words: non-motor vehicle, moped, speed-gradient model, leaving time.