Investigating Impact of Crowdsourcing on Smart Freight Mobility

Chandra, Shailesh; Jimenez, Jose; Nguyen, Annie; METRANS Transportation Center (Calif.); California State University, Long Beach. Department of Civil Engineering and Construction Engineering Management

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Investigating Impact of Crowdsourcing on Smart Freight Mobility

2018-12-09
By Chandra, Shailesh ; Jimenez, Jose ; Nguyen, Annie

[PDF-1.08 MB]

English

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Creators:

Chandra, Shailesh ; Jimenez, Jose ; Nguyen, Annie

Chandra, Shailesh ; Jimenez, Jose ; Nguyen, Annie Less -
Corporate Creators:

METRANS Transportation Center (Calif.) ; California State University, Long Beach. Department of Civil Engineering and Construction Engineering Management

METRANS Transportation Center (Calif.) ; California State University, Long Beach. Department of Civil Engineering and Construction Engineering Management Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Crowdsourcing Data Collection Freight Traffic Traffic Congestion Traffic Flow Traffic Models Traffic Simulation
Resource Type:

Tech Report
Geographical Coverage:

California ; United States

California ; United States Less -
Edition:

Final Report
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

This research demonstrates an important application of emerging technologies (such as crowdsourcing) into freight transportation and logistics. Efficient crowdsourcing-based strategies could be developed that can be improve communication among trucks, avoid congestion points along routes and minimize congestion. This research also demonstrates the level of efficiency that can be achieved in reducing congestion, assist in routing and further. Therefore, this proposed research is a step towards filling this gap in applications of crowdsourcing technology to the development of a smart freight system. The model presented in this paper aims to show some insights on leveraging crowdsourced information on downstream traffic conditions to improve a freight system’s performance.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:9e9f9860d339b98eb1be170d84df3b1e565b7971b030b17ff1ead9bf19cc4fa7
Download URL:

https://rosap.ntl.bts.gov/view/dot/66851/dot_66851_DS1.pdf
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Investigating Impact of Crowdsourcing on Smart Freight Mobility

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