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The transition between normal and emergency driving behaviour during evacuation and its implications for traffic flow operations and traffic management

机译:疏散期间正常和紧急驾驶行为之间的转换及其对交通流运营和交通管理的影响

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Earlier studies have shown how driving behaviour during emergency evacuation is different from that under “normal” conditions. At the same time, most evacuation studies (where the driving performance is explicitly accounted for) were conducted under the assumption of a fully activated emergency environment. However, the transition phase in evacuation, from normal driving situations to emergency driving situations, and also its implication for traffic management has not yet been widely studied. During this phase, drivers receive evacuation information and instructions at different levels, which may induce heterogeneous behavioural driving response. The action and interaction of heterogeneous drivers would influence traffic flow operations. This paper is the pioneer to investigate this transition phase at the early stage of emergency situations and its implications for traffic flow and traffic management. This is tested via a simulation study using a recently-developed open-source microscopic simulation platform, where the driver behaviour (activation level, transition period) can be specified or influenced by traffic management measures. Various scenarios are modelled showing the effect of time-varying (heterogeneous) individual driving behaviour as well as the influence of the preferable driving behaviour evoked by controllers, based on a set of performance indicators at both network and individual levels (network clearance time, arrival rate, travel time). The analyses show that high penetration of activated drivers with a high activation level and a short transition period can significantly improve network performance. Therefore, traffic control and management under a proposed guideline can influence driving behaviour of evacuees towards such an optimal operation regime to improve evacuation efficiency
机译:较早的研究表明,紧急疏散期间的驾驶行为与“正常”情况下的驾驶行为有何不同。同时,大多数疏散研究(明确说明了驾驶性能)都是在完全激活的紧急环境下进行的。然而,疏散的过渡阶段,从正常驾驶状态到紧急驾驶状态,及其对交通管理的影响尚未得到广泛研究。在此阶段,驾驶员会收到不同级别的疏散信息和指示,这可能会引起不同的行为驾驶反应。异类驱动程序的动作和交互将影响交通流的运行。本文是在紧急情况的早期阶段研究此过渡阶段及其对交通流量和交通管理的影响的先驱。这是通过使用最新开发的开放源代码微观仿真平台进行的仿真研究进行测试的,其中驾驶员行为(激活水平,过渡期)可以由交通管理措施指定或影响。基于网络和个人级别的一组性能指标(网络清除时间,到达时间),对各种情况进行建模,以显示随时间变化(异构)的个人驾驶行为的影响以及控制器引起的最佳驾驶行为的影响费率,旅行时间)。分析表明,具有高激活水平和较短过渡期的已激活驱动程序的高渗透率可以显着提高网络性能。因此,在拟议的指导原则下进行交通控制和管理可能会影响疏散人员的驾驶行为,从而朝着这种最佳操作方案发展,从而提高疏散效率

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