Miovision Adaptive
Miovision Adaptive adapts in real-time to changing traffic by optimizing traffic flows every second across not just arterials and corridors, but also complex urban grid networks.
Miovision Adaptive optimizes the performance of signals for the traffic that is actually on the road, improving traffic flow for both urban grids and corridors and leading to less waiting, less pollution, and happier drivers.
travel time
less time waiting
fewer harmful emissions
Intelligent Traffic Signal Control
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Optimize for multiple modes of travel, keeping vehicles, cyclists, pedestrians, and transit moving and safe
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Get people to their destinations 25% faster by eliminating stops, reducing wait time, and increasing travel speeds.
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Spend over 40% less time waiting at intersections.
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Make 30-40% fewer stops, decreasing wear on the road and tires and resulting in a cost savings for drivers and cities.
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Produce 20% fewer harmful emissions and improve air quality by reducing stops and idling.
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Source: Average improvement on initial Miovision Adaptive deployment in Pittsburgh, PA
The Most Advanced Way to Do Traffic Signal Control
Miovision Adaptive is a decentralized AI system that treats the intersection control challenge in a whole new way -- as a single machine scheduling problem that optimizes each intersection and then shares information with neighbor intersections to create coordination and control across whole networks.
- Real-time Response to Actual Traffic
Miovision Adaptive optimizes every second based on actual traffic flows - Decentralized & Inherently Scalable
Miovision Adaptive is decentralized and scalable to networks of any size & shape - Optimized for Complex Grids, Not Just Corridors
While Miovision Adaptive is capable of handling suburban corridors with a single dominant flow, it really shines when optimizing more complex grid networks with multiple competing flows that change throughout the day - Multi-modal Optimization
With advanced sensing, Miovision Adaptive can integrate vehicle, pedestrian, bus, and bicycle traffic flows according to pre-specified priorities - Integrated with Connected Vehicles
Miovision Adaptive exploits more accurate connected vehicle data and can use it to enhance mobility
Optimized for Multi-modal Traffic Flow
Miovision Adaptive is designed to optimize traffic for all modes of travel, including:
- Pedestrians
- Bicycles
- Transit
- Connected Travelers and Connected & Autonomous Vehicles (CAV)
Adapting in Urban Environments
In addition to arterials and corridors, Miovision Adaptive was specifically designed to optimize urban road networks, where traffic is complex, dynamic, and multi-modal. Miovision Adaptive coordinates traffic in grid networks and corridors for the way people actually move around cities and towns..
- Second-by-second optimization allows Miovision Adaptive to adapt quickly to unexpected congestion and/or reduced capacity
- All adaptation is decentralized and autonomous, as Miovision Adaptive optimizes based on current vehicle locations, not historical data
- Miovision Adaptive handles lane closures, double parked vehicles, and other sources of uncertainty in real-time
- Information about queues from downstream intersections (softpressure) allows Miovision Adaptive to avoid dumping vehicles into an already saturated link
- Miovision Adaptive has been deployed extensively in networks with tightly spaced intersection with narrow roads
Read the Peterborough case study
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