Parking Fee Monitoring Smart Vehicle

With the support of artificial intelligence, the city of Pilsen has decided to use new modern technologies in the project of a smart vehicle monitoring parking fee. The city will use the vehicle as an additional way of parking control. Testing is taking place in parking zone A and after, it will move to zone B. In the future, the operation of the car will be extended to the remaining parts of the city. The vehicle was purchased by the Pilsen City Transport Company (www.pmdp.cz), technical support for the system is provided by SITMP, IT company of the City of Pilsen (www.sitmp.cz).

Aims of the project:

• To streamline the parking control system (with regard to the expansion of paid parking zones and the related favouring of residents).
• To allow the municipal police to redeploy officers to other activities.

Results of the project:

• Faster and more effective detection of illegally parked vehicles (parking without a permit, in residential zones, at an intersection, at a bus stop, etc.).
• More frequent checks on compliance with the minimum time to purchase a permit.
• Data processing directly in the vehicle using an on-line connection via a data card.
• Verification of the actual condition of the road and can report irregularities (missing traffic sign), thanks to the data from the GIS of the City of Pilsen.
• Comprehensive statistics of the sections driven.
• Data storage for subsequent analysis of the parking status while respecting the anonymisation of the registration marks.

The control system in the Nissan NV 200 electric car is monitored by two computers. The system is completely autonomous without the need for a technician. The only person in the vehicle is the driver, who drives the pre-defined route. The engineers have placed six cameras on the car (four on the driver’s side, two at the rear), which capture the registration plates on both sides of the road. The system also includes a GPS antenna for precise location identification. The necessary traffic inputs were obtained from the Geographic Information System (GIS) of the city of Pilsen, including descriptions of road sections, their lengths and types, and descriptions of road signs and their locations.

In-vehicle systems use artificial intelligence to evaluate which vehicles or motorcycles do not have paid parking fees and send the data to the municipal police. The processor (the officer) checks the sent images and evaluates whether they are conclusive for the preparation of a notice of suspected traffic violation. If everything is all right, the file is sent electronically by data transmission to the competent administrative authority, which in these cases is the Department of Administrative Activities of the City of Pilsen. The owner of the vehicle will receive the information about the offence to a databox or mailbox.

• effective control
• quicker detection of the offence
• analysis of the parking situation

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