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Explaining traffic patterns at on-ramp vicinity by a driver perception model in the framework of three-phase traffic theory

机译:在三相交通理论的框架内,通过驾驶员感知模型解释匝道附近的交通模式

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摘要

In traffic system, driving behaviors change with the surrounding traffic perceived by drivers, resulting in the complex spatio-temporal traffic patterns. Accordingly, ill the majority of traffic models, vehicle accelerations are described by dynamic equations based on driving behavior, system dynamics and some underlying steady-state velocity-gap (bumper-to-bumper spacing) relation in order to guarantee the realistic human behavior. This paper proposes a deterministic car-following model based on a multi-branch fundamental diagram with each branch representing a particular category of driving style. Furthermore, an additional dynamic perception equation is introduced to reflect the driving style adaptation in response to the change in surrounding traffic situations. With simulation based on the proposed "driver perception model" (DP model), empirical findings of traffic breakdown and observed spatio-temporal patterns at on-ramp vicinity are reproduced. Furthermore, comparison results show the consistency between numerical simulation and the real traffic data of Beijing urban freeway.
机译:在交通系统中,驾驶行为随驾驶员所感知的周围交通而变化,从而导致复杂的时空交通模式。因此,在大多数交通模型中,通过基于驾驶行为,系统动力学和一些基本的稳态速度差(保险杠到保险杠间距)关系的动力学方程式来描述车辆的加速度,以保证现实的人类行为。本文提出了一种基于多分支基本图的确定性汽车跟随模型,其中每个分支代表特定类型的驾驶风格。此外,引入了一个附加的动态感知方程式,以响应周围交通状况的变化来反映驾驶风格的适应性。通过基于建议的“驾驶员感知模型”(DP模型)进行仿真,可以再现出交通故障的经验发现和在匝道附近观察到的时空模式。此外,比较结果表明数值模拟与北京城市高速公路的实际交通数据之间具有一致性。

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