Imagine the power of having every aspect of your transit system — and every user, from riders to maintenance staff to administrators – connected by compatible hardware and software.
The latest fare collection technology has potential for our industry that we’re just now realizing. The smart hardware and software it requires is readily available; we just need to catch up in learning how to make the most of it. Some of the many benefits that IoT empowers in public transit include:
- More informed data-driven decision making such as route optimization and ridership outreach
- Prediction of outcomes for proactive service such as maintenance of hardware or vaulting scheduling
- Identification of new opportunities such as targeted fare structures for students or seniors or organizational partnerships with institutions and employers
- Distributed and controlled access to cloud-based data across users and devices
- Monitoring of infrastructure and asset tracking for safety, security, and efficiency
- Remote installation of software updates, fare structures, and security patches
- Future-proofing to embrace new technologies without disrupting the current systems
Transit Technology - Our whitepaper and case studies
The solutions that can help with data collection and monitoring to make these data-first decisions are available today and are likely compatible with the technology transit agencies already have in place. When on-site technology is able to do the data gathering, put it all in one place, and aid agencies in efficient analysis and reporting, that’s powerful. We believe agencies are now on the cusp of collecting and using data in a more responsive way that better serves all potential riders.
Transit technology blog posts
Today’s world is run on information, and as an industry, we need to get on board with this. When it comes to using data to make decisions that impact operations, cost savings, or route analysis, agencies are still behind the times compared to other data-driven industries. The technology we need to shift to data-driven transit planning is readily available, and in many cases, data is already starting to be collected.
