Real-Time Truck Parking Information Integration, Visualization, and Prediction

Wang, Yanhai; Yang, Hao; Zhuang, Yifan; Sun, Wei; University of Washington. Department of Civil and Environmental Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Real-Time Truck Parking Information Integration, Visualization, and Prediction

2023-01-01
By Wang, Yanhai ; Yang, Hao ; Zhuang, Yifan ; ...

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Details:

Creators:

Wang, Yanhai ; Yang, Hao ; Zhuang, Yifan ; Sun, Wei

Wang, Yanhai ; Yang, Hao ; Zhuang, Yifan ; Sun, Wei Less -
Corporate Creators:

University of Washington. Department of Civil and Environmental Engineering
Corporate Contributors:

Washington State Department of Transportation. Research Office ; United States. Department of Transportation. Federal Highway Administration

Washington State Department of Transportation. Research Office ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Highway Transportation Information Processing Management Parking Parking Demand Predictive Models Trucking
Publication/ Report Number:

WA-RD 904.1
Resource Type:

Tech Report
Geographical Coverage:

Washington ; United States

Washington ; United States Less -
Corporate Publisher:

Washington State Department of Transportation
Abstract:

The trucking industry plays a critical role in freight transportation in the United States. One major problem commonly recognized across the country is inadequate truck parking supply because existing truck parking facilities are struggling to meet the demand of increasing numbers of trucks on the road. Lack of parking spaces and real-time parking availability information greatly exacerbates the uncertainty of trips and often results in illegal parking and/or overtime driving.
Format:

PDF
Funding:

Agreement T1461-73
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:4ccb7f65bc5d0bd8ecc192cfe7112b9e34de3c54e54ff95cc39eb945a709845b83fcea9f4d25a05f19041971a3c1dc11ca3e0906a5086387585e708a2e206fa3
Download URL:

https://rosap.ntl.bts.gov/view/dot/82182/dot_82182_DS1.pdf
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Real-Time Truck Parking Information Integration, Visualization, and Prediction

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