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MaaS Dynamic Bus Route Planning Method and Travel Optimization Method Based on Spatiotemporal Clustering

This invention discloses a MaaS dynamic bus route and station planning method and a trip optimization method based on spatiotemporal clustering. The MaaS algorithm based on spatiotemporal clustering, within a defined boundary area of ​​no more than 25 square kilometers, determines bus routes and stops based on existing public transport demand where both origin and destination are within this area, according to established spatiotemporal clustering rules. It then returns the determined bus routes, stops, and estimated arrival times to passengers using the planned bus routes and stops. The application of this invention maximizes the convenience of public transport, reduces unnecessary waiting time and connection distances, increases bus occupancy rates, reduces the probability of empty bus runs, and minimizes stops at unnecessary stops, thereby improving operational efficiency.
Owner:SHANGHAI URBAN CONSTRUCTION DESIGN & RESEARCH INSTITUTE (GROUP) CO LTD