Gas station traffic flow analysis system and method based on vehicle action time

Abstract

The invention discloses a gas station traffic flow analysis system and method based on vehicle action time. The system comprises an inbound camera, an outbound camera, edge computing equipment, a station-level server, a central server and a mobile terminal. The method comprises the steps of acquiring video streams, identifying license plate information of vehicles, calculating the time required for refueling, judging the traffic flow state of a gas station according to the average value of the time TA required for refueling of each vehicle completing refueling in a set time period TM, and displaying the traffic flow state of the gas station in a distance range through a mobile terminal. The current traffic flow condition of the gas station and the required vehicle refueling time can be judged and displayed in real time; a vehicle owner can check the congestion condition of surrounding gas stations in real time through the mobile terminal, flow of vehicles to be refueled is guided, thecongestion condition of the gas stations is reduced, the refueling waiting time of the vehicle owner is shortened, tail gas emission is reduced, the sales performance of oil products in the gas stations with less traffic flow is effectively improved, and the sales of non-oil products is promoted.

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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