Applications of Artificial Intelligence in Transportation

Sikandar Khan; Adnan Adnan; Naveed Iqbal

doi:10.1109/ICECET55527.2022.9872928

Applications of Artificial Intelligence in Transportation

Sikandar Khan
, Adnan Adnan
, Naveed Iqbal

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

25 Scopus citations

Abstract

Artificial Intelligence (AI) is advancing at a breakneck pace presenting unprecedented prospects to improve the performance of various industries and enterprises, including the transportation sector. Transportation planning and operation gives opportunity to meet the demand for safe, cheap, convenient, and sustainable movement of people and products. AI in transportation is urgently needed to handle the challenges of increased travel demand, CO2 emissions, and traffic safety. Cities around the world are experiencing transportation related issues such as traffic congestion, accidents, and air pollution as a result of population growth. AI in transportation can collect traffic data in order to alleviate traffic congestion and improve public transport scheduling. This paper provides an overview of the use of AI in transportation, with a focus on transportation management, planning and control, intelligent parking monitoring for rapid location, and accident avoidance. The importance of road condition monitoring for increased safety, self-driving cars for increased reliability, and traffic flow analysis for increased efficiency are also discussed. Future trends and challenges of using AI in transportation are also examined.

Original language	English
Title of host publication	International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665470872
DOIs	https://doi.org/10.1109/ICECET55527.2022.9872928
State	Published - 2022
Event	2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 - Prague, Czech Republic Duration: 20 Jul 2022 → 22 Jul 2022

Publication series

Name	International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022

Conference

Conference	2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022
Country/Territory	Czech Republic
City	Prague
Period	20/07/22 → 22/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

Accident Avoidance
Artificial Intelligence
Intelligent Transportation
Road Condition Monitoring
Traffic Congestion Control

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/ICECET55527.2022.9872928

Cite this

Khan, S., Adnan, A., & Iqbal, N. (2022). Applications of Artificial Intelligence in Transportation. In International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 (International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECET55527.2022.9872928

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title = "Applications of Artificial Intelligence in Transportation",

abstract = "Artificial Intelligence (AI) is advancing at a breakneck pace presenting unprecedented prospects to improve the performance of various industries and enterprises, including the transportation sector. Transportation planning and operation gives opportunity to meet the demand for safe, cheap, convenient, and sustainable movement of people and products. AI in transportation is urgently needed to handle the challenges of increased travel demand, CO2 emissions, and traffic safety. Cities around the world are experiencing transportation related issues such as traffic congestion, accidents, and air pollution as a result of population growth. AI in transportation can collect traffic data in order to alleviate traffic congestion and improve public transport scheduling. This paper provides an overview of the use of AI in transportation, with a focus on transportation management, planning and control, intelligent parking monitoring for rapid location, and accident avoidance. The importance of road condition monitoring for increased safety, self-driving cars for increased reliability, and traffic flow analysis for increased efficiency are also discussed. Future trends and challenges of using AI in transportation are also examined.",

keywords = "Accident Avoidance, Artificial Intelligence, Intelligent Transportation, Road Condition Monitoring, Traffic Congestion Control",

author = "Sikandar Khan and Adnan Adnan and Naveed Iqbal",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; Conference date: 20-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/ICECET55527.2022.9872928",

language = "English",

series = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022",

address = "United States",

}

Khan, S, Adnan, A & Iqbal, N 2022, Applications of Artificial Intelligence in Transportation. in International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022. International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022, Prague, Czech Republic, 20/07/22. https://doi.org/10.1109/ICECET55527.2022.9872928

Applications of Artificial Intelligence in Transportation. / Khan, Sikandar; Adnan, Adnan; Iqbal, Naveed.
International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022).

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

TY - GEN

T1 - Applications of Artificial Intelligence in Transportation

AU - Khan, Sikandar

AU - Adnan, Adnan

AU - Iqbal, Naveed

PY - 2022

Y1 - 2022

N2 - Artificial Intelligence (AI) is advancing at a breakneck pace presenting unprecedented prospects to improve the performance of various industries and enterprises, including the transportation sector. Transportation planning and operation gives opportunity to meet the demand for safe, cheap, convenient, and sustainable movement of people and products. AI in transportation is urgently needed to handle the challenges of increased travel demand, CO2 emissions, and traffic safety. Cities around the world are experiencing transportation related issues such as traffic congestion, accidents, and air pollution as a result of population growth. AI in transportation can collect traffic data in order to alleviate traffic congestion and improve public transport scheduling. This paper provides an overview of the use of AI in transportation, with a focus on transportation management, planning and control, intelligent parking monitoring for rapid location, and accident avoidance. The importance of road condition monitoring for increased safety, self-driving cars for increased reliability, and traffic flow analysis for increased efficiency are also discussed. Future trends and challenges of using AI in transportation are also examined.

AB - Artificial Intelligence (AI) is advancing at a breakneck pace presenting unprecedented prospects to improve the performance of various industries and enterprises, including the transportation sector. Transportation planning and operation gives opportunity to meet the demand for safe, cheap, convenient, and sustainable movement of people and products. AI in transportation is urgently needed to handle the challenges of increased travel demand, CO2 emissions, and traffic safety. Cities around the world are experiencing transportation related issues such as traffic congestion, accidents, and air pollution as a result of population growth. AI in transportation can collect traffic data in order to alleviate traffic congestion and improve public transport scheduling. This paper provides an overview of the use of AI in transportation, with a focus on transportation management, planning and control, intelligent parking monitoring for rapid location, and accident avoidance. The importance of road condition monitoring for increased safety, self-driving cars for increased reliability, and traffic flow analysis for increased efficiency are also discussed. Future trends and challenges of using AI in transportation are also examined.

KW - Accident Avoidance

KW - Artificial Intelligence

KW - Intelligent Transportation

KW - Road Condition Monitoring

KW - Traffic Congestion Control

UR - https://www.scopus.com/pages/publications/85138891392

U2 - 10.1109/ICECET55527.2022.9872928

DO - 10.1109/ICECET55527.2022.9872928

M3 - Conference contribution

AN - SCOPUS:85138891392

T3 - International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022

BT - International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022

Y2 - 20 July 2022 through 22 July 2022

ER -

Applications of Artificial Intelligence in Transportation

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this