Since their introduction into the transportation landscape, ride sharing companies such as Uber, Lyft, Gett, and MOIA have changed the way travel is viewed for an entire generation of riders. Filling a gap in the industry left by traditional public transportation and private vehicle ownership, ride sharing services are set to be a focal part of the transportation landscape of tomorrow. Their impact is already being seen today, with new buildings in cities like Chicago already accounting for people arriving through ride-share by reducing the number of parking spots made.
A large part of what makes fleets of ride share cars so powerful is their ability to gather large amounts of data over a long period of time. The data gathered includes that of routes traveled, time in transit, popular destinations/starting points, vehicle condition, and more. This is possible thanks to advancements in vehicle connectivity, allowing tire pressure monitors, GPS modules, and Electronic Control Units to send their data to a backend server through cellular networks and Wi-Fi.
Of particular use to fleet owners seeking to manage their vehicles is the diagnostic data that can be collected from the different components in the vehicles. Dashboard alerts that can sometimes be missed by drivers can be foregone in favor of direct notifications to the fleet management server, alerting the owner of the vehicle more effectively. This data can also be analyzed over long periods of time, and through the use of analytical algorithms pre-emptive maintenance can be applied, saving time and money by detecting potentially costly faults ahead of time.
With the ability to gather data from millions of vehicles at once, the mobility of the future will continue to be refined, leading to new innovative smart mobility solutions. With the efficiency provided by car-pooling-based ride sharing services, the transportation of tomorrow is set to improve the environment, human work rate, and overall community productivity.