Hybrid heuristic algorithm-based public bicycle dynamic scheduling method
A public bicycle and hybrid heuristic technology, applied in the field of urban intelligent public transportation systems, can solve the problems of insufficient algorithm solution efficiency, imperfect dispatching strategy design, and poor dispatching algorithm solution efficiency, etc., to achieve less calculation time and satisfactory The effect of high degree and good scheduling effect
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[0115] In this section, 20 data samples are designed to be used for experiments. The format of the experimental data is shown in Table 2. The experiment requires data to provide information such as the location of the dispatch center, the coordinates of multiple public bicycle stations, the dispatch amount of each station, the corresponding time window for dispatch and the total parking space.
[0116] Table 2 Description of experimental data format
[0117]
[0118] The important parameters of the model and algorithm are set as follows: T co = 21:00, c p =0.6(RMB / KM), t ij =150*d ij , E i =a i -120, f i = B i +120, T ac = 20 (minute), c w = 0.3. The length of the time slice is set to 15 minutes, and the capacity of the transporter is set to carry 30 bicycles. According to time limit rules: f i ≤T ac +now, dynamic demand information will be given in turn.
[0119] The results of the algorithm by testing 20 samples are shown in Table 3. The simulation time for testing is 25 min...
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