IRouteSafe: Personalized cloud-based route planning based on risk profiles of drivers

Abdalla Abdelrahman, Hossam S. Hassanein, Najah Abu-Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Car accidents are one of the leading causes of human fatalities worldwide. Given the variation in capabilities of drivers in different driving conditions, a personalized safety-based routing - that considers the variation in driving skills - is a step towards minimizing drivers' individual and aggregate risk. In this paper, we propose iRouteSafe, a novel cloud-based route planner that utilizes drivers' individualized risk profiles in suggesting routing options based on drivers' personal skillfulness levels. Using graph theory concepts, the routing problem is formulated as a combinatorial multi-objective optimization problem where the objective is to find the optimal route that minimizes cost function composed of a route's travel time, expected risk, and the personal driver-specific risk in such driving routes. To highlight the significance of the proposed route planning, a case study is presented.

Original languageEnglish
Title of host publication2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109602
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes
Event2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
Duration: Dec 9 2019Dec 13 2019

Publication series

Name2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/TerritoryUnited States
CityWaikoloa
Period12/9/1912/13/19

Keywords

  • Cloud computing
  • Driver profiling
  • Driving behavior classification
  • Intelligent transportation systems (ITS)
  • Route planning
  • Telematics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Control and Optimization

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