Abstract

A statistical model of traffic flows designed for modeling the motion of vehicles on long highways is proposed. The model simulates the motion of groups of vehicles on the road using the fundamental flow–density diagram on a selected segment of the road with the purpose of calculating the speed of the group; it is assumed that the group size linearly depends on its speed. The proposed approach combines the advantages of macroscopic and microscopic simulation. That is, it allows one to simulate the motion of vehicles in megalopolises to a high accuracy and with low requirements for computational resources. The principles of simulation are described, algorithms for recalculating the model states are presented, and computational experiments confirming the validity and workability of the simulation results for various configurations of the road network are discussed. In the experiments, the fundamental flow diagram is constructed on the basis of sensors of the traffic control center.

中文翻译：

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一种交通流统计模拟方法

摘要

提出了一种交通流统计模型，用于对长高速公路上的车辆运动进行建模。该模型使用选定路段上的基本流量密度图来模拟道路上车辆组的运动，目的是计算车辆组的速度；假设组大小线性取决于其速度。所提出的方法结合了宏观和微观模拟的优点。也就是说，它允许人们以高精度和对计算资源的低要求来模拟特大城市中车辆的运动。描述了仿真原理，提出了重新计算模型状态的算法，并讨论了验证模拟结果对各种道路网络配置的有效性和可操作性的计算实验。在实验中，基本流程图是基于交通控制中心的传感器构建的。