Smart Cars

Smart Cars, Connected Cars, Automotive, Traffic, eBikes, Smart Transport, Smart Parking;
Mobility - Aerospace & Airports, Marine, Rail & Stations, Automotive, Traffic.

  • Within cars
    • safety, brakes, engine, tires, radio-audio-video-infotainment, tionment,
  • Between cars
    • safety, distance, collision detection and prevention
  • Services-providers - with manufacturer, dealers, remote diagnostic technologies, telemetry
  • At home
    • Communications with Smart Home - transfer of radion listened to, turn on/off lights, HVAC
  • Parking - find space, payments
  • Other transportations
    • arrive on time to airports, harbors, trains, ... consider traffice in between, delays/changes in schedule of next means of transportation

 

Formula 1

In some regards, one can compare Formula 1 with space research and other forms of advanced cutting-edge technology area, technologies are - yes - cutting edge and costly but parts are eventually trickling down to more regular use.

As example, consider Global Positioning System (GPS) which for a long time both required quite expensive equipment and included limitations for non-military use. Today, every smart phone and many smart watches/fitness monitors include GPS at low added cost. And with remarkable precision.

Some kind-of fascinating facts around Formula 1 (src):

  • Two types of sensors and actuators – the ones used
    • to directly control the car, and
    • to monitor operations for setup and optimization.
  • As indication of magnitudes: area of 500 different sensors, more than 1000 points of data per second
  • Data logged in real time
  • Data transfered back to home base, data center, (many in the UK) in about 300ms, thousands of miles away
  • Hundreds of GB of data stored during a race weekend
  • Obviously wireless communication from car to pit but consider that - requires pretty good technologies!
  • Data center in pit (locally) only a small portion, 1:100 proportions - 1 local person, 100+ in data center
  • The network is critical.
    • 1 of 6 in data center focuses not on data per se but the transmission thereof, network guys and gals.
  • The margins are ultra-thin and problems in network or data analyses looses races.