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AI for Good Innovate for Impact



                   Use Case 5: Intelligent In-Vehicle Scenario Orchestration Agent

               System                                                                                              Transport  4.10: Intelligent












               Country: China

               Organization: Chongqing Changan Automobile Co. Ltd.

               Contact Person: Yonggang Luo(luoyg3@ changan .com .cn)


               1      Use Case Summary Table


                Item               Details
                Category           Intelligent transport

                Problem Addressed Traditional vehicle control configuration processes are cumbersome, frag-
                                   mented, and heavily reliant on professional knowledge, requiring users
                                   to invest significant time and effort to complete tasks.

                Key Aspects of Solu- The system leverages large language models to accurately recognize
                tion               and understand user intentions. It automatically generates logical chains
                                   containing “preconditions”, “triggers”, and “executions”, significantly
                                   improving scenario orchestration efficiency and scalability.

                Technology         Large Language Models, Service Orchestration.
                Keywords
                Data Availability  Private

                Metadata (Type of  Text
                Data)              Input data: Chinese user intents
                                   Output data: Chinese and English car services

                Model Training and  SFT With approximately 20 million tokens of automotive domain data and
                Fine-Tuning        around 400,000 instruction tuning data.

                Testbeds  or  Pilot  TikTok Video [1]
                Deployments

                Code repositories  None



               2      Use Case Description


               2�1     Description

               Intended use: The system allows users to dynamically create and manage complex in-vehicle
               scenario modes, such as personalized climate control and entertainment settings, using natural






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