Research on Smart Tourism Oriented Sensor Network Construction and Information Service Mode

Area of Science:

• Computer Science
• Tourism Management
• Urban Planning

Background:

• Smart tourism is an integral component of smart city development.
• Advancements in computer and sensor technologies are crucial for enhancing public tourism services.
• Innovation in tourism public service models is needed to meet evolving demands.

Purpose of the Study:

• To propose a novel method for smart tourism using sensor networks and advanced analytics.
• To improve the efficiency of public tourism services and enhance the overall tourist experience.
• To integrate smart tourism with smart city initiatives for better urban management.

Main Methods:

• Deployment of sensor networks for data collection.
• Utilization of a modular cloud platform for data transmission and processing.
• Application of cluster technology and an Uncertain Support Vector Classifier (A-USVC) for location prediction and emergency event assistance.
• Incorporation of human trajectory analysis and interaction intensity for spatial dynamics validation.

Main Results:

• Development and deployment of a functional smart tourism system.
• Successful integration of sensor data with cloud platforms and AI algorithms.
• Validation of spatial dynamics and enhancement of tourist experience through trajectory and interaction analysis.
• Demonstration of the system's utility in assisting with emergency events.

Conclusions:

• The proposed system effectively leverages computer and sensor technology for smart tourism development.
• The integration of advanced analytics improves public service efficiency and tourist engagement.
• This approach offers an innovative pathway for the high-quality development of smart tourism within smart cities.