Monitoring traffic volume in a petrol station with PLC Arduino

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In this case, our client located in Tarragona, Spain, wanted to monitor the traffic of vehicles at his petrol station. In 2016, gas stations in Spain could only change the price of fuel once a day. Currently, each station tries to develop its own system to fluctuate prices according to customers' behavior.

Our customer therefore wanted to have a real-time study of vehicle traffic in his area to have solid data and have a market strategy based on the data collected.

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Today, service stations are not just places to fill your car with gasoline. They are centers that concentrate a very wide commercial offer of products and services for vehicles and occupants: refueling, restaurant, car wash services, workshop, supermarket, among others.

Knowing the behavior of the consumer in different periods of time, and on specific dates, allows service station managers to plan the commercial offer. This data acquisition allow the launch of special promotions or even adapt the price of fuels at key moments like weekends or the busiest hours on holidays.

The industrial automation solution proposed by Industrial Shields in this case adapts to the environment and uses wireless communication to collect and send the data to a server.

Traffic Volume in a petrol station with PLC Arduino

  Industrial PLC Arduino


The fuel company wants to know the average duration of the stay of the vehicles. Doing that, they can forecast specific moments where queues are generated to refuel, and when to make changes in the price of gasoline, among other utilities.

Our customer also wants to know the rate of vehicles accessing the service area without refueling. This is important to know, not only the vehicles that do not refuel, but also those that stop to consume at the bar or the store of the gas station. Using an industrial PLC to control this, it is possible to know the best time to promote products from the store, the cafeteria or the gas station.

The project has also planned to measure the volume of traffic that passes along the road in front of the service station every hour to compare data with customers' consumption.

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