Knowledge-Based Machine Learning for Freeway COVID-19 Traffic Impact Analysis and Traffic Incident Management [Project]
Transportation Research Board; 2021.
Non-conventional
in English
| Transportation Research Board | ID: grc-747521
ABSTRACT
The U.S. Department of Transportation needs to quick response and adapt to the coronavirus (COVID-19) to ensure continuation of critical infrastructure support and relief for the American people. The COVID-19 has placed significant impacts to the traffic across the U.S. It is clear to see that traffic pattern, traffic demands, and duration alter with COVID status. Therefore, there is a critical research needs of studying the impact of COVID on traffic patterns and analyzing the relationship among traffic demand patterns, daily confirmed cases/death, state policies, public perception, etc. An effective model, based on the principle of newly invented knowledge-based machine learning, will be developed to predict the traffic impact of traffic incidents and advance traffic incident management (TIM) considering long-term impact of COVID on traffic.
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Collection:
Databases of international organizations
Database:
Transportation Research Board
Type of study:
Experimental Studies
/
Prognostic study
Topics:
Long Covid
Language:
English
Year:
2021
Document Type:
Non-conventional
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