Tourism,as an activity that satisfies people's desire for diverse life experiences and knowledge,has had profound impacts on the economy,culture,and other fields.However,with the rapid development of technologies,such as the Internet of Things and multimodal large language models,traditional tourism is unable to meet the de-mand for intelligent and personalized travel experiences.To address this,this paper proposes an interactive personal-ized tourism service system based on the concept of parallel intelligence,utilizing the ACP approach and multimodal large language models.The system constructs a comprehensive tourism model and leverages retrieval-augmented genera-tion and multi-agent collaboration systems to create a new paradigm for personalized tourism services.Additionally,this paper explores the application ecosystem of parallel tourism,expanding the tourism ecosystem from four aspects:cloth-ing,food,accommodation and transportation.This paper analyzes the integration of other industries with personalized tourism services.Parallel tourism is poised to bring new possibilities for the development of the tourism service industry.
parallel tourismparallel systemsACP approachmultimodal large language modelsretrieval-augmented generationmetaverse
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