GITNUXSOFTWARE ADVICE
Business FinanceTop 10 Best Traffic Counting Software of 2026
Ranked roundup of traffic counting software tools, comparing features and limits for planning teams, with examples like GoodVision, INRIX, Rekor.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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GoodVision Video Insights is the best fit when your traffic team needs repeatable, fixed-camera video counts for interval reporting, whereas INRIX suits GIS-first agencies that want consistent volume and speed outputs for recurring operational reporting.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
GoodVision Video Insights
Detection-zone configuration for intersection-style counting from video scenes, with scheduled interval exports for traffic analysis.
Built for fits when traffic teams need repeatable video counts for fixed camera locations and interval reporting..
INRIX
Editor pickRoadway-segment and intersection context that keeps counts and speed aligned across repeated reporting cycles.
Built for fits when GIS-first agencies need consistent traffic volume and speed outputs for recurring operational reporting..
Rekor
Editor pickAutomated count generation from video scenes mapped to specific roadway segment or intersection count locations.
Built for fits when agencies need automated video-based vehicle counts feeding time-of-day reporting..
Related reading
Comparison Table
GoodVision Video Insights
vertical specialistAI video analytics software counts vehicles, pedestrians, cyclists, and traffic movements from camera footage.
Detection-zone configuration for intersection-style counting from video scenes, with scheduled interval exports for traffic analysis.
GoodVision Video Insights is built around video traffic detection workflows that map detection regions to count outputs. Configurations cover vehicle presence over time, per-interval volume profiles, and structured results intended for downstream traffic analysis. Automation is centered on repeating the same camera setup across scheduled count windows to reduce manual rework.
A key tradeoff is that accuracy depends on camera placement, scene clarity, and zone calibration discipline. GoodVision Video Insights fits best when a team needs repeatable turning-movement style counts from fixed or managed camera positions rather than hardware-agnostic data ingestion.
- +Video detection zones map directly to roadway and intersection counting
- +Repeatable count windows support recurring traffic count surveys
- +Time-of-day volume outputs fit peak-hour analysis workflows
- +Exports integrate with GIS and reporting pipelines
- –Scene illumination and camera angle can require frequent zone tuning
- –Accuracy validation workflows take effort when scenes change
- –Advanced classification depth can lag specialized axle or LPR systems
- –Multi-site governance needs careful configuration standards
Transportation planners
Peak-hour analysis from fixed cameras
Faster peak-hour reporting
Traffic survey coordinators
Recurring count duration studies
Consistent survey timelines
Show 2 more scenarios
GIS and reporting teams
Roadway segment aggregation exports
Reduced manual data wrangling
Outputs structured counts that can be merged into GIS layers and time-of-day reporting formats.
Operations analysts
Traffic flow data validation cycles
Lower data rework
Supports repeatable output generation that teams can review and adjust when video conditions drift.
Best for: Fits when traffic teams need repeatable video counts for fixed camera locations and interval reporting.
More related reading
INRIX
enterpriseMobility data software provides traffic volumes, speeds, travel times, and roadway performance measures.
Roadway-segment and intersection context that keeps counts and speed aligned across repeated reporting cycles.
INRIX is built around traffic flow data products that combine vehicle count and speed measurement with roadway-referenced delivery, so teams can keep dashboards aligned to the same segments and intersections over time. The workflow supports time-of-day aggregation and peak-hour analysis outputs that can feed annual average daily traffic style reporting and ongoing count validation.
A key tradeoff is that INRIX is strongest when the use case accepts its established roadway coverage and data products rather than building custom count geometries from raw sensor feeds. INRIX fits situations where multiple stakeholders need consistent traffic count outputs for recurring operational decisions, especially when GIS alignment reduces manual reconciliation work.
- +Roadway-referenced outputs support consistent segment and intersection reporting
- +Time-of-day aggregation supports peak-hour analysis without manual reshaping
- +Count and speed outputs align for cross-checking traffic flow trends
- +GIS integration reduces reconciliation work across count locations
- –Custom count geometry creation from sensor feeds is limited
- –Integration depth can require technical ownership for automation and governance
- –Some workflows depend on accepting INRIX data product coverage
- –Rapid experimentation may be slower than tools built for survey-only counts
City transportation planning teams
Peak-hour and time-of-day reporting
Faster reporting cycles
Mobility analytics groups
Cross-checking count and speed
Lower data inconsistency
Show 2 more scenarios
Regional traffic operations
Operational monitoring by count location
Stable monitoring baselines
Maintain consistent traffic count locations for dashboarding and change tracking.
GIS administrators
Roadway mapping alignment
Less reconciliation work
Place outputs into GIS to reduce manual linkages between surveys and assets.
Best for: Fits when GIS-first agencies need consistent traffic volume and speed outputs for recurring operational reporting.
Rekor
enterpriseRoadway intelligence software uses computer vision to classify vehicles and measure traffic activity.
Automated count generation from video scenes mapped to specific roadway segment or intersection count locations.
Rekor is a traffic counting software solution built around video-based detection and automated count generation for roadway corridors and intersection count locations. It supports outputs that can be used for time-of-day aggregation and count duration reporting, which helps when programs need predictable hourly volume profiles. The integration and automation surface is most useful when multiple locations must follow similar processing logic and exports feed GIS and traffic analysis workflows.
A tradeoff appears when projects depend on non-video counting hardware, because Rekor’s strongest path is aligning video capture settings with detection logic. Rekor is a practical choice when procurement already includes fixed cameras or when an agency can standardize camera placement and operating conditions per count location.
- +Video-driven counting that produces consistent count outputs by count location
- +Repeatable processing steps reduce variability across similarly configured sites
- +Exports support downstream traffic flow data workflows and reporting
- +Detection configuration can be tuned for intersection and roadway segment use
- –Non-video sensor sources may require extra bridging work
- –Setup tuning is sensitive to camera placement and operating conditions
- –Advanced governance controls are limited compared with enterprise data platforms
Traffic engineering teams
Hourly volume reporting for intersections
More consistent peak-hour estimates
Transportation analytics teams
Roadway segment count program
Faster multi-site reporting
Show 1 more scenario
GIS and planning analysts
Seasonal comparisons by export data
Quicker seasonal trend reviews
Exports count data for validation steps and annual comparison workflows.
Best for: Fits when agencies need automated video-based vehicle counts feeding time-of-day reporting.
Eco-Counter
vertical specialistCounting systems and software measure pedestrian, bicycle, and vehicle traffic at outdoor sites.
Session-based count management that ties device data to count location and duration settings for controlled surveys.
Eco-Counter is traffic counting software focused on field devices and count sessions tied to specific count locations and time windows. It handles vehicle count workflows with configuration for data validation and repeatable setup across surveys.
Eco-Counter supports traffic flow data exports for analysis in spreadsheets and GIS-oriented workflows, with automation around count plans and recurring deployments. The product’s differentiation is the way it packages end-to-end count management for device-based collection rather than only post-processing raw files.
- +Count sessions map cleanly to count locations and predefined durations
- +Configuration supports repeatable surveys across multiple field deployments
- +Export outputs fit common downstream analysis workflows
- +Validation tooling reduces obvious collection errors during review
- –Automation depth is limited for custom analytics pipelines
- –Extensibility depends on how device integrations are packaged
- –GIS workflows require consistent coordinate hygiene before import
- –Admin governance for multi-team sharing is not as granular as enterprise needs
Best for: Fits when roadway teams need managed count sessions from device collection to validated exports.
Placer.ai
enterpriseLocation analytics platform providing foot traffic and visitation counting for retail and commercial sites.
Geofence-based traffic estimates from mobile location signals mapped to road-adjacent count locations.
Placer.ai produces traffic volume measurement from mobile location signals and aggregates it onto count locations for retail, events, and venues. It supports roadway segment and intersection count use cases by mapping observed movement patterns to road-adjacent geofences and time windows.
The workflow centers on configuration of geographies and baselines, followed by time-of-day aggregation and export for analysis. API and automation features are geared toward recurring reporting and data validation across locations and periods.
- +Mobile-signal coverage enables counting without site-based detectors
- +API supports automated refresh across many count locations
- +Time-of-day aggregation supports peak-hour analysis workflows
- +Exports support downstream GIS and BI pipelines
- –Road mapping accuracy depends on geofence configuration discipline
- –Vehicle classification and speed measurement coverage is indirect
- –Audit-level data lineage across transformations can require extra work
- –Intersection turning movement count is not a direct native output
Best for: Fits when teams need recurring traffic estimates for many geographies without installing roadway sensors.
Countwise
SMBPeople and vehicle traffic counting software using overhead thermal and video sensors.
Count session validation that highlights inconsistencies before exporting roadway segment and turning movement outputs.
Countwise targets traffic count survey workflows that need repeatable data collection across roadway segments and intersections. It focuses on field capture to produce vehicle count and time-of-day aggregation outputs, with validation to flag inconsistencies during review.
The system supports configuration for turning movement count and pedestrian or bicycle tallies tied to specific count locations. Integration options center on exporting traffic flow data in structured formats for downstream analysis like peak-hour analysis.
- +Field workflow built around intersection and count location setup
- +Validation checks help catch missing or inconsistent count entries
- +Time-of-day aggregation supports peak-hour analysis prep
- +Exports stay aligned to typical traffic flow data analysis pipelines
- –Vehicle classification coverage can be limited depending on sensor or capture mode
- –Turning movement count configuration requires careful mapping discipline
- –Audit trails and governance controls are not as granular as enterprise RBAC needs
- –Automations and API surface are thin for fully custom aggregation logic
Best for: Fits when traffic count survey teams need repeatable intersection workflows and dependable exports for analysis.
Miovision
enterpriseTraffic data software supports intersection counts, turning movements, signal analysis, and transportation planning.
Validated intersection count workflows that convert raw detections into reviewable turning movement count outputs.
Miovision differentiates from many traffic counting tools through its integrated approach to field data capture, validation, and distribution for traffic flow data. It supports intersection count workflows that include vehicle count and turning movement count, and it can produce time-of-day aggregation outputs used for peak-hour analysis. Miovision also supports exportable count datasets that fit operational reporting cycles for roadway segment and intersection count management.
- +Intersection count workflow supports turning movement capture and review
- +Count data exports support integration into external analysis pipelines
- +Configuration for count duration and time-of-day aggregation is straightforward
- +Validation workflows reduce errors before traffic count survey deliverables
- –Automation depth depends on how sensors and recorders are deployed
- –Modeling complex count plans across many count locations takes planning
- –Custom reporting requires more setup than basic hourly volume profiles
- –Governance controls can feel limited for multi-team administration
Best for: Fits when operations teams need repeatable intersection counts with validated traffic flow data exports.
Axis Communications Camera Station
enterpriseVideo management software with integrated people and vehicle counting analytics for Axis network cameras.
Traffic-focused video workflows built around Axis camera and recorder control for repeatable count collection.
Axis Communications Camera Station pairs video management features with traffic use through its support for Axis video devices and analytics-oriented workflows. It enables roadway scene setup that turns camera views into vehicle count outputs for operational traffic monitoring and reporting.
The product focuses on configuration-driven deployments for traffic flow data collection rather than custom data engineering. It also supports export-friendly reporting so traffic count survey results can be handed off to downstream systems.
- +Works directly with Axis camera ecosystems for unified camera and recording control
- +Video scene configuration supports repeatable vehicle count collection per roadway segment
- +Reporting outputs fit CSV handoff workflows for standard traffic count survey processing
- +Centralized management reduces operational overhead for multi-camera intersections
- –Traffic detection and classification quality depends heavily on camera placement and lighting
- –Extensibility is limited compared with platforms that offer direct API access to counts
- –Setup time rises when tuning detection across multiple intersections and turning movements
- –Audit and governance controls for count data are less granular than enterprise workflow systems
Best for: Fits when teams already standardized on Axis cameras and need configuration-based vehicle count reporting.
Voxel51 FiftyOne
API-firstOpen-source computer vision toolkit supporting custom object and vehicle counting model evaluation.
View-based dataset filtering and evaluation ties detection results back to specific frames and metadata for count validation.
Voxel51 FiftyOne ingests and labels vehicle and road-scene data, then turns it into analytics-ready datasets for counting workflows. The core capability centers on multimodal dataset management, view-based filtering, and evaluation tooling that connects detection outputs to vehicle count and traffic flow data products.
Automation is driven through a Python-first API for data ingestion, transformation, and report generation. FiftyOne fits teams that measure counts from video or sensor-derived detections rather than relying only on fixed hardware counters.
- +Python API supports custom ingestion and transform pipelines
- +View and filter workflow accelerates iterative count QA on subsets
- +Dataset-centric operations keep frames, detections, and metadata aligned
- +Built-in evaluation tooling supports validation of detection outputs
- –Does not provide a native hardware counting stack like loop or radar integrations
- –Traffic counting outputs require custom mapping from detections to counts
- –Large video datasets can stress local storage and indexing throughput
- –Operational governance like RBAC and audit logs is not a primary focus
Best for: Fits when traffic counting depends on video detection results that need dataset QA and automated reporting.
StreetLight Data
enterpriseMobility analytics software estimates vehicle, bicycle, and pedestrian volumes across road networks.
API-backed workflow for defining study geometries and running repeatable traffic count and speed outputs at scale.
StreetLight Data provides traffic flow data products built from aggregated mobility signals, which makes it distinct from systems that rely on fixed roadway sensors. The core workflow centers on defining roadway segment or intersection study areas, generating time-of-day traffic count and speed measures, and validating outputs with quality controls.
Automation is supported through programmatic access for repeatable count surveys, scheduled updates, and dataset reuse across projects. StreetLight Data also supports interoperability through data export for GIS and downstream analytics.
- +Mobility-signal derived traffic flow outputs for roadway segments and intersections
- +Repeatable results via an automation-first workflow with API access
- +Quality controls and validation steps for count and speed measures
- +Export options for feeding GIS and analytics pipelines
- –Not a physical sensor management system for inductive loops or radar detectors
- –Turn-by-turn turning movement detail is limited versus intersection-focused TMC workflows
- –Roadway geometry setup can require iteration to match count locations
- –Governance needs rely on customer process for access control and change review
Best for: Fits when agencies or consultancies need fast traffic flow data coverage without installing sensor hardware.
Conclusion
After evaluating 10 business finance, GoodVision Video Insights stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right traffic counting software
Traffic counting software turns roadway or intersection detections into repeatable traffic volume measurement outputs that teams can export for hourly volume profile and peak-hour analysis. This guide covers GoodVision Video Insights, INRIX, Rekor, Eco-Counter, Placer.ai, Countwise, Miovision, Axis Communications Camera Station, Voxel51 FiftyOne, and StreetLight Data.
The tools vary by counting approach. GoodVision Video Insights and Rekor center on detection-zone configuration from video scenes. INRIX and Eco-Counter emphasize roadway-aligned reporting structures and managed count sessions.
Traffic counting software that converts roadway and intersection detections into count outputs
Traffic counting software captures vehicle count and traffic flow data from field sensors, recorded video, or mobility signals and then structures results for count locations like roadway segments and intersections. Teams typically need configuration that ties detections to a specific count geometry and count duration so exports stay consistent across recurring traffic count survey windows.
GoodVision Video Insights focuses on detection-zone configuration for intersection-style counting from video scenes and scheduled interval exports for traffic analysis. INRIX aligns counts to roadway segment and intersection context so time-of-day aggregation supports peak-hour analysis without manual reshaping.
What to verify in traffic counting software
Traffic counting software needs repeatable mapping from detections to a specific count geometry so exports remain consistent across count duration windows and recurring traffic count survey schedules. The right controls also keep data validation and automation predictable so traffic flow data stays usable for hourly volume profile, seasonal adjustment, and GIS integration without manual reshaping.
Count geometry configuration for roadway segments and intersections
GoodVision Video Insights uses detection-zone configuration from video scenes to support intersection-style counting with scheduled interval exports. INRIX ties outputs to roadway-segment and intersection context so time-of-day aggregation supports peak-hour analysis without reformatting.
Count-session lifecycle for controlled surveys
Eco-Counter manages session-based count setup that ties device data to count location and duration settings for controlled traffic count survey workflows. Countwise adds session validation that highlights inconsistencies before exporting roadway segment and turning movement count outputs.
Automation and integration surface for repeatable exports
StreetLight Data runs an API-backed workflow that defines study geometries and generates repeatable traffic count and speed outputs at scale. Placer.ai provides an API that supports automated refresh across many geographies using geofence-based traffic estimates.
Intersection turning movement workflows with reviewable outputs
Miovision converts raw detections into validated intersection count workflows that produce reviewable turning movement count outputs. Countwise emphasizes intersection and count location setup with validation checks to reduce export errors.
Video-to-count mapping quality and operational tuning burden
Rekor generates automated count outputs by mapping video scenes to specific roadway segment or intersection count locations. GoodVision Video Insights requires zone tuning when scene illumination and camera angles change, which affects ongoing operational effort.
Extensibility for custom pipelines and dataset QA
Voxel51 FiftyOne provides a Python API with view-based dataset filtering that ties detection results back to specific frames and metadata for count validation. Axis Communications Camera Station builds around Axis camera and recorder control, which limits extensibility compared with platforms that expose counts for direct programmatic use.
Choose by workflow fit, not by sensor type alone
Traffic teams should choose software by how it manages count plans from setup through validation to export, because each product’s workflow determines how repeatable outputs stay across multiple count windows. Different platforms also assume different sources for traffic flow data, so the best selection comes from matching the software’s configuration discipline to the agency’s field reality and automation expectations.
Start with the source your organization can standardize
If teams can standardize fixed camera scenes and repeat the same viewpoint, GoodVision Video Insights offers detection-zone configuration plus scheduled interval exports for repeatable video counts. If teams need detector-free coverage across many geographies, Placer.ai and StreetLight Data produce mobility-signal derived traffic flow outputs via API workflows.
Pick the product philosophy for count plan control
Eco-Counter and Countwise focus on session-based management where count location and duration settings stay tied to field collection so exports follow a controlled survey workflow. Rekor and GoodVision Video Insights focus on automated video scene processing where configuration tuning impacts output quality when illumination and camera angles shift.
Match the geometry and reporting structure to your reporting cadence
For agencies that need roadway-referenced reporting structures across repeated operational cycles, INRIX keeps counts and speed aligned across roadway segments and intersections. For teams that run multiple intersection count plans and require consistent turning movement exports, Miovision emphasizes validated intersection workflows that convert detections into reviewable outputs.
Decide how much custom data engineering is acceptable
If custom ingestion and transform pipelines are required, Voxel51 FiftyOne offers a Python API for dataset QA and iterative count review on subsets. If configuration-based reporting with a camera ecosystem is the priority, Axis Communications Camera Station supports repeatable vehicle count collection but has limited extensibility compared with tools that expose counts through API-first automation.
Stress test automation governance for exports at scale
For study automation at scale with programmatic geometry definitions, StreetLight Data runs an automation-first API workflow that generates repeatable traffic count and speed outputs. For high-volume refresh across many count locations, Placer.ai provides API-driven refresh tied to geofence configuration discipline.
Plan for validation effort where the platform expects it
GoodVision Video Insights and Rekor rely on video detection-zone or scene tuning, so teams should budget time for accuracy validation when scenes change. Countwise adds validation checks to catch inconsistent count entries before exporting turning movement and roadway segment outputs.
Who benefits from these traffic counting tools
The best fit depends on whether traffic counting must be repeatable across fixed locations or scalable across many geographies without installing roadway sensors. Teams also differ in how they handle validation, because some workflows emphasize session review while others emphasize automated scene processing or dataset QA pipelines.
Traffic operations teams running fixed-site intersection counts from recorded camera feeds
GoodVision Video Insights supports detection-zone configuration for intersection-style counting and scheduled interval exports for recurring traffic count survey windows.
GIS-first agencies that must align counts and speed to roadway segments and intersections consistently
INRIX keeps outputs grounded in roadway-segment and intersection context and supports time-of-day aggregation for peak-hour analysis without manual reshaping.
Consultancies that need to define study geometries and run repeatable outputs at scale via automation
StreetLight Data provides an API-backed workflow for defining study geometries and generating repeatable traffic count and speed outputs without physical sensor management.
Intersection workflow teams that rely on reviewable exports and validation before analysis
Miovision produces validated intersection turning movement outputs and Countwise adds validation checks tied to count session setup to reduce export errors.
Data science teams that want programmatic control over detection QA and custom reporting pipelines
Voxel51 FiftyOne offers a Python API with view-based dataset filtering so detection results can be evaluated and tied back to specific frames and metadata.
Common failure points during selection and rollout
Traffic counting programs fail when teams underestimate how configuration discipline and validation effort affect export accuracy over time. Errors also happen when automation expectations are mismatched to what the platform exposes programmatically, which forces manual work after exports are generated.
Buying a video-first platform without planning for ongoing detection-zone tuning when illumination or camera angles change.
GoodVision Video Insights and Rekor both depend on video scene configuration, so teams should schedule accuracy validation workflows when scenes shift to avoid drift in count outputs.
Treating mobility-signal geofence results as if they produce sensor-grade turning movement detail.
Placer.ai and StreetLight Data generate traffic estimates from mobile location signals, so turning movement detail can be indirect compared with intersection-focused TMC-style workflows like Miovision.
Assuming every platform supports the same integration automation patterns for exports across many count locations.
StreetLight Data and Placer.ai emphasize API-driven automation, while Axis Communications Camera Station centers on Axis camera ecosystem control, so programmatic count access can be limited for custom pipelines.
Skipping session validation when the workflow includes manual setup of count locations and durations.
Eco-Counter ties count sessions to count location and predefined durations, and Countwise adds session validation checks, so both should be used to prevent inconsistent entries from reaching exports.
Overestimating extensibility in platforms that focus on device ecosystems instead of API-first count delivery.
Axis Communications Camera Station supports unified camera and recording control for repeatable reporting, but it offers limited extensibility compared with platforms that enable custom mapping from detections to counts.
How We Selected and Ranked These Tools
We evaluated traffic counting software by weighing features at 40%, ease at 30%, and value at 30%. Features focused on count geometry configuration, session validation workflows, and how repeatable exports are produced for roadway segments and intersections.
Ease focused on operational friction from scene tuning, count-session setup, and how quickly teams can generate consistent interval or study outputs. Value reflected the degree to which automation and API-backed workflows reduce manual reshaping, and GoodVision Video Insights separated itself with detection-zone configuration mapped to intersection-style counting plus scheduled interval exports for traffic analysis.
Frequently Asked Questions About traffic counting software
Which traffic counting software is best for video-based intersection counts?
How do API and automation capabilities differ across traffic counting tools?
What integrations support GIS and downstream reporting?
What is the tradeoff between fixed sensors and mobility-signal data?
When should a team use dataset tooling instead of a field-counting platform?
What breaks if detection settings are not recalibrated for new sites?
Do these tools provide SSO, RBAC, audit logs, or compliance controls?
How can teams migrate existing traffic count data into a new platform?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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