Spatiotemporal Risk Estimation of Traffic Accidents Using Python

Document created by benjaminacker on Jan 12, 2018
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Name:
Benjamin Acker
 
Title:
Spatiotemporal Risk Estimation of Traffic Accidents Using Python
 
Organization Name:
GAIA Lab – University of Texas at Dallas
 
Contact information:
2232 Big Bend Drive
Carrollton, TX 75007
214 226 5586
                                                                     
Biography:
Benjamin Acker is a second-year M.S. GIS student at the University of Texas Dallas. He holds a B.S. in Industrial & Systems Engineering, Summa *** Laude, from The University of Oklahoma.
 
Abstract:
We are developing a python tool to calculate the spatiotemporal risk estimate of traffic accidents in Dallas. Since accidents occur only along street networks, the SANET software is what we use to calculate shapefiles of initial spatial network kernel density estimates for each hour of the week. Our python program is then used to smooth these risk estimates over time. This research is part of a broader project funded by NIST in order to support Dallas Fire-Rescued Department 911 dispatching.
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