Top 10 Best Traffic Count Software of 2026

HERE Technologies is strongest when traffic counts must be reconciled with road network geometry and used in location-scoped reporting. Integration typically happens through documented APIs and data services that return observations associated with routes, segments, or map features. Data workflows can be automated with scheduled pulls, validation checks, and repeatable exports into common analysis pipelines.

A key tradeoff is that HERE Technologies workflows rely on geospatial referencing, so teams without map and road-segmentation capability often need extra setup effort. Best fit appears in programs that need consistent intersection or approach alignment across many sites, such as citywide monitoring and corridor studies.

INRIX fits organizations that treat traffic count outputs as an input to ongoing decision cycles, because the outputs are meant to combine with broader roadway intelligence rather than stand alone as one-off worksheets. Core deliverables align to standard traffic count deliverables like traffic volume counts, peak-hour volume, and vehicle classification outputs. The integration surface is oriented toward automation through API access and data feeds that reduce manual reconciliation.

A practical tradeoff is that count results often depend on the available coverage and the maturity of the underlying roadway data for a region, which can limit usefulness for niche sites. INRIX works best when teams need continuous or frequent time-of-day aggregation across corridors and want classification and directional split outputs to stay consistent across reporting periods.

TomTom Traffic provides map-referenced traffic status and flow information that can be visualized in geospatial workflows and consumed by other systems. It is commonly used when historical or real-time traffic conditions must be correlated with roads, intersections, corridors, and route choices. For traffic count workflows, it supports aggregation over time and export formats that fit reporting pipelines. The automation depth is strongest when traffic intelligence is pulled through an API into existing dashboards and geospatial systems.

A key tradeoff is that TomTom Traffic does not replace a dedicated traffic count station setup because it delivers traffic conditions rather than raw lane-by-lane turning movement counts from field devices. It fits best when planners need continuous network context or validation against external count datasets during short-duration studies. It is also a good fit for organizations that already operate GIS tooling and want time-of-day traffic profiles for operational planning.

JAMAR Technologies turning movement count software targets turning movement counts with tooling built around intersection counting workflows. It supports time-of-day aggregation for approach and turning directions while keeping count intervals tied to field capture.

The system is designed for repeatable deployment of counting setups across sites so results align across count sessions. It also emphasizes data interchange through export-ready outputs for downstream traffic analysis.

TrafInfo Communications traffic count tools generate traffic volume counts from roadside detection workflows and support vehicle classification for planning and operational studies. Counting outputs are organized for time-of-day aggregation and exporting into common analysis formats used by traffic engineers and municipalities.

The product focuses on turning-field collection, validation for count quality, and producing count datasets usable for intersection analysis. Integration depth centers on how counts move into downstream tools through exportable datasets rather than analyst-side spreadsheets.

MetroCount traffic analysis software targets traffic count workflows that start with count input, then move through validation, aggregation, and reporting for engineering decisions. It supports common field workflows like short-duration counts and continuous count datasets, then produces time-of-day aggregation views for peak-hour volume and directional split analysis.

The tool focuses on exporting analysis outputs into GIS-ready formats and CSV for downstream processing. For teams that need repeatable count processing across multiple locations and study periods, MetroCount centers on structured station-level organization and report generation.

Miovision centers traffic-counting workflows around camera-based detection and automated traffic data capture, which reduces manual counting compared with worksheet-driven processes. Core capabilities include turning movement counts, directional split, and time-of-day volume aggregation for intersection counts and approach counts.

The system is built for ongoing counts via configurable intervals and repeatable station setups, with export-ready outputs used for validation and planning baselines. Integration and automation come through an API and configuration-driven provisioning used to align stations, sensors, and reporting schedules across deployments.

Econolite traffic analysis software is built for traffic count workflows that span street-level detections and intersection-level reporting. The system supports bidirectional counting and turning movement counts, so counts can be aggregated into approach, direction split, and intersection outputs.

Data exports for time-of-day aggregation and interval-based summaries support validation against field counts and engineering review. Admin control features support multi-user operations for ongoing traffic count station datasets.

DataFromSky counts traffic by importing and processing aerial video or sensor feeds and producing time-of-day volume outputs for intersections and roadway segments. It focuses on automatic detection workflows that support vehicle and lane-level aggregation into count tables and exportable datasets.

Configuration centers on defining counting locations, time windows, and output formats for repeatable traffic count station runs. The solution’s main differentiation is its workflow-oriented processing that turns raw footage or sensor streams into structured traffic count validation artifacts and CSV exports.

Numina is a traffic count software solution built around automated collection workflows and data export for traffic studies. It focuses on managing field counts, transforming them into structured outputs, and supporting review cycles before publishing results.

The tool targets common study needs like approach counts, turning movement counts, and time-of-day aggregation with export-ready datasets. Numina also emphasizes integration-friendly handling of count records so downstream reporting can consume consistent files.