Modeling the Impact of COVID-19 on Traffic Operation, Emission and Queue Length: a Case Study
Taqwa Alhadidi, Ahmad H. Alomari
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Abstract
– The global COVID-19 outbreak has caused a drastic change in human travel behavior. Most of the measures that have been taken by governments and local authorities involve behavioral changes from citizens to reduce their social contact to a minimum in order to control the spread of the virus. Thus, these actions affect individual activity patterns and transport systems differently. This paper quantifies the impact of COVID-19 on intersection operation performance using data from the control management room at Greater Amman Municipality (GAM) in Jordan. In this paper, the operational performance of one of the heaviest signalized intersections in Amman has been modeled under COVID-19 prevention measures. The intersection's performance has been evaluated under three scenarios, namely, before CVOID-19 hits, using an odd/even license plate strategy with activities closure, and using a 70% capacity restriction. In the Analytical Hierarchy Process (AHP), multi-criteria have been used. Three criteria groups (efficiency, capacity, and environmental) have been developed, which have contained eight sub-criteria. The weights of the criteria groups have been varied based on practitioners' and academic perspectives. The application of the developed methodology has enabled the selection of the most suitable travel restriction decision that has helped improve the transportation system's operational status. The evaluation sub-criteria in the study are vehicle delay, queue length, stopped delay, stops, travel time, vehicle safety, CO emission, and fuel consumption. Results have indicated that, by comparing the intersection operation performance before and after COVID-19, there is a significant improvement in intersection performance due to the travel restrictions during the pandemic effect. Moreover, AHP has indicated that the odd/even system is the best strategy to improve intersection performance. The results have indicated that the odd/even system has the best operational performance compared to the other two travel restrictions. © 2022 Praise Worthy Prize S.r.l. All rights reserved.
新冠肺炎疫情对交通运行、排放和排队长度的影响建模——以疫情为例
——全球新冠肺炎疫情导致人类旅行行为发生巨大变化。政府和地方当局采取的大多数措施涉及公民的行为改变,以减少他们的社会接触,以控制病毒的传播。因此,这些行为对个人活动模式和运输系统的影响是不同的。本文利用约旦大安曼市(GAM)控制管理室的数据,量化了COVID-19对交叉口运营绩效的影响。本文对安曼最重的信号交叉口之一的运行性能进行了基于COVID-19预防措施的建模。在CVOID-19到来之前,使用单双号策略关闭活动,以及使用70%的容量限制三种场景下对交叉口的性能进行了评估。在层次分析法(AHP)中,采用了多准则。制定了三个标准组(效率、能力和环境),其中包含八个子标准。标准组的权重根据从业者和学术观点而有所不同。应用所开发的方法,可以选择最合适的旅行限制决策,有助于改善运输系统的运行状况。研究中的评价子标准为车辆延误、排队长度、停止延误、停车次数、行驶时间、车辆安全性、CO排放和燃油消耗。结果表明,通过对比新冠肺炎疫情前后交叉口运行性能,由于疫情期间的出行限制,交叉口运行性能有明显改善。AHP分析表明,奇偶系统是提高交叉口性能的最佳策略。结果表明,与其他两种旅行限制相比,单双行系统具有最佳的运行性能。©2022 Praise Worthy Prize S.r.l保留所有权利。
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