Development of an Intelligent System for the Recommendation of the Most Suitable Routes for Pedestrians

Abstract. This study introduces an innovative approach to urban mobility through the development of an intelligent platform for smart cities. The platform leverages social media engagement to gather citizen insights about urban challenges, particularly focusing on pedestrian mobility and safety in District 6 of Tehran municipality. By encouraging users to discuss city problems, the system will collect valuable data on user preferences and experiences. The platform will utilize this crowdsourced information to provide personalized routing services that reflect the community's needs and concerns. Since the platform currently does not have active users, so a structured questionnaire was distributed to 100 participants to assess factors such as perceived safety, lighting conditions, and sidewalk width. This data was then integrated into a web-based public participation system, emphasizing the crucial role of citizen input in urban planning. Routing algorithms, including A* and Dijkstra's algorithms, were employed to identify optimized pedestrian routes based on the community feedback. Preliminary results suggest that these community-informed routes outperform conventional navigation systems, such as Google Maps, in addressing local conditions and user preferences. The platform not only enhances pedestrian experiences by prioritizing safety and accessibility but also demonstrates the potential of active citizen engagement in shaping urban environments. This approach represents a significant step towards creating more responsive and user-friendly smart cities, where citizen input directly influences urban services and planning decisions.