Practical AI for Public Transit
Small and mid-sized agencies don't lack data — they lack the IT capacity to put it to work. We help your team unlock siloed data and ship AI-powered service planning and Title VI equity analysis that hold up to scrutiny and move with you, not against you.
Why Now
Three problems we hear from every small and mid-sized agency we talk to.
Siloed Data
CAD/AVL, GTFS, APC ridership, ACS demographics, and ERP rarely talk to each other.
Limited IT Capacity
Small and mid agencies can’t hire teams of data engineers or AI specialists.
Underused Data
Service-change scenarios and Title VI equity analyses are all possible — the data is just sitting there.
What We Offer
Two focused practices where AI-powered data tooling moves the needle on planning rigor, equity, and ROI.
Title VI Equity Analysis
Automate the data-heavy parts of Title VI compliance using your existing GTFS, ridership, and Census data. Turn what is usually a once-every-three-years scramble into a queryable, repeatable analysis you can re-run before any service change.
- Service equity analysis — frequency, span, and access by minority and low-income population
- Fare equity analysis for fare-change proposals
- Demographic ridership reporting against ACS and LEHD
- Before-and-after equity checks tied to specific service-change proposals
Service Planning
AI- and data-powered scenario tools for service planners. Model the ridership, equity, on-time-performance, and operational-cost impact of route changes, frequency adjustments, detours, or special events before you commit — built on the data you already collect.
- Scenario modeling for route, frequency, and span changes
- Ridership and on-time-performance forecasting from CAD/AVL and APC
- Operational-cost estimation tied to schedule blocks and revenue hours
- Equity overlay on every scenario, not as a separate study
Built by someone who's actually run these programs inside an agency.
LMAi Labs is led by Baofeng Dong — a tech program manager with 10+ years across Amazon, Confluent, and TriMet. At TriMet, Baofeng pioneered the tablet-based on-board rider survey program (~30% cost savings, 92% reduction in survey-to-insight lead time), deployed Fleetwatch and other Enterprise IT solutions, and saw firsthand where the data-and-IT gap holds small/mid agencies back.
He serves as a panel member on multiple FTA- and APTA-sponsored Transit Cooperative Research Program (TCRP) projects, guides consultants' work on those panels, and is a frequent presenter at local and national transit conferences.
Curious where AI could help your agency first?
A 15-minute call is usually enough to identify the one or two highest-leverage opportunities for your team. No sales pitch, no obligation.
Schedule a Call