Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
AI-Based Adaptive Signaling for Traffic Control Around Roundabouts
In the cities, car accidents are rapidly increasing, and many car accidents happen on the roundabouts. Usually, the driver’s negligence in checking the left side before entering the roundabout causes an accident in the roundabout. Therefore, a robust and reliable system needs to be implemented as an effective solution for this problem. We propose an artificial intelligence-based roundabout traffic control system (ARTCS) to assist drivers near roundabouts. The proposed system is based on Artificial intelligence to detect the car from the left side of the roundabout and notify the driver. The system controller records a video of the roundabout movements through the camera to detect cars using a trained neural network. Once a vehicle has been detected at a predefined distance, it notifies the driver if it’s safe to enter the roundabouts using signaling lights that shows red light for stop and a green light for passing. The proposed solution provides many benefits, such as reducing car accidents, decreasing time delay in a roundabout, increasing fuel efficiency, and saving public properties.
AI-Based Adaptive Signaling for Traffic Control Around Roundabouts
In the cities, car accidents are rapidly increasing, and many car accidents happen on the roundabouts. Usually, the driver’s negligence in checking the left side before entering the roundabout causes an accident in the roundabout. Therefore, a robust and reliable system needs to be implemented as an effective solution for this problem. We propose an artificial intelligence-based roundabout traffic control system (ARTCS) to assist drivers near roundabouts. The proposed system is based on Artificial intelligence to detect the car from the left side of the roundabout and notify the driver. The system controller records a video of the roundabout movements through the camera to detect cars using a trained neural network. Once a vehicle has been detected at a predefined distance, it notifies the driver if it’s safe to enter the roundabouts using signaling lights that shows red light for stop and a green light for passing. The proposed solution provides many benefits, such as reducing car accidents, decreasing time delay in a roundabout, increasing fuel efficiency, and saving public properties.
AI-Based Adaptive Signaling for Traffic Control Around Roundabouts
Ali Almansoori, Bakheeta (Autor:in) / Saif Almansoori, Salma (Autor:in) / Almansoori, Humian (Autor:in) / Ahmed Almansoori, Raeesa (Autor:in) / Ahmed, Irfan (Autor:in) / Shahid, Khalil (Autor:in)
21.02.2022
1684741 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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