transPEAKtation Predicts Traffic Congestion Before Events End to Reroute Drivers

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A team of four developers built transPEAKtation, an event-aware traffic routing platform designed to predict congestion before it forms rather than after it has already set in. The platform ingests real-time and historical transportation data from sources such as DataSF, Caltrans, and CHP, combining it with upcoming event schedules, road incidents, and street closures. When a user plans a trip, the system factors in anticipated crowd movement — for instance, flagging roads near a concert venue that will likely face heavy traffic when the event ends. Rather than directing all drivers to the same fastest route, transPEAKtation aims to distribute demand intelligently across multiple viable paths to prevent any single route from becoming overloaded. The project was submitted as part of the MLH x DEV Writing Challenge, and the team is continuing to develop features including community-submitted data and direct event publishing by organizers.

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