This idea has a lot more potential. Once you have the data, you can obviously give the individual user the best alternative route if there is delay on the desir

This idea has a lot more potential. Once you have the data, you can obviously give the individual user the best alternative route if there is delay on the desired one. You can also use this proactively, similar to what "Google Now" does, to alert commuters in the morning how much longer their trip might take. You could even offer functionality to automatically adjust the phone's alarm clock. But you can take this even further than individual users and dynamically re-route passenger flows if enough of them are using the service. Say there is an interruption on a main commuter route, but several alternatives exist. Most people are now likely to choose the second best route. Since that route is unlikely to be able to handle the additional passengers, it will probably be jammed very quickly. However, using the RT passenger and situation data, it would be possible to find the globally optimal solution for load balancing the passenger flow. You can then provide the passengers via smartphone with individualised information regarding which route to take to implement this routing. I think this has a lot of potential for taking public transport to the next level by utilising existing capacities to the fullest extent and providing benefits to all passengers.