Paper Info
Title
Iroutesafe: Personalized Cloud-Based Route Planning Based On Risk Profiles Of Drivers
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.
Year
DOI
Venue
2019
10.1109/GCWkshps45667.2019.9024666
2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
Keywords
DocType
ISSN
Route planning, driver profiling, driving behavior classification, cloud computing, telematics, intelligent transportation systems (ITS)
Conference
2166-0069
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Abdalla Abdelrahman101.01
H. Hassanein215327.34
Najah Abu Ali39313.87