The Rise of Smart Biking Technology
In the most recent men’s Olympic mountain biking race, a noteworthy shift in technology was highlighted by one of the announcers: the use of electronic shifters and AI-controlled suspension systems. These advanced systems automatically adjust the level of suspension according to the terrain and rider preference, a feature that's increasingly making its mark in competitive mountain biking.
Specialized S-Works Epic 8 and Flight Attendant
A prime example of this technology is the Specialized S-Works Epic 8. This bike is equipped with an adaptive suspension system known as Flight Attendant. According to Mountain Bike Rider, the S-Works Epic 8 is the first production bike to debut with the latest version of RockShox’s Flight Attendant AI suspension system. This sophisticated system uses sensors in various parts of the bike to create a comprehensive ride ‘picture’ and automatically switches between suspension modes.
How Flight Attendant Works
Flight Attendant comprises two primary components: a fork module and a rear shock module. The fork module sits atop a special Charger damper, and the shock module is built into the piggyback reservoir of a Flight Attendant-specific Super Deluxe Ultimate shock. These modules communicate wirelessly and decide whether the suspension should be in one of three settings: Open, Pedal, or Lock. The system relies on data from an array of sensors, including accelerometers and inclinometers inside the fork and shock modules, and a sensor within the crank spindle to detect pedaling.
Performance and Efficiency
This combination of sensors allows Flight Attendant to build a picture of the terrain and the rider’s pedaling input. The system automatically adjusts the suspension to the ideal setting, designed to firm up the suspension for better pedal efficiency on climbs and smoother terrain while allowing it to open up for descents and rough trails. The benefits are clear: Mountain Bike Rider notes that RockShox's claimed 1.8% speed improvement over a 90-minute event is likely an underestimation. The system managed to change modes far more frequently than manual adjustments, leading to significant performance gains.
The Future of AI in Biking
While current systems like Flight Attendant and Fox Live Valve showcase automatic control of suspension, the true potential lies in systems that can learn and adapt to a rider’s preferences. For instance, Shimano is developing a suspension system that riders can train, potentially utilizing machine learning to tailor suspension settings to individual preferences. Such technology could revolutionize not just competitive mountain biking but also enhance the everyday rider's experience.
Real-World Impact
The impact of these technologies on professional biking is evident. Riders like Nino Schurter have experienced substantial improvements in performance, as the system's frequent adjustments lead to better handling and speed. This technology is not just about making bikes faster but also about providing a smoother, more efficient ride, highlighting the symbiotic relationship between innovation and athletic achievement.
