- Publication . Article . 2021Open AccessAuthors:Jianhe Du; Hesham A. Rakha; Fethi Filali; Hoda Eldardiry;Jianhe Du; Hesham A. Rakha; Fethi Filali; Hoda Eldardiry;Publisher: Elsevier BV
Abstract A dramatic reduction in traffic demand has been observed during the COVID-19 pandemic, producing noticeable declines in traffic delays, energy consumption, and emissions. This unprecedented event provides us with the chance to investigate how limiting the number of vehicles on the transportation network can contribute to a better environment. This paper quantifies the effects of reduced traffic demand on vehicle delays, fuel consumption, and emission levels. Microscopic simulation was used to model traffic for seven different networks. Our results show that decreased traffic demand contributes significantly to reducing delays and emissions, especially in congested urban areas. The results also show that another important contributing factor is the network configuration. Specifically, networks with lower connectivity and fewer routing alternatives or networks with lower roadway density are more sensitive to traffic demand drops in terms of reducing vehicle delays and emissions.
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- Publication . Article . 2021Open AccessAuthors:Jianhe Du; Hesham A. Rakha; Fethi Filali; Hoda Eldardiry;Jianhe Du; Hesham A. Rakha; Fethi Filali; Hoda Eldardiry;Publisher: Elsevier BV
Abstract A dramatic reduction in traffic demand has been observed during the COVID-19 pandemic, producing noticeable declines in traffic delays, energy consumption, and emissions. This unprecedented event provides us with the chance to investigate how limiting the number of vehicles on the transportation network can contribute to a better environment. This paper quantifies the effects of reduced traffic demand on vehicle delays, fuel consumption, and emission levels. Microscopic simulation was used to model traffic for seven different networks. Our results show that decreased traffic demand contributes significantly to reducing delays and emissions, especially in congested urban areas. The results also show that another important contributing factor is the network configuration. Specifically, networks with lower connectivity and fewer routing alternatives or networks with lower roadway density are more sensitive to traffic demand drops in terms of reducing vehicle delays and emissions.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.