Artificial intelligence in intelligent transportation systems
Purpose – This article examines the contribution of artificial intelligence to augmenting Intelligent Transportation Systems (ITS) to enhance traffic flow, safety, and sustainability. Design/methodology/approach – The research investigates using AI technologies in ITS, including machine learning, co...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2025-04-01
|
| Series: | Journal of Intelligent Manufacturing and Special Equipment |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JIMSE-11-2024-0035/full/pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850201254514393088 |
|---|---|
| author | Leila Zemmouchi-Ghomari |
| author_facet | Leila Zemmouchi-Ghomari |
| author_sort | Leila Zemmouchi-Ghomari |
| collection | DOAJ |
| description | Purpose – This article examines the contribution of artificial intelligence to augmenting Intelligent Transportation Systems (ITS) to enhance traffic flow, safety, and sustainability. Design/methodology/approach – The research investigates using AI technologies in ITS, including machine learning, computer vision, and deep learning. It analyzes case studies on ITS projects in Poznan, Mysore, Austin, New York City, and Beijing to identify essential components, advantages, and obstacles. Findings – Using AI in Intelligent Transportation Systems has considerable opportunities for enhancing traffic efficiency, minimizing accidents, and fostering sustainable urban growth. Nonetheless, issues like data quality, real-time processing, security, public acceptability, and privacy concerns need resolution. Originality/value – This article thoroughly examines AI-driven ITS, emphasizing successful applications and pinpointing significant difficulties. It underscores the need for a sustainable economic strategy for extensive adoption and enduring success. |
| format | Article |
| id | doaj-art-8a6bf69830f44effbf73169114543395 |
| institution | OA Journals |
| issn | 2633-6596 2633-660X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Journal of Intelligent Manufacturing and Special Equipment |
| spelling | doaj-art-8a6bf69830f44effbf731691145433952025-08-20T02:12:03ZengEmerald PublishingJournal of Intelligent Manufacturing and Special Equipment2633-65962633-660X2025-04-0161264210.1108/JIMSE-11-2024-0035Artificial intelligence in intelligent transportation systemsLeila Zemmouchi-Ghomari0Innovative Technologies Laboratory, National Higher School of Advanced Technologies, Algiers, AlgeriaPurpose – This article examines the contribution of artificial intelligence to augmenting Intelligent Transportation Systems (ITS) to enhance traffic flow, safety, and sustainability. Design/methodology/approach – The research investigates using AI technologies in ITS, including machine learning, computer vision, and deep learning. It analyzes case studies on ITS projects in Poznan, Mysore, Austin, New York City, and Beijing to identify essential components, advantages, and obstacles. Findings – Using AI in Intelligent Transportation Systems has considerable opportunities for enhancing traffic efficiency, minimizing accidents, and fostering sustainable urban growth. Nonetheless, issues like data quality, real-time processing, security, public acceptability, and privacy concerns need resolution. Originality/value – This article thoroughly examines AI-driven ITS, emphasizing successful applications and pinpointing significant difficulties. It underscores the need for a sustainable economic strategy for extensive adoption and enduring success.https://www.emerald.com/insight/content/doi/10.1108/JIMSE-11-2024-0035/full/pdfITSAI technologiesTransportation systemTraffic management system |
| spellingShingle | Leila Zemmouchi-Ghomari Artificial intelligence in intelligent transportation systems Journal of Intelligent Manufacturing and Special Equipment ITS AI technologies Transportation system Traffic management system |
| title | Artificial intelligence in intelligent transportation systems |
| title_full | Artificial intelligence in intelligent transportation systems |
| title_fullStr | Artificial intelligence in intelligent transportation systems |
| title_full_unstemmed | Artificial intelligence in intelligent transportation systems |
| title_short | Artificial intelligence in intelligent transportation systems |
| title_sort | artificial intelligence in intelligent transportation systems |
| topic | ITS AI technologies Transportation system Traffic management system |
| url | https://www.emerald.com/insight/content/doi/10.1108/JIMSE-11-2024-0035/full/pdf |
| work_keys_str_mv | AT leilazemmouchighomari artificialintelligenceinintelligenttransportationsystems |