Geospatial Analytics to Improve the Safety of Autonomous Vehicles

Robert Hipps, Tushar Chopra, Peng Zhao, Edward Kwartler and Sylvain Jaume
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Robert Hipps: Saint Peter's University, Jersey City, NJ, USA
Tushar Chopra: Saint Peter's University, USA
Peng Zhao: Saint Peter's University, USA
Edward Kwartler: Liberty Mutual Inc., Boston, MA, USA
Sylvain Jaume: Saint Peter's University, USA

International Journal of Knowledge-Based Organizations (IJKBO), 2017, vol. 7, issue 3, 40-51

Abstract: Finding the costs and risks associated with highway traffic routes would allow companies and people alike to find routes that offer a comfortable amount of risk. With the amount of traffic data being collected at a more granular level the ability to find costs and risks associated with traffic routes given real time circumstances is plausible. Weighing these data and finding the areas that are most accident-prone allows for an assessment of the probability that an accident happens and what the cost of that accident would be for any given route. This information is very valuable for both safety and cost saving for drivers and insurance companies.

Date: 2017
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