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Effect of autonomous driving on traffic breakdown in mixed traffic flow: A comparison of classical ACC with three-traffic-phase-ACC (TPACC)
Physica A: Statistical Mechanics and its Applications ( IF 3.3 ) Pub Date : 2020-10-08 , DOI: 10.1016/j.physa.2020.125315
Boris S. Kerner

In this paper, an analysis of the effect of autonomous driving vehicles on traffic breakdown in mixed traffic flow consisting of randomly distributed human driving and autonomous driving vehicles is made. Autonomous vehicles based on classical (standard) adaptive cruise control (ACC) in a vehicle and on an ACC in the framework of three-phase traffic theory (TPACC – Three-traffic-Phase ACC) introduced recently [Phys. Rev. E 97 (2018) 042303] are considered. Due to the particular importance of characteristics of traffic breakdown (transition from free traffic flow to congested traffic) for almost all approaches to traffic control and management in traffic networks, the basis of this paper is a study of the effect of autonomous vehicles on the probability of traffic breakdown and on stochastic highway capacity in mixed traffic flow. We show that within a wide range of dynamic parameters of classical ACC, the ACC-vehicles can deteriorate the traffic system considerably while initiating traffic breakdown and reducing highway capacity at a bottleneck. Contrarily, in the same range of parameters of dynamic rules of TPACC, the TPACC-vehicles either do not effect on traffic characteristics or sometimes can even improve them. To understand physical reasons for the effect of classical ACC- and TPACC-vehicles on traffic breakdown, we introduce a model of ACC that can be considered a combination of dynamic features of classical ACC and TPACC. With the use of this model, we find how the amplitude of a local speed disturbance caused by the ACC in a vicinity of a bottleneck and the probability of traffic breakdown depends on the dynamic parameters of the ACC. To emphasize that the deterioration of the characteristics of mixed traffic flow through classical ACC-vehicles is not associated with a well-known effect of string instability of platoons of autonomous vehicles, we limit by a consideration of only such classical ACC-vehicles whose platoon satisfies condition for string stability.



中文翻译:

自动驾驶对混合交通流中交通故障的影响:经典ACC与三路交通相ACC(TPACC)的比较

本文分析了无人驾驶汽车和无人驾驶汽车组成的混合交通流中自动驾驶汽车对交通故障的影响。基于经典(标准)自主车辆自适应巡航控制(ACC)在车辆中并且在三相交通理论(TPACC的框架的ACC - Ť重稀土-交通资讯Phase ACC)最近推出[Phys。修订版E 97(2018)042303]。由于交通故障的特征(从自由交通流向拥挤交通的转变)对于交通网络中几乎所有交通控制和管理方法都具有特殊的重要性,因此本文的基础是研究自动驾驶车辆对概率的影响混合交通流中的交通故障和随机公路通行能力 我们表明,在经典ACC的广泛动态参数范围内,ACC车辆在启动交通故障并降低瓶颈处的高速公路通行能力的同时,会大大恶化交通系统。相反,在相同的TPACC动态规则参数范围内,TPACC车辆要么不影响交通特性,要么有时甚至可以改善交通特性。为了了解经典ACC和TPACC车辆对交通故障的影响的物理原因,我们介绍了一种ACC模型,可以将其视为经典ACC和TPACC的动态特征的组合。通过使用该模型,我们发现瓶颈附近由ACC引起的局部速度扰动的幅度和交通中断的可能性如何取决于ACC的动态参数。为了强调通过传统ACC车辆的混合交通流特性的恶化与自动驾驶汽车排的弦不稳定性的众所周知的影响无关,我们仅考虑其排满足的经典ACC车辆来限制弦稳定性的条件。

更新日期:2020-10-11
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