Method for judging urban vehicle supply and demand relationship based on vehicle position statistics and monitoring system thereof

Abstract

The invention provides a method for judging urban vehicle supply and demand relationship based on vehicle position statistics and a monitoring system thereof. The method comprises the following steps:dividing an urban road into a plurality of predetermined position ranges; obtaining the number of parked vehicles and the parking time in a plurality of predetermined position ranges, and the effective order number and the order generation time in the plurality of predetermined position ranges; taking the historical effective order quantity in the corresponding predetermined position range as theroad demand quantity; taking the historical parking vehicle quantity in the corresponding preset position range as a road supply quantity; and judging the vehicle supply and demand relationship in the corresponding predetermined position range based on the difference between the road demand and the road supply amount in the corresponding predetermined position range. According to the method and the monitoring system provided by the invention, the vehicle supply and demand relationship in the corresponding preset position range can be accurately obtained based on vehicle position statistics, so that advanced arrangement and prediction can be carried out for artificial intelligence vehicle moving, scheduling and the like, the vehicle utilization rate is improved, and the maximization of vehicle operation income is achieved.

Description

【Technical field】 [0001] The invention relates to judging the relationship between supply and demand of urban vehicles, in particular to a method for judging the relationship between supply and demand of urban vehicles based on vehicle location statistics and a monitoring system thereof. 【Background technique】 [0002] With the rapid development of urban traffic, people's travel needs are increasing. The widespread use of shared vehicles has provided people with a new way of daily travel and brought great convenience. However, due to differences in the direction of the flow of people, the distribution of personnel, and the different habits of users, it is easy to cause a local oversupply of shared vehicles, or a problem that the supply exceeds the demand. [0003] In order to solve these problems and further improve the efficiency of vehicle operation so as to maximize the utilization rate of shared vehicles, the existing solution is to solve these problems through vehicle ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the current problem of large amount of computation and low accuracy in judging vehicle supply and demand, the present invention provides a method and monitoring system for judging the relationship between urban vehicle supply and demand based on vehicle location statistics

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