Vehicle-to-vehicle communication for safe and fuel-efficient platooning
Sidorenko, Galina LU
; Thunberg, Johan
LU
; Sjöberg, Katrin
and Vinel, Alexey
(2020)
31st IEEE Intelligent Vehicles Symposium, IV 2020
p.795-802
- Abstract
- A platoon consists of a string of vehicles traveling close together. Such tight formation allows for increased road throughput and reduced fuel consumption due to decreased air resistance. Furthermore, sensors and control algorithms can be used to provide a high level of automation. In this context, safety - in terms of no rear-end collisions - is a key property that needs to be assured. We investigate how vehicle-to-vehicle communication can be used to reduce inter-vehicle distances while guaranteeing safety in emergency braking scenarios. An optimization-based modeling scheme is presented that, under certain restrictions, provides an analytical calculation of inter-vehicle distances for safe braking. In contrast to earlier... (More)
- A platoon consists of a string of vehicles traveling close together. Such tight formation allows for increased road throughput and reduced fuel consumption due to decreased air resistance. Furthermore, sensors and control algorithms can be used to provide a high level of automation. In this context, safety - in terms of no rear-end collisions - is a key property that needs to be assured. We investigate how vehicle-to-vehicle communication can be used to reduce inter-vehicle distances while guaranteeing safety in emergency braking scenarios. An optimization-based modeling scheme is presented that, under certain restrictions, provides an analytical calculation of inter-vehicle distances for safe braking. In contrast to earlier simulation-based approaches, the framework allows for computationally efficient solutions with explicit guarantees. Two approaches for computing braking strategies in emergency scenarios are proposed. The first assumes centralized coordination by the leading vehicle and exploits necessary optimal conditions of a constrained optimization problem, whereas the second - the more conservative solution - assumes only local information and is distributed in nature. We illustrate the usefulness of the approaches through several computational simulations.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b997d3a9-e2d1-46ea-93d2-586be28cb289
- author
- Sidorenko, Galina
LU
; Thunberg, Johan
LU
; Sjöberg, Katrin
and Vinel, Alexey
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2020 IEEE Intelligent Vehicles Symposium (IV)
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 31st IEEE Intelligent Vehicles Symposium, IV 2020
- conference location
- Virtual, Las Vegas, United States
- conference dates
- 2020-10-19 - 2020-11-13
- external identifiers
-
- scopus:85094146908
- ISBN
- 978-1-7281-6673-5
- DOI
- 10.1109/IV47402.2020.9304719
- language
- Unknown
- LU publication?
- no
- id
- b997d3a9-e2d1-46ea-93d2-586be28cb289
- date added to LUP
- 2024-09-05 14:14:18
- date last changed
- 2025-04-04 15:00:26
@inproceedings{b997d3a9-e2d1-46ea-93d2-586be28cb289,
abstract = {{A platoon consists of a string of vehicles traveling close together. Such tight formation allows for increased road throughput and reduced fuel consumption due to decreased air resistance. Furthermore, sensors and control algorithms can be used to provide a high level of automation. In this context, safety - in terms of no rear-end collisions - is a key property that needs to be assured. We investigate how vehicle-to-vehicle communication can be used to reduce inter-vehicle distances while guaranteeing safety in emergency braking scenarios. An optimization-based modeling scheme is presented that, under certain restrictions, provides an analytical calculation of inter-vehicle distances for safe braking. In contrast to earlier simulation-based approaches, the framework allows for computationally efficient solutions with explicit guarantees. Two approaches for computing braking strategies in emergency scenarios are proposed. The first assumes centralized coordination by the leading vehicle and exploits necessary optimal conditions of a constrained optimization problem, whereas the second - the more conservative solution - assumes only local information and is distributed in nature. We illustrate the usefulness of the approaches through several computational simulations.<br/>}},
author = {{Sidorenko, Galina and Thunberg, Johan and Sjöberg, Katrin and Vinel, Alexey}},
booktitle = {{2020 IEEE Intelligent Vehicles Symposium (IV)}},
isbn = {{978-1-7281-6673-5}},
language = {{und}},
pages = {{795--802}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Vehicle-to-vehicle communication for safe and fuel-efficient platooning}},
url = {{http://dx.doi.org/10.1109/IV47402.2020.9304719}},
doi = {{10.1109/IV47402.2020.9304719}},
year = {{2020}},
}