On Road Network Utility Based on Risk-Aware Link Choice

Emma Fitzgerald, Björn Landfeldt

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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Abstract

We have previously shown how it is possible to lower accident risk levels while at the same time increasing traffic flows with the aid of vehicular ad-hoc networks. In this paper, we extend the online traffic accident risk mitigation sys- tem to include link choice. We develop an algorithm that allows vehicles to choose road links that provide the current maximal utility, based on information received over a vehicular network, whilst remaining below acceptable risk levels. Additionally, we investigate how to improve the performance of this algorithm by considering the effect a vehicle’s link choice has on the utility of other vehicles. We introduce a social penalty for reducing other vehicles’ utility and investigate the effects of including this as a factor in vehicles’ link choices. The resulting system sheds new light on the problem of effective link choice by route selection algorithms and highlights the potential that exists in VANET-based traffic management.
Original languageEnglish
Title of host publicationInternational IEEE Conference on Intelligent Transportation Systems
EditorsAndreas Hegyi
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages8
Publication statusPublished - 2013
EventInternational IEEE Conference on Intelligent Transportation Systems - The Hague, Netherlands
Duration: 2013 Oct 6 → …

Conference

ConferenceInternational IEEE Conference on Intelligent Transportation Systems
Country/TerritoryNetherlands
CityThe Hague
Period2013/10/06 → …

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • Traffic Flow Management Risk ITS Wireless Algorithm Efficiency Safety

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