Public bicycles can effectively solve the “last mile problem” of urban traffic and improve its overall service level. However, current urban public bicycle systems have problems of “no bicycle” and “no parking.” To solve these problems, we analyzed the temporal and spatial characteristics of rental demands for the sites and the traffic zones, respectively, through demand and desire lines drawings. Then, based on temporal and spatial characteristics, public bicycle demands can be predicted through borrowed and returned rates, and a dynamic scheduling model is proposed based on the prediction data. Finally, taking one traffic zone as an example, a specific scheduling scheme is given.
Study on Scheduling Model Based on Temporal and Spatial Characteristics of Public Bicycles
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 703-712
02.07.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Origin-Destination Distribution Prediction Model for Public Bicycles Based on Rental Characteristics
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