Movement Detection Sensor Application for Traffic Direction Monitoring in Smart Street Lighting Systems

Tetervenoks, Oļegs; Avotiņš, Ansis; Apse-Apsitis, Peteris; Adrian, Leslie R.; Vilums, Rolands

doi:10.1109/rtucon.2018.8659850

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…The application of radar sensors is also studied to develop a low-cost street lighting smart system [10]. This research is devoted to intelligent lighting systems, especially street lighting systems.…”

Section: Introductionmentioning

confidence: 99%

Device and Algorithm for Vehicle Detection and Traffic Intensity Analysis

Gorobetz

Potapov

Korneyev

et al. 2021

Electrical, Control and Communication Engineering

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To 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.

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Section: Introductionmentioning

confidence: 99%

Device and Algorithm for Vehicle Detection and Traffic Intensity Analysis

Gorobetz

Potapov

Korneyev

et al. 2021

Electrical, Control and Communication Engineering

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“…The system consisted of an infrared sensor used to detect moving objects. The data from the sensor were processed with an amplifier before inserted into the microcontroller [14]. Traffic lights scheduling for pedestrians and vehicles was examined by Zhang.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Crossing Safety System at Traffic Lights based on Decision Tree Algorithm

Hardiyanto¹,

Iswanto²,

Sartika³

et al. 2019

IJACSA

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Pedestrians are one of the street users who have the right to get priority on security. Highway users such as vehicle drivers sometimes violate the traffic lights that is endanger pedestrians and make pedestrians feel insecure when crossing the street. Based on this problem, a tool is designed to provide a warning for the drivers or riders violating the traffic lights and prevent traffic accident by spraying water. The system is able to detect traffic violation based on changes in the value of the vehicle position on the stop line obtained from the Ultrasonic HC-SR04 sensor. When a violation is detected, a decision tree algorithm turns on the pump to spray water to the traffic violators as a deterrent effect. The results show that the vehicle located closest to the sensor has 94% precision, 88% recall and 85% accuracy, the vehicle located in the middle has 73% precision, 100% recall, and 75% accuracy, and the vehicle located furthest to the sensor has 75% precision, 100% recall and 80% accuracy.

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