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Vehicle sharing system's vehicle scheduling method

A car sharing and scheduling method technology, applied in the field of vehicle scheduling in a car sharing system, can solve problems such as unreasonable goals, sparse data, and complex parameter calibration, and achieve the effects of facilitating software implementation, eliminating imprecision, and realizing convenience.

Active Publication Date: 2017-10-10
TONGJI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical effect described in this patented technology lies between two main benefits - simplification of parameter values for easy calibrations and fast implementation time when solving problems or optimizing models through mathematical calculations. This results in improved efficiency compared to existing techniques that require multiple trial-and-error adjustments before achieving desired performance levels.

Problems solved by technology

This patents describes different systems that help manage cars sharing or rental spaces more efficiently. These systems have limitations due to their assumptions about human perceptions and goals. Additionally, there may be technical differences when considering how these systems work compared against each other's performance.

Method used

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  • Vehicle sharing system's vehicle scheduling method
  • Vehicle sharing system's vehicle scheduling method
  • Vehicle sharing system's vehicle scheduling method

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Embodiment

[0061] Such as figure 1 Shown, flow process of the present invention is as follows:

[0062] 1) Use a random process (Random Walk Model with Barriers) to simulate changes in site status, use historical order data for parameter calibration, and then calculate the probability of site failure;

[0063] 2) Use the failure probability to define the threshold, and then obtain the scheduling requirements of the station vehicles (this method is called "failure probability control method" here);

[0064]3) Comparing the current state of the site with the threshold value, the scheduling requirements of each site are obtained;

[0065] 4) Use the network flow model to optimize and solve the vehicle scheduling scheme and personnel task allocation scheme; the purpose is to ensure that as many stations in the network as possible work normally under limited resources;

[0066] 5) The scheduling model runs dynamically. When some changes occur in the system state, the current scheduling task...

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Abstract

The invention relates to a vehicle sharing system's vehicle scheduling method, comprising the following steps: 1) setting the station failure probabilities according to the historical scheduling data of each station and obtaining the corresponding thresholds; 2) using difference between the number of vehicles at each station where scheduling is completed and the threshold as the objective function for the scheduling model; setting constraints and priority settings; establishing the scheduling model; and resetting the thresholds for the events in need of re-optimization; and 3) solving the scheduling model to obtain the corresponding scheduling strategy. Compared with the prior art, the invention has the advantages that model assumption and parameters are a few, that the calibration is simple, and that the method is scientific and effective. The optimized model's object is reasonable, and can be conveniently realized and rapidly solved. The constraints of the model also meet the actual requirement.

Description

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Claims

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Application Information

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Owner TONGJI UNIV
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