Abstract
AbstractTo effectively manage the traffic flow in order to reduce traffic congestion, it is necessary to know the volumes and quantitative indicators of this flow. Various detection methods are known for detecting a vehicle in a lane, which, in turn, have their own advantages and disadvantages. To detect vehicles and analyse traffic intensity, the authors use a pulse coherent radar (PCR) sensor module. Testing of various modes of operation of the radar sensor was carried out to select the optimal mode for detecting vehicles. The paper describes a method for fixing vehicles of different sizes, filtering and separating the vehicle from the traffic flow. The developed vehicle detection device works in conjunction with signal traffic lights, through which traffic control takes place. The signal traffic lights, which have their own sensors and control units, communicate with each other via a radio channel; there is no need for cable laying. The system is designed to work on road maintenance sites. The paper describes the experimental data when testing on a separate section of the road. The experiment showed the advantage of traffic lights (cars passed the regulated traffic light faster) from the point of view of calculating the traffic flow over the normal traffic light operation. Reducing downtime in traffic jams, in turn, has a beneficial effect on the environmental situation, since at the moment internal combustion engines prevail in vehicles.
Highlights
The number of transport units in the large cities of the world is growing every year; the control and management of traffic flow is becoming more and more important
Given the problem to be solved, this paper investigates the suitability of radar sensors for vehicle detection in traffic intensity analysis system
This algorithm determines that after microcontroller receives the data on the serial port, it checks if the first byte of the message coincides with 0xCD
Summary
The number of transport units in the large cities of the world is growing every year; the control and management of traffic flow is becoming more and more important. In researching and developing such systems, scientists emphasise the importance of data on the composition of traffic flows. Sensors can be classified into two categories based on their location: intrusive and non-intrusive [6] Intrusive sensors, such as pneumatic road tube, inductive loop detector, magnetic or piezoelectric sensors are installed on pavement surfaces. Non-intrusive sensors, such as video cameras, radar sensors, infrared, ultrasonic, and acoustic array sensors are installed at different places on the roads They are more advanced than intrusive sensors and could detect much more parameters describing the vehicle and the actual situation on the road. Radar sensors achieve high ranges and measure the following parameters: direction of movement, speed, distance, and angular position of objects or persons These data provide relevant traffic information that contributes to greater safety and efficiency in road traffic. The developed system described in the paper is called the traffic flow detection and analysis system (TFDA) as a working name
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