Artificial intelligence and generative AI, such as ChatGPT, in transportation: Applications, technologies, challenges, and ethical considerations

Abstract

The transportation industry is undergoing a major transformation driven by artificial intelligence (AI) and generative AI technologies, delivering new solutions to several traditional problems of the transport industry including congestion, security, and environmental concerns. This study examines key areas that highlight the transformative impact of AI on transportation: Features may include AI traffic control, predictive maintenance, optimal maintenance across infrastructures, self-driving automobiles, reinforcement of public transport systems, smart freight and shipping, natural language processing for customer care services, safety improvement through AI, and sustainability solutions. The incorporation of generative AI technologies, such as ChatGPT, encompasses a notable breakthrough particularly within urban environments. This review presents various uses of generative AI in transportation, that is, conversational agents for passengers, predictive maintenance, improved security measures, and efficient traffic control. Automated customer service chatbots help passengers book tickets online, select routes, and receive real-time information, increasing satisfaction. Predictive maintenance identifies potential breakdowns, enabling proactive corrective measures. However, it is important to note that AI incorporation presents ethical considerations, including fairness, data protection, privacy, and the prevention of biases.

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