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 language | English |
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Title of host publication | International IEEE Conference on Intelligent Transportation Systems |
Editors | Andreas Hegyi |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 8 |
Publication status | Published - 2013 |
Event | International IEEE Conference on Intelligent Transportation Systems - The Hague, Netherlands Duration: 2013 Oct 6 → … |
Conference
Conference | International IEEE Conference on Intelligent Transportation Systems |
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Country/Territory | Netherlands |
City | The Hague |
Period | 2013/10/06 → … |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- Traffic Flow Management Risk ITS Wireless Algorithm Efficiency Safety
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ELLIIT LU P01: WP2 Networking solutions
Landfeldt, B. (PI), Fitzgerald, E. (Researcher), Moradi, F. (Researcher), Karaca, M. (Researcher), Bastani, S. (Researcher), Safavi, M. (Researcher), Pioro, M. (Researcher) & Nyberg, C. (Researcher)
Project: Research