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Increasing Road Traffic Throughput Through Dynamic Traffic Accident Risk Mitigation

Fitzgerald, Emma LU and Landfeldt, Björn LU (2015) In Journal of Transportation Technologies
Abstract
The introduction of Vehicular ad-hoc Networks (VANETs) leads to the

possibility to re-evaluate many traditional functions and views of road

traffic networks. The ability for vehicles and infrastructure to commu-

nicate and collaborate will enable many novel solutions for problems as

diverse as collision avoidance and traffic management with the view of re-

ducing traffic congestion, increasing the effectiveness of logistics systems

etc.

In this paper we introduce a novel framework that utilises VANET in-

formation to share information about risk factors among road occupants

and infrastructure. We introduce the concept of risk limits as a means of

... (More)
The introduction of Vehicular ad-hoc Networks (VANETs) leads to the

possibility to re-evaluate many traditional functions and views of road

traffic networks. The ability for vehicles and infrastructure to commu-

nicate and collaborate will enable many novel solutions for problems as

diverse as collision avoidance and traffic management with the view of re-

ducing traffic congestion, increasing the effectiveness of logistics systems

etc.

In this paper we introduce a novel framework that utilises VANET in-

formation to share information about risk factors among road occupants

and infrastructure. We introduce the concept of risk limits as a means of

traffic accident risk mitigation, whereby vehicles need to adjust their be-

haviour to maintain a given level of risk. We discuss determination of risk

values and detail this process using the NSW traffic accident database.

We show how the effects on risk of particular vehicular behaviours such

as speed and headway can be calculated and use these results to modify

vehicle behaviour in real time to maintain a predefined risk limit. Exper-

iments are carried out using the Paramics microsimulator. Our results

show that it is possible to reduce the accident rate among vehicles while

at the same time increasing road network throughput by exploiting the

variation in risk between vehicles. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
in press
subject
keywords
road safety, accident risk, Traffic management
in
Journal of Transportation Technologies
ISSN
2160-0481
language
English
LU publication?
yes
id
59dac81d-9e45-4d1f-9664-f0c2dc81c3b1 (old id 7868677)
date added to LUP
2015-09-18 11:07:39
date last changed
2016-04-16 06:04:55
@article{59dac81d-9e45-4d1f-9664-f0c2dc81c3b1,
  abstract     = {The introduction of Vehicular ad-hoc Networks (VANETs) leads to the<br/><br>
possibility to re-evaluate many traditional functions and views of road<br/><br>
traffic networks. The ability for vehicles and infrastructure to commu-<br/><br>
nicate and collaborate will enable many novel solutions for problems as<br/><br>
diverse as collision avoidance and traffic management with the view of re-<br/><br>
ducing traffic congestion, increasing the effectiveness of logistics systems<br/><br>
etc.<br/><br>
In this paper we introduce a novel framework that utilises VANET in-<br/><br>
formation to share information about risk factors among road occupants<br/><br>
and infrastructure. We introduce the concept of risk limits as a means of<br/><br>
traffic accident risk mitigation, whereby vehicles need to adjust their be-<br/><br>
haviour to maintain a given level of risk. We discuss determination of risk<br/><br>
values and detail this process using the NSW traffic accident database.<br/><br>
We show how the effects on risk of particular vehicular behaviours such<br/><br>
as speed and headway can be calculated and use these results to modify<br/><br>
vehicle behaviour in real time to maintain a predefined risk limit. Exper-<br/><br>
iments are carried out using the Paramics microsimulator. Our results<br/><br>
show that it is possible to reduce the accident rate among vehicles while<br/><br>
at the same time increasing road network throughput by exploiting the<br/><br>
variation in risk between vehicles.},
  author       = {Fitzgerald, Emma and Landfeldt, Björn},
  issn         = {2160-0481},
  keyword      = {road safety,accident risk,Traffic management},
  language     = {eng},
  series       = {Journal of Transportation Technologies},
  title        = {Increasing Road Traffic Throughput Through Dynamic Traffic Accident Risk Mitigation},
  year         = {2015},
}