Alleviating Road Traffic Congestion with Artificial Intelligence

Guni Sharon

Alleviating Road Traffic Congestion with Artificial Intelligence

Guni Sharon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.

Original language	English
Title of host publication	Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
Editors	Zhi-Hua Zhou
Publisher	International Joint Conferences on Artificial Intelligence
Pages	4965-4969
Number of pages	5
ISBN (Electronic)	9780999241196
State	Published - 1 Jan 2021
Externally published	Yes
Event	30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Canada Duration: 19 Aug 2021 → 27 Aug 2021

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)	1045-0823

Conference

Conference	30th International Joint Conference on Artificial Intelligence, IJCAI 2021
Country/Territory	Canada
City	Virtual, Online
Period	19/08/21 → 27/08/21

ASJC Scopus subject areas

Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{2d795b69864c45e599f2298bf2ff673d,

title = "Alleviating Road Traffic Congestion with Artificial Intelligence",

abstract = "This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.",

author = "Guni Sharon",

note = "Publisher Copyright: {\textcopyright} 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.; 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 ; Conference date: 19-08-2021 Through 27-08-2021",

year = "2021",

month = jan,

day = "1",

language = "English",

series = "IJCAI International Joint Conference on Artificial Intelligence",

publisher = "International Joint Conferences on Artificial Intelligence",

pages = "4965--4969",

editor = "Zhi-Hua Zhou",

booktitle = "Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021",

}

Sharon, G 2021, Alleviating Road Traffic Congestion with Artificial Intelligence. in Z-H Zhou (ed.), Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, pp. 4965-4969, 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual, Online, Canada, 19/08/21.

Alleviating Road Traffic Congestion with Artificial Intelligence. / Sharon, Guni.
Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. ed. / Zhi-Hua Zhou. International Joint Conferences on Artificial Intelligence, 2021. p. 4965-4969 (IJCAI International Joint Conference on Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Alleviating Road Traffic Congestion with Artificial Intelligence

AU - Sharon, Guni

PY - 2021/1/1

Y1 - 2021/1/1

N2 - This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.

AB - This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.

UR - http://www.scopus.com/inward/record.url?scp=85125462809&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85125462809

T3 - IJCAI International Joint Conference on Artificial Intelligence

SP - 4965

EP - 4969

BT - Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021

A2 - Zhou, Zhi-Hua

PB - International Joint Conferences on Artificial Intelligence

T2 - 30th International Joint Conference on Artificial Intelligence, IJCAI 2021

Y2 - 19 August 2021 through 27 August 2021

ER -

Alleviating Road Traffic Congestion with Artificial Intelligence

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

Other files and links

Fingerprint

Cite this