Residents want efficient and reliable transportation.
To promise these, public transportation authorities and operators mix up different modes of travel, ensuring that travellers get the best available option for each stretch of the journey.
Choosing the right mode highly depends on staying connected to the ever-changing needs of the users. This means constantly looking at data to offer seamless mobility.
But if there is an industry that churns out volumes of data every day, then public transportation would definitely be amongst the top. Big data presents a lot of opportunities which of course come coupled with challenges. Challenges that mostly come from data collection that precedes its uses and is often stored in different silos.
Public transportation authorities and Operators now find themselves looking at multiple lakes of data, swimming with diverse dimensions, which then leads to time wasted in decision making. And, sometimes the decisions, arrive when the original scenarios have changed.
Thanks to the advancement in location intelligence, going back in time and referencing volumes of historical data, merging data in silos and aligning it is now possible.
Arlas.city presents public transportation authorities and operators with a robust solution that scales with their data. They are able to easily and quickly dive into their aligned data for a unique analytical perspective of their entire network.