Transportation planning
Scalable data for confident planning.
Plan smarter, faster, and cheaper.
Gain a complete picture of traffic flow, volumes, and travel patterns based on 365/24/7 passenger car probe data across entire road networks to power long-term infrastructure studies and decision-making.
Outdated or infrequent data collection
Many agencies still rely on surveys and manual counts that are five to 10 years old, which forces planners to work with a picture of their community that's already stale. Getting truly accurate, comprehensive data in a timely, cost-effective way remains difficult, so planners often fall back on outdated data or slow, assumption-heavy models instead of empirical measurement.
Balancing granularity with usable scale
Planners now have access to far more data sources and modeling methods than before, but picking the right models and matching them to appropriate data has become harder as options multiply. There's a persistent tension between fine-grained detail and the need for broader trend identification and scenario-level outputs that stay useful at a system-wide scale; too much granularity can bury the signal planners actually need for decisions.
Data quality, integration, and governance
Even when data is available, missing or invalid records can meaningfully degrade system behavior, leading to worse decisions and reduced traffic performance. On top of raw quality issues, agencies are wrestling with privacy, regulatory compliance, and integrating data across disparate systems while keeping sensitive transportation data secure; especially as more sources (passenger car probe data, sensors, connected vehicles) need to be fused into one coherent picture.
Our solutions
Origin-destination
- Self-serve interactive tools enable instant origin-destination analysis
- Custom sample expansion algorithm ensures better accuracy
- Support microscopic and macroscopic origin-destination studies
- Cover all road types
- Comprehensive origin-destination metrics and visualizations
Traffic volumes
- Self-serve interactive tools generate instant segment-based traffic volumes
- Estimates traffic volumes for all road types
- Annual, monthly, weekly, and daily average traffic volumes for mid-block counts and intersection turning movement counts (TMC)
- Custom model calibration based on local ground-truth data maximizes accuracy
Origin-destination studies
OD studies reveal where trips begin, where they end, and which routes connect them. The right collection method depends on your study area, budget, and accuracy requirements. Here is how the main approaches compare.
Method comparison at a glance
How the main OD study methods compare on the criteria that matter most for transportation planning.
| Capability | Roadside survey | ALPR | MAC address | Mobile data | Connected car (SMATS) |
|---|---|---|---|---|---|
| No hardware required | |||||
| No traffic disruption | |||||
| Complete route information | Partial | ||||
| No double counting of passengers | |||||
| All road types including local streets | Limited | ||||
| Privacy compliant, no personal data | |||||
| No network reliance | |||||
| Typical sample size | Low | High (camera-dependent) | 30–40% | Varies | 25–30%+ |
| Historical data available | If stored | If stored |
No field surveys. No hardware. OD analysis for any study area, available immediately in iNode.
Explore OD studiesVolume estimation
Network-wide traffic volumes calibrated to your local conditions using your own count data. The scale of probe data with the accuracy of ground-truth counts, without expanding your count program.
More data, more complete, more comprehensive
| Capability | Traditional counts | Standard big-data providers | SMATS iNode |
|---|---|---|---|
| Network-wide volume coverage | |||
| AADT and multi-year trend data | |||
| All road types and functional classes | |||
| No physical hardware deployment required | |||
| Local calibration, self-serve or as a managed service | |||
| Continuous model refinement as new counts are collected | |||
| Full control over model accuracy and timing | |||
| Calibration applied across all platform modules |
Want to learn more about Volume Estimation? Find out how local calibration changes accuracy across road types.
Explore volume estimationOur approach
Built for full data collection capabilities
When connected car data is unavailable in your area, TrafficXHub Bluetooth sensors are available to own or rent for OD and travel time studies.
Accurate vehicle counts
Connected car data is collected per vehicle, not per passenger. There is no mistaking passengers for separate vehicles and no double counting.
Complete route visibility
Visibility into complete travel routes even for small areas, thanks to high-frequency location ping intervals from connected vehicles.
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