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.
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.
The AI-based system applies computer vision and machine learning technologies for real-time monitoring and analysis, to ensure the safety of railroad crossings.
Part of the company’s “Build Back Better” recovery program, the license helps agencies and operators recover from the impact of the COVID-19 pandemic and adjust to changes in ridership rates.
The first available offering from the companies is an automated solution that can improve the effectiveness of traffic lanes dedicated for public transit buses.
Twenty-five projects in 23 states will receive funding under the program.
To move residents through the city, only fully-autonomous, zero-emission vehicles will be allowed on the main thoroughfares.
The concepts of digital twins, urban modeling, resilience, circularity, smart urban spaces, and electric micro-mobility and microtransit...
Scheduling/planning tech, which most people think of as slow and complex software, is strategic to the future of public transportation.
Good shifts and rosters can improve driver retention, cost reduction, and passenger service.
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