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Impact of Positioning Uncertainty on Autonomous Intersection Management System

Chamideh, Seyedezahra LU ; Tärneberg, William LU and Kihl, Maria LU (2024) 26th International Conference on Intelligent Transport Systems, ITSC 2023 p.1912-1919
Abstract
Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such as
Autonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accuracy, few studies have evaluated the impact of position accuracy on AV systems. This paper investigates the level of positioning
errors that our state-of-the-art AIM system, which outperforms conventional intersection management systems, can tolerate. A comprehensive analysis of positioning accuracy requirements for a collision-free AIM... (More)
Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such as
Autonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accuracy, few studies have evaluated the impact of position accuracy on AV systems. This paper investigates the level of positioning
errors that our state-of-the-art AIM system, which outperforms conventional intersection management systems, can tolerate. A comprehensive analysis of positioning accuracy requirements for a collision-free AIM system is conducted. The investigation
reveals that our AIM system can safely handle vehicles’ movements in the presence of positioning errors up to four meters in a high traffic flow rate. Furthermore, the impact of sensor accuracy and wireless communication uncertainties on control strategies is considered. This research provides valuable insights into the challenges of designing robust autonomous systems that can withstand various uncertainties, including positioning techniques, and demonstrates the potential of AVs in enhancing ITS. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2023 IEEE International Intelligent Transportation Systems Conference (ITSC)
pages
1912 - 1919
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
26th International Conference on Intelligent Transport Systems, ITSC 2023
conference location
Bilbao, Bizkaia, Spain
conference dates
2023-09-24 - 2023-09-28
external identifiers
  • scopus:85186527406
DOI
10.1109/ITSC57777.2023.10421986
language
English
LU publication?
yes
id
4bbaaebf-d677-4956-b935-16d70986df22
date added to LUP
2023-10-11 10:07:31
date last changed
2024-03-19 12:04:04
@inproceedings{4bbaaebf-d677-4956-b935-16d70986df22,
  abstract     = {{Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such as<br/>Autonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accuracy, few studies have evaluated the impact of position accuracy on AV systems. This paper investigates the level of positioning<br/>errors that our state-of-the-art AIM system, which outperforms conventional intersection management systems, can tolerate. A comprehensive analysis of positioning accuracy requirements for a collision-free AIM system is conducted. The investigation<br/>reveals that our AIM system can safely handle vehicles’ movements in the presence of positioning errors up to four meters in a high traffic flow rate. Furthermore, the impact of sensor accuracy and wireless communication uncertainties on control strategies is considered. This research provides valuable insights into the challenges of designing robust autonomous systems that can withstand various uncertainties, including positioning techniques, and demonstrates the potential of AVs in enhancing ITS.}},
  author       = {{Chamideh, Seyedezahra and Tärneberg, William and Kihl, Maria}},
  booktitle    = {{2023  IEEE International Intelligent Transportation Systems Conference (ITSC)}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{1912--1919}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Impact of Positioning Uncertainty on Autonomous Intersection Management System}},
  url          = {{https://lup.lub.lu.se/search/files/161401652/Impact_of_Positioning_Uncertainty_on_Autonomous_Intersection_Management_System.pdf}},
  doi          = {{10.1109/ITSC57777.2023.10421986}},
  year         = {{2024}},
}