Generative AI for Internet of Vehicles (IoV): Potential and Challenges

Technological advances help develop urban environments with intelligent transportation systems that reduce traffic problems and improve road safety. The emergence of technologies such as cloud computing, the Internet of Things, and advances in wireless communication technologies caused Vehicular Ad-hoc Networks (VANETs) to evolve into a new concept known as the Internet of Vehicles. The IoV environment generates and shares enormous amounts of data in real time, requiring technologies to process and analyze this information quickly and accurately. This article discusses how generative AI can assist the IoV, describing how they can collaborate and highlighting some applications that would benefit. To determine the benefit of using AI to perform data analysis in traffic conditions and improvement of traffic flow, we compared the results of two generative artificial intelligences (ChatGPT and Gemini) to optimize traffic lights in a route with different weather conditions using a traffic dataset to get the best response. While both platforms successfully reduced travel time, Gemini’s more detailed analysis yielded more significant improvements by addressing the unique characteristics of each traffic light and the specific route conditions.