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Micro-simulation model of two-lane freeway vehicles for obtaining traffic flow characteristics including safety condition

机译:两车道高速公路车辆的微观仿真模型,用于获得包括安全条件在内的交通流特征

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Abstract Unidirectional two-lane freeway is a typical and the simplest form of freeway. The traffic flow characteristics including safety condition on two-lane freeway is of great significance in planning, design, and management of a freeway. Many previous traffic flow models are able to figure out flow characteristics such as speed, density, delay, and so forth. These models, however, have great difficulty in reflecting safety condition of vehicles. Besides, for the cellular automation, one of the most widely used microscopic traffic simulation models, its discreteness in both time and space can possibly cause inaccuracy or big errors in simulation results. In this paper, a micro-simulation model of two-lane freeway vehicles is proposed to evaluate characteristics of traffic flow, including safety condition. The model is also discrete in time but continuous in space, and it divides drivers into several groups on the basis of their preferences for overtaking, which makes the simulation more aligned with real situations. Partial test is conducted in this study and results of delay, speed, volume, and density indicate the preliminary validity of our model, based on which the proposed safety coefficient evaluates safety condition under different flow levels. It is found that the results of this evaluation coincide with daily experience of drivers, providing ground for effectiveness of the safety coefficient.
机译:摘要单向两车道高速公路是典型且最简单的高速公路形式。两车道高速公路的交通流特征(包括安全条件)在高速公路的规划,设计和管理中具有重要意义。以前的许多交通流模型都能够算出诸如速度,密度,延迟等流特征。但是,这些模型在反映车辆的安全状况方面有很大的困难。此外,对于蜂窝自动化而言,它是使用最广泛的微观交通模拟模型之一,它在时间和空间上的离散性可能会导致模拟结果不准确或出现较大误差。本文提出了一种两车道高速公路车辆的微观仿真模型,以评估交通流的特征,包括安全状况。该模型在时间上也是离散的,但在空间上是连续的,并且根据驾驶员的超车偏好将驾驶员分为几类,这使模拟更加符合实际情况。在这项研究中进行了部分测试,延迟,速度,体积和密度的结果表明了我们模型的初步有效性,在此基础上,提出的安全系数评估了不同流量水平下的安全状况。发现该评估的结果与驾驶员的日常经验相吻合,为安全系数的有效性奠定了基础。

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