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Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
by
Macioszek, Elżbieta
, Kurek, Agata
in
Annual variations
/ Anomalies
/ Coronaviruses
/ COVID-19
/ COVID-19 infection
/ covid-19 time
/ Drug stores
/ Grocery stores
/ Impact analysis
/ Mathematical analysis
/ pandemic
/ Pandemics
/ Remote sensing
/ remote sensing data collecting
/ road traffic volume
/ Roads & highways
/ Seasonal variations
/ traffic
/ traffic flow parameters
/ Traffic information
/ Traffic management
/ Traffic planning
/ Traffic volume
/ Transport phenomena
/ travel
/ video detection
2021
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Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
by
Macioszek, Elżbieta
, Kurek, Agata
in
Annual variations
/ Anomalies
/ Coronaviruses
/ COVID-19
/ COVID-19 infection
/ covid-19 time
/ Drug stores
/ Grocery stores
/ Impact analysis
/ Mathematical analysis
/ pandemic
/ Pandemics
/ Remote sensing
/ remote sensing data collecting
/ road traffic volume
/ Roads & highways
/ Seasonal variations
/ traffic
/ traffic flow parameters
/ Traffic information
/ Traffic management
/ Traffic planning
/ Traffic volume
/ Transport phenomena
/ travel
/ video detection
2021
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Do you wish to request the book?
Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
by
Macioszek, Elżbieta
, Kurek, Agata
in
Annual variations
/ Anomalies
/ Coronaviruses
/ COVID-19
/ COVID-19 infection
/ covid-19 time
/ Drug stores
/ Grocery stores
/ Impact analysis
/ Mathematical analysis
/ pandemic
/ Pandemics
/ Remote sensing
/ remote sensing data collecting
/ road traffic volume
/ Roads & highways
/ Seasonal variations
/ traffic
/ traffic flow parameters
/ Traffic information
/ Traffic management
/ Traffic planning
/ Traffic volume
/ Transport phenomena
/ travel
/ video detection
2021
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Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
Journal Article
Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
2021
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Overview
Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.
Publisher
MDPI AG
Subject
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