Planning & network optimization

Model scenarios, measure equity, and see how rider journeys change—before you commit service to the street.

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Design more accessible networks.

A unified planning ecosystem that puts data at the forefront of decision making.

Quantify impacts on priority communities

Use AI and machine learning to predict how planned changes affect access where outcomes matter most.

Title VI and access, without delay

Run Title VI and transit access workflows in minutes, not weeks, while keeping analysis tied to the scenarios you’re testing.

Fixed-route and on-demand, planned together

Design integrated networks in one platform so modes, transfers, and coverage tradeoffs stay connected.

Better transfers, better trips

Optimize timed connections at key stops to reduce waits and missed transfers across the journey.

Spatial analysis that supports hard decisions

Layer travel-cost burden, walksheds, and other spatial views so tradeoffs are visible beyond the map sketch.

Seattle’s King County Metro used Remix Ridership Modeling to redesign over 20 bus routes. By predicting rider behavior across multiple scenarios, they implemented a plan that cut wait times by ~10% and boosted ridership by ~15%.

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Build consensus. Fast.

Publish changes, collect feedback, and keep stakeholders aligned.

Collaborate in the same plan everyone sees

Work together in real time with comments tied to what changed—so feedback stays actionable.

Track, plan, and communicate disruptions

Easy-to-use map-based tools to publish disruptions, automatically update riders’ routes, and create public-facing detour maps for websites and social media.

Planning context, built in

Choose from hundreds of data layers so you spend less time assembling base maps and more time improving service.

GTFS that matches what you intend to run

Export accurate, Google-ready GTFS for riders, operations, and scheduling—one source of truth across teams.

Rewrite your public transit narrative.

How to grow ridership amidst budget pressure.

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Powerful AI for efficiency.

Use AI to spot where service can run smarter—before schedules and budgets lock.

Runtimes for roads you haven’t served yet

Predict runtimes on alignments where buses haven’t run—so plans are credible before day one.

Demand insight rooted in real movement

Use anonymized, aggregated real-time information to see where trips start, where they end, and how riders travel.

AI Powered Ridership Modeling

Run routing across scenario to generate realistic journey options—and which paths riders are likely to choose.