Impact of driving aggressiveness on the traffic stability based on an extended optimal velocity model
Impact of driving aggressiveness on the traffic stability based on an extended optimal velocity model
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DOI：
10.1007/s11071-015-2125-y
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发表时间：
2015-05
影响因子：
5.6
通讯作者：
Zhipeng Li;Leimin Liu;Shangzhi Xu;Yeqing Qian
中科院分区：
文献类型：
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作者：
Zhipeng Li;Leimin Liu;Shangzhi Xu;Yeqing Qian
实际交通中的驾驶员在驾驶行为中的攻击性不同，最终会体现在车辆之间的相互作用和车流的波动上。为了研究驾驶攻击性对交通稳定性的影响，提出了一种扩展的微观跟车模型，通过重构最优速度，根据个体的驾驶攻击性将交通系统中的驾驶员分为两组。利用线性稳定性理论，推导了该模型的稳定性条件，以探索其抗小扰动的能力。得到了不同比例攻击性驾驶员的中性稳定线，发现当平均间隔小于某一临界值或大于另一临界值时，随着攻击性较高驾驶员所占比例的增加，交通流趋于稳定，但当平均间隔落在这两个临界值之间时，随着攻击性较高驾驶员所占比例的增加，交通流变得越来越不稳定。最后，通过数值模拟验证了这些理论结果，并考察了驾驶攻击性较高的驾驶员驾驶的车辆所占比例如何影响车辆系统的交通流量。
The drivers in actual traffic differ in the aggressiveness in driving behaviors, which will finally be reflected in the interaction between vehicles and fluctuations in flows. In this paper, we try to study the effect of driving aggressiveness on the traffic stability by proposing an extended microscopic car-following model, in which the optimal velocity is reconstructed to divide the drivers in traffic system into two groups according to driving aggressiveness of each individual. The stability condition of the proposed model is derived to explore its ability against a small perturbation by use of the linear stability theory. We obtain the neutral stability lines for different percentages of drivers with a higher driving aggressiveness, finding that the traffic flow trends to stable with the increase in the percentage for higher driving aggressiveness drivers when the average headway is less than a critical value or greater than another critical value, but when the average headway falls into the intermediate range between the two critical values, the traffic flow becomes more and more unstable with increase in the percentage of drivers with a higher driving aggressiveness. Finally, numerical simulations are conducted to verify these theoretical results and examine how the percentage of vehicles driven by higher driving aggressiveness drivers affects the traffic flux of the vehicle system.