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Vol 10, 2021
Pages: 334 - 339
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INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
SAOBRAĆAJNI FAKULTET TRAVNIK U TRAVNIKU
EKOLOŠKI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET INFORMACIONIH TEHNOLOGIJA TRAVNIK U TRAVNIKU
FAKULTET POLITEHNIČKIH NAUKA TRAVNIK U TRAVNIKU

u saradnji sa

FAKULTETA ZA LOGISTIKO UNIVERZA V MARIBORU, SLOVENIJA

organizuju

33. MEĐUNARODNU KONFERENCIJU

"IZAZOVI NOVIH TEHNOLOGIJA U FUNKCIJI MOBILNOSTI I ODRŽIVOG RAZVOJA"

15. - 16. maj 2026. godine

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Received: 08.05.2021. >> Accepted: 15.05.2021. >> Published: 22.05.2021. Previous announcements

UTJECAJ PANDEMIJE COVID-19 NA ODVIJANJE SAOBRAĆAJA I EMISIJU STAKLENIČKIH PLINOVA/IMPACT OF THE COVID-19 PANDEMIC ON TRAFFIC AND GREENHOUSE GAS EMISSIONS

By
Lejla Kubat ,
Lejla Kubat

International University of Travnik , Travnik , Bosnia and Herzegovina

Adnan Sumbuljević ,
Adnan Sumbuljević

International University of Travnik , Travnik , Bosnia and Herzegovina

Irma Bjeloglavić ,
Irma Bjeloglavić

International University of Travnik , Travnik , Bosnia and Herzegovina

Ajla Haračić
Ajla Haračić

International University of Travnik , Travnik , Bosnia and Herzegovina

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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