Analysis and Prediction of Spatiotemporal Impact of Traffic Incidents for Better Mobility and Safety in Transportation System [Research Project]

Shahabi, Cyrus; Demiryurek, Ugur; University of Southern California. Dept. of Computer Science; METRANS Transportation Center (Calif.)

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Analysis and Prediction of Spatiotemporal Impact of Traffic Incidents for Better Mobility and Safety in Transportation System [Research Project]

2015-12-31
By Shahabi, Cyrus ; Demiryurek, Ugur

[PDF-231.36 KB]

English

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Details:

Creators:

Shahabi, Cyrus ; Demiryurek, Ugur

Shahabi, Cyrus ; Demiryurek, Ugur Less -
Corporate Creators:

University of Southern California. Dept. of Computer Science ; METRANS Transportation Center (Calif.)

University of Southern California. Dept. of Computer Science ; METRANS Transportation Center (Calif.) 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:

[+]

Algorithms Analysis Crash Data Forecasting Police Reports Traffic Data Traffic Delays Traffic Incidents Traffic Models
Resource Type:

Brief
Geographical Coverage:

Los Angeles (California) ; United States

Los Angeles (California) ; United States Less -
Edition:

Research Project
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

The goal of this research is to develop a machine learning framework to predict the spatiotemporal impact of traffic accidents on the upstream traffic and surrounding region. We propose a Latent Space Model for Road Networks (LSM-RN), which enables more accurate and scalable traffic prediction by utilizing both topology similarity and temporal correlations.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:ff4f55536ec270648aafa9214f9fc4cb59d7ddf0604e4f177ab791015a0bc091
Download URL:

https://rosap.ntl.bts.gov/view/dot/67672/dot_67672_DS1.pdf
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No Additional Files

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Analysis and Prediction of Spatiotemporal Impact of Traffic Incidents for Better Mobility and Safety in Transportation System [Research Project]

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