Many small to mid-sized public transit agencies are sitting on a treasure trove of data from a variety of hardware and software sources. However, most do not have the capabilities to extract value from that data to gain insights into past, present, and future ridership demand and make meaningful projections.
Leveraging AI/ML to Improve Public Transit Equity, Access, and Operational Efficiencies
Public transit has struggled to retain passengers in North America for many years, while in Europe it has proven to be a fundamental public good. This divergence in the role of public shared mobility versus private individualized mobility has reached a tipping point during the COVID pandemic.