Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (3): 371-378.
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LI Mingming
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Abstract: In order to solve the problem of difficult to borrow bicycles during the rush hour of the public bicycle system,and improve the operating efficiency and user satisfaction of the public bicycle system,the operation of the existing public bicycle system in a certain city was used as the research object. The borrowing and return rules of the system analyze the operating characteristics of public bicycles,study the time characteristics and turnover characteristics of public bicycles,and provide a data basis for the establishment of scheduling models. Finally,a better public bicycle scheduling model is established through the ant colony algorithm. The ant colony algorithm,establishs a static dispatching route optimization model,and obtains the optimal dispatching route for dispatching vehicles. Thus,the problem of difficult to borrow bicycles during peak hours is effectively solved, reducing the time required for dispatching and improving work efficiency.
Key words: public bicycles, scheduling model, distribution characteristics, turnaround characteristics, ant colony algorithm
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LI Mingming. Public Bicycle Operation Analysis and Scheduling Model Based on Big Data[J].Journal of Jilin University (Information Science Edition), 2020, 38(3): 371-378.
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