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  1. Realtime driving directions based on live traffic updates from Waze - Get the best route to your destination from fellow drivers

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      Información de tráfico en tiempo real basada en las...

  2. 1 de ene. de 2024 · Real-time traffic monitoring systems are one of the most important factors that enable efficient traffic flow and enhanced mobility. Therefore, vehicles and drivers have always needed reliable and accurate real-time traffic information. Recently, various solutions have been proposed to solve the problems and concerns in traffic ...

  3. 1 de ene. de 2020 · This research proposes an IoT based system model to collect, process, and store real-time traffic data for such a scenario. The objective is to provide real-time traffic updates on traffic congestion and unusual traffic incidents through roadside message units and thereby improve mobility.

  4. IoT-Enabled Real-Time Traffic Monitoring and Control Management for Intelligent Transportation Systems Abstract: Advanced Internet of Things (IoT) technology has a profound impact on improving the intelligence level of intelligent transportation systems (ITS) and promoting the sustainable development of urban transportation.

  5. 10 de feb. de 2023 · A novel image processing method is proposed to extract statistics of vehicles passing through road intersections using low-cost cameras. The system uses YOLOv3, a deep learning algorithm, to detect and track vehicles, and calculates traffic flow information such as speed and direction.

  6. Learn how to monitor network traffic in real-time and gain visibility into data flows across hybrid environments. Compare the features, benefits, and drawbacks of the best network traffic monitoring software on the market.

  7. 4 de nov. de 2020 · This article presents a novel approach to automatically monitor real time traffic footage using deep convolutional neural networks and a stand-alone graphical user interface. The proposed system can detect queues, track stationary vehicles, and tabulate vehicle counts using state-of-the-art deep learning algorithms.