Traffic Congestion Monitoring

    IoT-Enabled Traffic Congestion Monitoring
    Illustration: © IoT For All

    Traffic congestion monitoring uses IoT-enabled sensors or drivers’ mobile phones to track and predict traffic patterns, in order to reduce overall traffic congestion.

    Idling in traffic jams is costly and terrible for the environment and as the population grows, infrastructure struggles to keep up. In 2018, American drivers lost 97 hours sitting in traffic, costing the country $87 billion in time and gas at an average of $1348 per driver. 

    Traffic congestion monitoring solutions allow cities a high-level view of traffic congestion trends, enabling them to better plan solutions or changes to infrastructure.

    Traffic congestion monitoring solutions can use cameras and AI or machine learning technologies to count cars on the road and identify traffic congestion. Much like existing navigation products, solutions can use apps on drivers’ smartphones to identify concentrations of users.

    Key Benefits of IoT-Enabled Traffic Congestion Monitoring

    • Monitor congestion patterns to identify changes and track improvements against infrastructure and policy changes.
    • Better inform decisions on road and infrastructure improvements