Cyclist Traffic Light Sensors

The Spring Lab Flo Sensor Helps Cyclists Catch Green Lights

Any commuter, whether driver or cyclist, knows the pain of getting held up at red light after red light on the way to or from work, so the Spring Lab Flo sensors are designed to help alleviate that issue for cyclists. Placed at intervals about 120 meters from the nearest traffic light, the sensors give cyclists a heads up about how to continue if they want to catch the light while it's green.

The sensors measure each oncoming cyclist, and they then do a quick calculation based on the timing of the light. Spring Lab Flos are connected to the city infrastructure (and thus know the traffic light sequences). If cyclist's speed isn't enough to reach the green in time, the sensor will tell them to speed up. And if they're moving too fast and bound to hit a red, they're told to slow down.

Smart Traffic Light Sensors
There is an opportunity to further develop smart traffic light sensors to allow for more efficient traffic flow for all modes of transport.
Connected City Infrastructure
Developing more connected city infrastructure can lead to innovative solutions to common urban problems.
Active Transportation Technology
Innovation in active transportation technology can greatly improve the commuting experience for cyclists and pedestrians alike.

Industries Being Reshaped

Smart Cities
Smart cities can utilize this technology to enhance the safety of their cycling communities with better traffic flow management.
Transportation
Transportation companies can consider integrating this technology into their existing infrastructure to improve the efficiency and safety of cycling on their routes.
Cycling and Outdoor Recreation
Incorporating this technology into cycling and outdoor recreation products can enhance the user experience and safety of the activity.
SCORE
1.2 out of 10
GENDER
50% Men50% Women
MARKETTop markets: Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 11%
Activity 18%
Freshness 8%

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