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Efficiently Bounding the Probabilities of Vehicle Collision at Intelligent Intersections

Thunberg, Johan LU ; Sidorenko, Galina LU ; Sjoberg, Katrin and Vinel, Alexey (2021) In IEEE Open Journal of Intelligent Transportation Systems 2. p.47-59
Abstract

Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency braking messages are broadcast to affected vehicles. We provide a framework for computing lower bounds on probabilities for safe braking - collisions between vehicles are to be avoided. If we require that a crash or collision, for example, occurs at most once in a million scenarios, our approach allows for computation of lower bounds on the... (More)

Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency braking messages are broadcast to affected vehicles. We provide a framework for computing lower bounds on probabilities for safe braking - collisions between vehicles are to be avoided. If we require that a crash or collision, for example, occurs at most once in a million scenarios, our approach allows for computation of lower bounds on the time-varying (or distance-varying) packet loss probabilities to ensure this. One of the benefits of the proposed framework is that the computational time is reduced; eliminating, for example, the need for time-consuming Monte Carlo simulations.

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Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
autonomous vehicles, C-ITS, collision, crash, intelligent intersection, ISO 21448, safety, V2X, vehicular communications
in
IEEE Open Journal of Intelligent Transportation Systems
volume
2
article number
9352029
pages
13 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85111610452
ISSN
2687-7813
DOI
10.1109/OJITS.2021.3058449
language
English
LU publication?
no
additional info
Publisher Copyright: © 2020 IEEE.
id
584c90c2-1b9a-4870-aed8-614f2bc3ee70
date added to LUP
2024-09-05 09:01:28
date last changed
2024-09-05 09:42:57
@article{584c90c2-1b9a-4870-aed8-614f2bc3ee70,
  abstract     = {{<p>Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency braking messages are broadcast to affected vehicles. We provide a framework for computing lower bounds on probabilities for safe braking - collisions between vehicles are to be avoided. If we require that a crash or collision, for example, occurs at most once in a million scenarios, our approach allows for computation of lower bounds on the time-varying (or distance-varying) packet loss probabilities to ensure this. One of the benefits of the proposed framework is that the computational time is reduced; eliminating, for example, the need for time-consuming Monte Carlo simulations.</p>}},
  author       = {{Thunberg, Johan and Sidorenko, Galina and Sjoberg, Katrin and Vinel, Alexey}},
  issn         = {{2687-7813}},
  keywords     = {{autonomous vehicles; C-ITS; collision; crash; intelligent intersection; ISO 21448; safety; V2X; vehicular communications}},
  language     = {{eng}},
  pages        = {{47--59}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Open Journal of Intelligent Transportation Systems}},
  title        = {{Efficiently Bounding the Probabilities of Vehicle Collision at Intelligent Intersections}},
  url          = {{http://dx.doi.org/10.1109/OJITS.2021.3058449}},
  doi          = {{10.1109/OJITS.2021.3058449}},
  volume       = {{2}},
  year         = {{2021}},
}