Evaluating Crowdsourced Data From Waze for Rail Safety {Research Results]

Jacobini, Francesco Bedini; Ngamdung, Tashi; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology

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Evaluating Crowdsourced Data From Waze for Rail Safety {Research Results]

2022-01-01
By Jacobini, Francesco Bedini ; Ngamdung, Tashi

[PDF-624.94 KB]

English

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Details:

Creators:

Jacobini, Francesco Bedini ; Ngamdung, Tashi

Jacobini, Francesco Bedini ; Ngamdung, Tashi Less -
Corporate Creators:

United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
Corporate Contributors:

John A. Volpe National Transportation Systems Center (U.S.)
Subject/TRT Terms:

[+]

Blocked Crossing Crowdsourcing Detection And Identification System Applications Grade Crossing Protection Systems Mobile Applications Railroad Grade Crossings Railroad Safety Traffic Congestion Waze
Publication/ Report Number:

RR 22-02
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Research Results
Corporate Publisher:

United States. Department of Transportation. Federal Railroad Administration
Abstract:

Researchers from the Volpe Center determined that Waze alerts data contain meaningful information, including user-reported traffic jams. However, due to the nature of crowdsourced data, there are limitations to using this dataset, including reliability of the reports as well as discrepancies between where incidents occur versus where users report them.
Format:

PDF
Funding:

DTFR5317X00026
Collection(s):

Federal Railroad Administration Volpe Center
Main Document Checksum:

[+]

urn:sha256:3a9c6ec12ff8007a0d5a28af35f83823f04fcc3e31bd3a8d4315bb5e87291ac6
Download URL:

https://rosap.ntl.bts.gov/view/dot/60057/dot_60057_DS1.pdf
File Type:

No Additional Files

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Evaluating Crowdsourced Data From Waze for Rail Safety {Research Results]

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