On Road Network Utility Based on Risk-Aware Link Choice

Summary, in English

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.

• Author: Emma Fitzgerald; Björn Landfeldt
• Editor: Andreas Hegyi
• Department/s: Department of Electrical and Information Technology; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publishing year: 2013
• Language: English
• Publication/Series: International IEEE Conference on Intelligent Transportation Systems
• Full text: - 412 kB; Download statistics
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Electrical Engineering, Electronic Engineering, Information Engineering
• Keywords: Traffic Flow Management Risk ITS Wireless Algorithm Efficiency Safety
• Conference name: International IEEE Conference on Intelligent Transportation Systems
• Conference date: 2013-10-06
• Conference place: The Hague, Netherlands
• Status: Published
• Project: ELLIIT LU P01: WP2 Networking solutions
• Research group: Networking