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PL C

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    PL C commented  · 

    Waze currently alerts drivers when they are approaching a railroad/level crossing, which is great for safety but doesn't help with routing or traffic flow. I am proposing an evolution of this feature: integrating real-time, dynamic gate status to predict closures and optimize ETAs.
    How it works:
    Live Data Integration: Partner with regional rail infrastructure operators (e.g., Správa železnic) via APIs to track oncoming trains and crossing signals.
    Crowdsourced Fallback (The "First Car" Principle): If direct signal data isn't available, Waze can use the community. When a Wazer's speed drops to 0 km/h precisely at a known level crossing segment, the app marks the crossing as "Closed."
    Predictive ETA & Smart Rerouting: Over time, machine learning models can calculate the average closure duration for that specific crossing. If a driver is approaching a crossing that just closed, Waze can display a countdown timer or automatically calculate if rerouting to an underpass or bridge is faster.
    Benefits:
    Smoother Traffic: Prevents drivers from gridlocking local intersections while waiting for a train.
    Eco-Friendly: Drivers can turn off their engines if they know a gate will be closed for a significant amount of time (e.g., 5+ minutes).
    Driver Peace of Mind: Replaces the anxiety of an unknown delay with clear, actionable data.

    PL C supported this idea  ·