Paper Info
Title
Personalized Road Networks Routing with Road Safety Consideration: A Case Study in Manchester
Abstract
Urban road congestion is getting worse with the increasing population and car ownership. Traditional solutions, such as increasing road capacity and dynamic control and adaptation of traffic lights, rely heavily on infrastructure support, which limits their wider adoption and practicality. Vehicle navigation systems, such as Google Maps, TomTom, and AutoNavi, are widely used due to the popularization of smartphones. However, these systems normally provide routes with either shortest travel distance or fastest current travel speed, without any consideration of the drivers' route preferences. For example, the safety level of a road is also very important as it often leads to non-recurring congestion that is more difficult to avoid. In this paper, we propose, implement, and test a personalized routing application that allows end-users to flexibly adjust their route preferences among travel distance, estimated travel time, and the safety level. We present the validation results of our application using a realistic dataset from the city of Manchester in England.
Year
DOI
Venue
2020
10.1109/ISC251055.2020.9239085
2020 IEEE International Smart Cities Conference (ISC2)
Keywords
DocType
ISSN
Vehicle routing,personalized routing,mobile application,road safety
Conference
2687-8852
ISBN
Citations 
PageRank 
978-1-7281-8295-7
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Sophie Hayes100.34
Shen Wang200.68
Soufiene Djahel317621.46