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A SUMO based evaluation of road incidents' impact on traffic congestion level in smart cities

机译：基于Suld城市交通拥堵水平的道路事件对交通拥堵水平的评价

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Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.
机译：最近，越来越多的道路交通拥堵引起了研究界的大量关注，旨在提出创新的解决方案，以减少这个问题所产生的巨大经济损失。 在本文中，我们首先在几种情况下评估随机道路事件对通勤行程时间和整体交通拥堵水平的影响，并提供对所获得的评估结果的综合分析。 然后，我们提出了开放源业务模拟器Sumo（城市移动性模拟）的扩展，以使实时车辆重新路由，通过在仿真运行时更新其预定义的静态路由来绕过被封锁的道路。 拟议的重新路由机制已经实施，与基本相符相比，已获得的结果已证明其在减少通勤者旅行时间的高效率。

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