ChatGPT is on the horizon: Could a large language model be all we need for Intelligent Transportation?
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ChatGPT, developed by OpenAI, is one of the largest Large Language Models (LLM) with over 175 billion parameters. ChatGPT has demonstrated the impressive capabilities of LLM, particularly in the field of natural language processing (NLP). With the emergence of the discussion and application of LLM in various research or engineering domains, it is time to envision how LLM may revolutionize the way we approach intelligent transportation systems. This paper explores the future applications of LLM in addressing key transportation problems. By leveraging LLM and a cross-modal encoder, an intelligent system can handle traffic data from various modalities and execute transportation operations through a single LLM. NLP, combined with cross-modal processing, is investigated with its potential applications in transportation. To demonstrate this potential, a smartphone-based crash report auto-generation and analysis framework is presented as a use case. Despite the potential benefits, challenges related to data privacy, data quality, and model bias must be considered. Overall, the use of LLM in intelligent transport systems holds promise for more efficient, intelligent, and sustainable transportation systems that improve the lives of people around the world.
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