Artificial Intelligence in Transportation Systems A Critical Review
Indexed incrossref
Abstract
Purpose: The purpose of the research is to investigate the role of machine learning (ML) and artificial intelligence (AI) in the growth of smart cities. It aims to understand how these technologies are being used to manage expanding metropolitan areas, boost economies, reduce energy consumption, and improve the living standards of residents. The study also aims to analyze the information flow associated with ICT in smart cities. Methodology: The methodology involves conducting a survey to identify the typical technologies used to support communication in smart cities. It also involves a systematic evaluation of current patterns in publications related to ICT in smart cities. The research utilizes ML and AI…
Citation impact
183
total citations
- FWCI
- 26.80
- Percentile
- 100%
- References
- 10
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Interoperability
- Flexibility (engineering)
- Intelligent transportation system
- Computer science
- Information and Communications Technology
- Context (archaeology)
- Traffic congestion
- Field (mathematics)
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.