SEMTOC is also a central hub for collecting, analyzing, and disseminating valuable traveler information, and maintains multiple databases for internal and external data.
A few minutes of improvement in response time could save a life or reduce delay significantly. It has been especially useful ahead of special events, such as sports, parades, and incremental weathers events. With three work shifts a day and 24/7 operations, it has been a critical tool for SEMTOC and first responder agencies to respond to incident and congestion events in a timely manner. The Michigan Department of Transportation’s (MDOT) Southeast Michigan Transportation Operations Center (SEMTOC) serves as a center of incident and mobility management for the state-owned roadways in the Metro Detroit region, in coordination with first responders including the Michigan State Police (MSP), local police departments, fire departments, and towing companies. How data from AI predictions can help emergency management plan and provide sufficient staff for traffic and weather events.How artificial intelligence (AI) neural network modeling can help traffic management systems predict when high risk events will occur.How historical data can be used to predict weather and incident management.Overview IN THIS CASE STUDY YOU WILL LEARN:
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