An independent Carnegie Mellon University spin-off
QureTraffic turns low-cost data into traffic forecasts and anomaly alerts. QureSim makes scenario exploration accessible, with results in minutes from a prepared baseline. Intelligence for the decisions your network needs.
Traffic conditions, emerging anomalies, and the forecast ahead in one operational view.
Traffic intelligence built on low-cost data. Explore current conditions, forecasts, and anomaly alerts in the dashboard, and connect them to your systems through APIs.
The decision: where to focus attention and which response to consider.
Explore QureTrafficExplore transportation scenarios without a technical modeling background. Start with a calibrated baseline prepared by MobiliDi, then run and compare alternatives in minutes.
The decision: which alternatives merit closer evaluation.
Explore QureSimCompare baseline and scenario conditions through the simulation timeline to understand where impacts occur and how they evolve. Explore closures, tolling, transit, disaster response, detours, events, and parking, with no fixed limit on the number of scenarios.
See the QureSim walkthrough
A road-closure scenario compared with its baseline. These are modeled example results, not measured customer benefits. Closure settings apply throughout the simulation.
QureTraffic’s first client, with a prediction relationship dating to 2018.
When incidents on I-79 or the Pennsylvania Turnpike divert traffic onto local roads, Cranberry Township needs to consider what may happen next. QureTraffic provides a short-term traffic outlook to support that assessment.
Cranberry’s public presentation describes its traffic prediction experience and does not imply endorsement of MobiliDi.ai.
The SCAG application uses regional dynamic traffic assignment to examine passenger and freight movement, with corridor, managed-lane, and tolling scenario comparisons.
Explore the SCAG applicationFrom traffic prediction in Cranberry Township to API deployment for Pinellas County and regional scenario modeling in Southern California, our experience connects transportation research with the work of operators and planners.
Meet MobiliDi.aiRequest a guided demo, then discuss the scope of a deployment or modeling engagement.
