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Order and disorder in traffic and self-driven many-particle systems

机译:交通的顺序和紊乱和自驾驱动粒子系统

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摘要

During the last decade, physicists have identified various spatio-temporal patterns of motion in vehicle and pedestrian traffic. Moreover, by applying and extending methods from statistical physics and non-linear dynamics, these have been successfully explained by means of self-driven many-particle models. Some of the questions now understood are the following: Why are vehicles sometimes stopped by so-called "phantom traffic jams", although they all like to drive fast? What are the mechanisms behind stop-and-go traffic? Why are there several different kinds of congestion, and how are they related? Why do most traffic jams occur considerably before the road capacity is reached? Can a temporary reduction of the traffic volume cause a lasting traffic jam? What is the origin of fluctuations in traffic systems and which consequences do they have? Why do pedestrians moving in opposite directions normally organize in lanes, while nervous crowds are "freezing by heating"? Why do panicking pedestrians produce dangerous deadlocks?
机译:在过去十年中,物理学家已经确定了车辆和行人交通中的各种时空运动模式。此外,通过施加和延伸统计物理和非线性动力学的方法,通过自驱动的许多粒子模型成功地解释了这些方法。现在了解的一些问题是以下内容:为什么车辆有时被所谓的“幻影交通拥堵”停止,尽管它们都喜欢快速驾驶?停止和去交通背后的机制是什么?为什么有几种不同的拥塞,他们如何相关?为什么大多数交通拥堵在达到道路容量之前会发生大大发生?可以暂时减少交通量导致持久的交通堵塞?交通系统中波动的起源是什么?他们有哪些后果?为什么行人在相反的方向上移动通常在车道中组织,而紧张的人群则“通过加热冻结”?为什么恐慌的行人产生危险的死锁?

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