The Role of Artificial Intelligence in Safety Assessment Across Various Transport Modes
Author(s): Priyanka Yadav¹, Madhuri Gehi²
Affiliation: 1,2Institute of Business Management and Research, IPS Academy, Indore, India
Page No: 1-9-
Volume issue & Publishing Year: Volume 2 Issue 3,March-2025
Journal: International Journal of Modern Engineering and Management | IJMEM
ISSN NO: 3048-8230
DOI:
Abstract:
Recent studies in transportation safety put emphasis on the usage of extensive data through intelligent systems to scale down the accidents among users. Numerous applications of Machine Learning (ML) and Artificial Intelligence (AI) have been created to tackle safety challenges and enhance the efficiency of transportation systems. Despite some limitations in knowledge exchange across different transport modes, this paper explores the application of machine learning (ML) and artificial intelligence (AI) techniques in road, rail, maritime, and aviation transport to enhance safety. The study aims to identify best practices and experiences that can be adapted across these sectors. The methodologies examined include statistical and econometric techniques, algorithmic strategies, classification and clustering methods, artificial neural networks (ANN), as well as optimization and dimensionality reduction approaches. Findings reveal a growing interest among transportation researchers and practitioners in leveraging AI for crash prediction, incident and failure detection, pattern recognition, driver/operator assistance, route optimization, and problem-solving. Among the most used and effective techniques across all transport modes are ANN, Support Vector Machines (SVM), Hidden Markov Models, and Bayesian models. The selection of analytical methods largely depends on the specific safety assessment objectives. Notably, the road transport sector exhibits the broadest range of AI and ML applications and a significantly higher and continuously growing volume of research compared to other transport modes.
Keywords:
Artificial Intelligence, Transportation, Safety.
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