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Anticipation driving behavior and related reduction of energy consumption in traffic flow

机译:预期的驾驶行为以及相关的交通流量能耗降低

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摘要

In view that drivers would pay attention to the variation of headway on roads, an extended optimal velocity model is proposed by considering anticipation driving behavior. A stability criterion is given through linear stability analysis of traffic flows. The mKdV equation is derived with the reductive perturbation method for headway evolution which could be used to describe the stop-and-go traffic phenomenon. The results show a good effect of anticipation driving behavior on the stabilization of car flows and the anticipation driving behavior can improve the numerical stability of the model as well. In addition, the fluctuation of kinetic energy and the consumption of average energy in congested traffic flows are systematically analyzed. The results show that the reasonable level of anticipation driving behavior can save energy consumption in deceleration process effectively and lead to an associated relation like a "bow-tie" between the energy-saving and the value of anticipation factor.
机译:考虑到驾驶员会注意道路上的车距变化,通过考虑预期的驾驶行为,提出了扩展的最佳速度模型。通过对交通流量进行线性稳定性分析,给出了稳定性判据。 mKdV方程是用还原摄动法进行车头演变的,可以用来描述停走交通现象。结果表明,预期的驾驶行为对车流的稳定具有良好的效果,预期的驾驶行为也可以提高模型的数值稳定性。此外,系统分析了拥堵交通流中动能的波动和平均能量的消耗。结果表明,合理的预期驾驶行为水平可以有效地节省减速过程中的能耗,并导致节能与预期因子值之间的“领结”关系。

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