A system and method for analyzing vehicle flow in gas stations based on vehicle action time

Abstract

The invention discloses a system and method for analyzing vehicle flow in gas stations based on vehicle action time. The system includes an inbound camera, an outbound camera, an edge computing device, a station-level server, a central server, and a mobile terminal. Through the collected video stream, it recognizes the license plate information of the vehicle, calculates the time required for refueling, and calculates the refueling time according to the set period T M The refueling time T of each vehicle that completes refueling within A The average value of the gas station traffic flow status is judged, and the gas station traffic flow status within the distance range is displayed through the mobile terminal. The invention can judge and display the current traffic flow of the gas station and the time required for refueling in real time, and the owner can check the congestion situation of the surrounding gas stations in real time through the mobile terminal, divert and guide the vehicles to be refueled, reduce the congestion of the gas station, and reduce the refueling of the car owner The waiting time reduces exhaust emissions, effectively improves the sales performance of oil products at oil stations with less traffic flow, and drives the sales of non-oil products.

Description

technical field [0001] The invention relates to the technical field of gas station vehicle flow analysis, in particular to a gas station vehicle flow analysis system and method based on vehicle action time. Background technique [0002] With the continuous increase of the number of domestic vehicles, especially the explosive growth of private cars, the daily travel and refueling of car owners has become a part of life. Every time when refueling, whether the gas station has oil products for their own vehicles and whether the gas station is crowded , Vehicle queuing situation, estimated waiting time for refueling, in the absence of data support, gas stations have used experience to judge in the past, lack of big data collection, and cannot present real-time information to the public through intelligent and digital means. Car owners provide a basis for judging their refueling needs, reducing queuing time and improving the efficiency of gas station traffic. With the development...

AI Technical Summary

Problems solved by technology

[0003] At present, the statistics of traffic flow in the market are basically based on the GPS data of AutoNavi and Baidu for data analysis. The accuracy is relatively low, and the area for gas stations is relatively small. There is no way to accurately calculate the actual refueling congestion at the station, and the technologies currently on the market cannot completely and accurately solve the above difficulties

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