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Cited by 7Traffic control and managementTraffic Prediction and Management TechniquesTransportation Systems and Logistics

Implementation of AI in Traffic Management: Need, Current Techniques and Challenges

Open access
Nasim, S. Faiza, Qaiser, Asma, Abrar, Nazia, Kulsoom, Umme·2023·Pakistan Journal of Scientific Research
DOI 10.57041/pjosr.v3i1.942
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Abstract

In the most recent years, technology, including Artificial Intelligence (AI) has advanced in every industry conceivable. Artificial Intelligence has been a keen area of interest in solving everyday problems that humans face. One such area of application is Traffic Management, which required extensive human involvement since the beginning, but now researchers from all over the world are working to introduce the use of Artificial Intelligence in managing the road traffic in the major cities to eliminate the issue of traffic congestion. Artificial Intelligence (AI) has emerged as a promising solution for addressing the persistent challenges associated with traffic management in major cities. Several attempts have been made in this regard and different techniques are being worked upon till date, but the world is still far from observing the widespread use of AI in major cities. This paper presents an analysis on why Artificial Intelligence is needed for traffic management, what techniques have been developed so far and what are the common challenges that are hindering the widespread application of AI in traffic management.

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Authors
Nasim, S. F., Qaiser, A., Abrar, N., & Kulsoom, U.
Affiliations
NED University of Engineering and Technology (PK)
ORCID
Venue
Pakistan Journal of Scientific Research
Publisher
Pakistan Association for the Advancement of Science
Published
2023-10-05
Volume
3
Issue
1
Pages
20-25
ISSN
0552-9050 (ISSN-L)
DOI
10.57041/pjosr.v3i1.942
OpenAlex
W4390552608
Cited by
7
References
1
Citations by year
2026: 1 · 2025: 3 · 2024: 3
FWCI
0.72
Type
journal article
Language
en
Open access
Licence
Locations
Pakistan Journal of Scientific Research (publishedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
Keywords
artificial intelligence, traffic management, traffic congestion, urban traffic, AI techniques, implementation barriers, smart cities

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