Big Data Visualization and Spatiotemporal Modeling of Risky Driving [supporting dataset]

Jahangiri, Arash; Machiani, Sahar Ghanipoor; Tsou, Ming-Hsiang; Nara, Atsushi; Harwood, Leslie

doi:10.15787/VTT1/KOT55T

i

Big Data Visualization and Spatiotemporal Modeling of Risky Driving [supporting dataset]

Dataset Supporting Files

2019-11-19
By Jahangiri, Arash ; Machiani, Sahar Ghanipoor ; Tsou, Ming-Hsiang

File Language:

English

Details

Alternative Title:

Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving (03-087) Dataset title
Creators:

Jahangiri, Arash ; Machiani, Sahar Ghanipoor ; Tsou, Ming-Hsiang ; Nara, Atsushi ; Harwood, Leslie
Corporate Creators:

San Diego State University ; Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Virginia Tech Transportation Institute
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
Subject/TRT Terms:
Publication/ Report Number:

03-087
DOI:

https://doi.org/10.15787/VTT1/KOT55T
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC)
Abstract:

Project Description: The study goal was to identify risky driving behavior using data mining methods within a large dataset. The data used in this study was obtained from the SPMD study conducted in Ann Arbor, Michigan. Data Scope: One week of SPMD data was processed to create a data table (each row representing a monitoring period) in csv format. Total number of observations for this table was 320 million with a total of 32 variables (i.e., columns). Data Specification: A detailed description of each variable in dataset can be found in Appendix A.
Format:

ZIP
Funding:

69A3551747115/Project 03-087
Download URL:

https://rosap.ntl.bts.gov/view/dot/56819/dot_56819_DS1.pdf
File Type:

[PDF - 144.43 KB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:d9a760898604f1b55a4604d4674e0fdc39ac7ae6ed8757dce4e5a341800b90ef73c069cc16aae256205a6eaefb86aa98528bee9a276d27a1eeabfaabeb25082d

Big_Data_Visualization_and_Spatiotemporal_Modeling_of_Risky_Driving.json

Download json

Big Data Visualization and Spatiotemporal Modeling of Risky Driving

Statistical evidence shows the role of risky driving as a contributing factor in roadway collisions, highlighting the importance of identifying such d ...

Jahangiri, Arash

;

Machiani, Sahar Ghanipoor

File Language:

English

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