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Business FinanceTop 10 Best Traffic Count Software of 2026
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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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Miovision Scout
AI-driven video analytics that automatically detects and classifies vehicles, cyclists, and pedestrians with turning movements in real-time
Built for transportation agencies, municipalities, and traffic engineers needing scalable, automated traffic counting for urban planning and operations..
Diamond Traffic Software
Neural network-powered multi-object tracking for superior accuracy in occluded or busy traffic environments
Built for traffic engineers, city planners, and transportation authorities needing precise, automated video-based traffic monitoring..
Peek TRAQS
Proprietary deep learning AI for precise multi-lane turning movement counts and vehicle classification in challenging conditions like poor lighting or occlusions.
Built for transportation engineers, city planners, and consultants needing automated, high-accuracy traffic counts from existing CCTV systems for short- to medium-term studies..
Comparison Table
This comparison table explores top traffic count software, featuring tools such as Miovision Scout, Diamond Traffic Software, Peek TRAQS, MetroCount, Eco-Counter, and others. It breaks down key attributes, usability, and practical suitability, equipping readers to find the right fit for their traffic monitoring needs.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Miovision Scout AI-powered video analytics for automated, accurate vehicle, bike, and pedestrian traffic counting. | specialized | 9.6/10 | 9.8/10 | 9.2/10 | 9.4/10 |
| 2 | Diamond Traffic Software Advanced road traffic detection and counting software using video processing for high accuracy. | specialized | 8.7/10 | 9.2/10 | 8.0/10 | 8.3/10 |
| 3 | Peek TRAQS Comprehensive traffic data collection and analytics platform with video detection capabilities. | enterprise | 8.7/10 | 9.2/10 | 8.5/10 | 8.3/10 |
| 4 | MetroCount Pneumatic tube-based traffic classifiers with robust data processing software for volume counts. | specialized | 8.2/10 | 8.7/10 | 7.4/10 | 8.0/10 |
| 5 | Eco-Counter Automated counters for multimodal traffic including vehicles, bikes, and pedestrians. | specialized | 8.2/10 | 8.7/10 | 7.9/10 | 7.5/10 |
| 6 | NuMetrics NuAMP Cloud-based traffic monitoring and analytics for turning movement and volume counts. | enterprise | 7.8/10 | 8.4/10 | 7.6/10 | 7.5/10 |
| 7 | StreetLight Data Big data platform providing origin-destination traffic volume analytics from multiple sources. | enterprise | 8.4/10 | 9.1/10 | 7.6/10 | 7.8/10 |
| 8 | INRIX Global traffic data platform offering volume, speed, and pattern insights from probe data. | enterprise | 8.2/10 | 9.1/10 | 7.4/10 | 7.8/10 |
| 9 | TomTom Traffic Stats Historical and real-time traffic statistics including volume and congestion metrics. | enterprise | 7.9/10 | 8.7/10 | 6.8/10 | 7.4/10 |
| 10 | HERE Traffic Analytics Location intelligence platform with traffic flow and volume data from crowdsourced sources. | enterprise | 7.8/10 | 8.5/10 | 6.8/10 | 7.2/10 |
AI-powered video analytics for automated, accurate vehicle, bike, and pedestrian traffic counting.
Advanced road traffic detection and counting software using video processing for high accuracy.
Comprehensive traffic data collection and analytics platform with video detection capabilities.
Pneumatic tube-based traffic classifiers with robust data processing software for volume counts.
Automated counters for multimodal traffic including vehicles, bikes, and pedestrians.
Cloud-based traffic monitoring and analytics for turning movement and volume counts.
Big data platform providing origin-destination traffic volume analytics from multiple sources.
Global traffic data platform offering volume, speed, and pattern insights from probe data.
Historical and real-time traffic statistics including volume and congestion metrics.
Location intelligence platform with traffic flow and volume data from crowdsourced sources.
Miovision Scout
specializedAI-powered video analytics for automated, accurate vehicle, bike, and pedestrian traffic counting.
AI-driven video analytics that automatically detects and classifies vehicles, cyclists, and pedestrians with turning movements in real-time
Miovision Scout is a leading cloud-based traffic analytics platform that uses AI-powered video detection to provide automated, highly accurate traffic counts, vehicle classifications, speeds, and turning movement data from existing traffic cameras. It delivers real-time and historical insights through an intuitive dashboard, enabling data-driven decisions for traffic management and planning. Scout eliminates the need for manual counts with pneumatic tubes, offering scalable deployment across intersections city-wide.
Pros
- Exceptional accuracy with AI video analytics exceeding 99% for counts and classifications
- Seamless integration with existing cameras and robust API for third-party systems
- Comprehensive reporting tools including custom dashboards and export options
Cons
- Requires compatible video feeds, limiting use with non-standard hardware
- Enterprise pricing may be steep for small municipalities
- Initial setup involves camera calibration which can take time
Best For
Transportation agencies, municipalities, and traffic engineers needing scalable, automated traffic counting for urban planning and operations.
Diamond Traffic Software
specializedAdvanced road traffic detection and counting software using video processing for high accuracy.
Neural network-powered multi-object tracking for superior accuracy in occluded or busy traffic environments
Diamond Traffic Software is a specialized video detection platform designed for automatic traffic counting and classification using CCTV footage. It employs AI-driven algorithms to detect vehicles, pedestrians, cyclists, and other road users, providing metrics like volume, speed, occupancy, and turning movements. The solution integrates with existing camera infrastructure to deliver real-time and historical traffic data analytics for urban planning and traffic management.
Pros
- Highly accurate AI neural network detection even in complex scenes
- Comprehensive data exports and customizable reports
- Seamless integration with standard CCTV systems
Cons
- Enterprise pricing lacks transparency and can be high
- Performance dependent on video quality and camera positioning
- Initial setup requires technical configuration
Best For
Traffic engineers, city planners, and transportation authorities needing precise, automated video-based traffic monitoring.
Peek TRAQS
enterpriseComprehensive traffic data collection and analytics platform with video detection capabilities.
Proprietary deep learning AI for precise multi-lane turning movement counts and vehicle classification in challenging conditions like poor lighting or occlusions.
Peek TRAQS is a cloud-based traffic analytics platform from Peek Traffic that processes video footage from traffic cameras to deliver precise vehicle counts, classifications, and turning movement data. It leverages AI-powered detection to handle multi-lane roadways, intersections, and complex scenarios without manual counts or additional hardware. The software supports 24/7 data collection, customizable reports, and integration with GIS and traffic modeling tools for planning and analysis.
Pros
- Highly accurate AI-driven vehicle detection and classification rivaling manual methods
- Scalable cloud processing handles high volumes of video data effortlessly
- Robust reporting tools with easy data export to Excel, GIS, and modeling software
Cons
- Performance dependent on video quality and camera positioning
- Pricing scales with usage, potentially expensive for very large deployments
- Initial setup requires familiarity with video integration and calibration
Best For
Transportation engineers, city planners, and consultants needing automated, high-accuracy traffic counts from existing CCTV systems for short- to medium-term studies.
MetroCount
specializedPneumatic tube-based traffic classifiers with robust data processing software for volume counts.
AxleSense technology for precise, multi-axle vehicle classification and gap analysis across multiple lanes
MetroCount offers specialized traffic counting solutions, combining durable hardware like pneumatic tube counters with powerful software for data collection and analysis. The flagship MetroCount Traffic Analyst (MCTA) software processes raw data from counters into detailed reports, including vehicle classification, speed profiles, and traffic volume metrics. It's tailored for transportation engineers handling short-term and continuous traffic studies, supporting up to 40 user-defined vehicle classes and large datasets.
Pros
- Highly accurate axle-based vehicle classification with up to 40 classes
- Efficient handling of large datasets and customizable reporting/export options
- Seamless integration with MetroCount's reliable field hardware
Cons
- Windows-only interface with a moderate learning curve for advanced analysis
- Pricing requires direct quotes, lacking transparent online tiers
- Limited mobile or cloud-based access for real-time monitoring
Best For
Traffic engineers and transportation planners conducting field-based volume studies with pneumatic counters who need robust desktop analysis tools.
Eco-Counter
specializedAutomated counters for multimodal traffic including vehicles, bikes, and pedestrians.
Global counter network for anonymized benchmarking and trend comparisons across cities
Eco-Counter specializes in automated traffic counting solutions, offering durable hardware sensors (infrared, pneumatic, inductive) and the cloud-based Eco-Visio software for precise data collection on bicycles, pedestrians, and vehicles. The platform delivers real-time dashboards, advanced analytics, customizable reports, and benchmarking against a global network of over 7,000 counters in 1,400+ cities. It excels in supporting sustainable mobility initiatives with accurate, weather-resistant counting for multimodal traffic.
Pros
- Highly accurate and reliable hardware for non-motorized traffic
- Comprehensive analytics with global benchmarking data
- Robust integration for urban planning and reporting
Cons
- Hardware installation requires technical expertise
- Limited focus on heavy vehicular traffic
- Premium pricing model with custom quotes
Best For
Municipalities, urban planners, and sustainability-focused agencies tracking bike, pedestrian, and light vehicle volumes.
NuMetrics NuAMP
enterpriseCloud-based traffic monitoring and analytics for turning movement and volume counts.
Hardware-agnostic AI video analytics that achieves 98%+ accuracy on vehicle counts and classifications from any standard camera feed.
NuMetrics NuAMP is an AI-powered traffic analytics platform that processes video feeds from existing cameras to deliver precise traffic counts, vehicle classification, speed measurements, and turning movements. It uses advanced computer vision and deep learning for real-time and historical data analysis, supporting multi-modal detection including vehicles, pedestrians, and cyclists. Ideal for traffic monitoring without hardware overhauls, it provides cloud-based dashboards for easy data visualization and export.
Pros
- Highly accurate AI-driven detection and classification across diverse conditions
- Seamless integration with any standard IP camera or CCTV system
- Comprehensive reporting with real-time alerts and customizable dashboards
Cons
- Performance can vary with low-quality video feeds
- Pricing lacks transparency and requires custom quotes
- Fewer advanced predictive analytics than top competitors
Best For
Municipalities, traffic engineers, and consultants needing scalable, hardware-free automated traffic counting from existing cameras.
StreetLight Data
enterpriseBig data platform providing origin-destination traffic volume analytics from multiple sources.
Privacy-preserving aggregation of 100+ billion annual trips into virtual traffic counts with national-scale coverage
StreetLight Data is a cloud-based mobility analytics platform that leverages big data from mobile devices, connected vehicles, and other sources to deliver precise traffic volume estimates, origin-destination matrices, and multimodal travel patterns without requiring physical traffic counters. It supports transportation planning, safety analysis, and economic impact studies by providing scalable, historical, and forecast data across the US and select international markets. Users can create custom queries for intersections, corridors, and regions, with visualizations and API access for integration.
Pros
- Comprehensive coverage with billions of anonymized trips for accurate virtual counts
- Multimodal insights including pedestrians, bikes, transit, and trucks
- Robust API and reporting tools for seamless integration and scenario modeling
Cons
- High cost limits accessibility for small agencies or individuals
- Steep learning curve for advanced analytics and custom queries
- Relies on proprietary data sources which may raise transparency concerns
Best For
Mid-to-large transportation agencies and consulting firms requiring scalable, data-driven traffic count alternatives for planning and forecasting.
INRIX
enterpriseGlobal traffic data platform offering volume, speed, and pattern insights from probe data.
Probe-based traffic volume estimation from billions of anonymized vehicle miles, providing hardware-free, real-time and historical counts at high resolution
INRIX is a leading provider of traffic intelligence, delivering accurate traffic count data through a vast network of probe data from millions of connected vehicles, GPS sources, and partnerships. It offers historical Annual Average Daily Traffic (AADT), real-time volume estimates, and predictive analytics for comprehensive traffic volume insights. This cloud-based platform enables transportation agencies, cities, and enterprises to access scalable traffic counts without the need for physical sensors.
Pros
- Extensive global coverage with data from over 100 million vehicles daily
- Highly accurate volume data validated against ground truth sensors
- Advanced analytics including predictive modeling and origin-destination flows
Cons
- Enterprise-level pricing inaccessible for small users or basic needs
- Requires API integration and technical expertise for full utilization
- Less focused on granular, site-specific short-term counts compared to dedicated hardware solutions
Best For
Large-scale transportation departments, urban planners, and enterprises requiring city-wide or regional traffic volume data and analytics.
TomTom Traffic Stats
enterpriseHistorical and real-time traffic statistics including volume and congestion metrics.
Probe-sourced traffic flow data from 600M+ devices, providing unmatched scale and accuracy for volume estimates without roadside sensors
TomTom Traffic Stats provides comprehensive historical and near-real-time traffic data, including vehicle counts, flow rates, speeds, and congestion metrics derived from TomTom's global network of over 600 million connected probes. It delivers granular insights such as hourly volumes, AADT (Annual Average Daily Traffic), and route-level statistics via APIs and developer tools. Ideal for traffic analysis, urban planning, and transportation modeling, it leverages TomTom's mapping expertise for accurate, large-scale traffic counting without on-site hardware.
Pros
- Extensive global coverage with billions of data points daily
- High accuracy from probe-based crowdsourced data
- Flexible API integration for custom traffic count applications
Cons
- API-heavy interface requires development expertise
- Limited free tier; enterprise pricing can be steep
- Less focus on raw, sensor-specific counts compared to dedicated hardware solutions
Best For
Urban planners and traffic engineers needing scalable, historical traffic volume data across large regions without installing physical counters.
HERE Traffic Analytics
enterpriseLocation intelligence platform with traffic flow and volume data from crowdsourced sources.
Proprietary probe data from 7+ billion km driven daily, enabling precise, sensor-free traffic volume modeling at segment level
HERE Traffic Analytics is a cloud-based platform from HERE Technologies that delivers detailed traffic volume, flow, speed, and pattern insights using anonymized probe data from a global fleet of connected vehicles. It provides historical data spanning years, real-time updates, and predictive analytics for road segments worldwide, enabling accurate traffic counting and congestion analysis without physical sensors. Ideal for transportation planners, the tool integrates via APIs with GIS systems for scalable urban mobility solutions.
Pros
- Extensive global coverage with data for over 100 countries
- High-accuracy traffic volume estimates from billions of probe kilometers daily
- Rich historical datasets for long-term trend analysis
Cons
- API-centric interface requires development expertise
- Enterprise-level pricing excludes small users
- Aggregated probe data lacks granularity of fixed sensor counts
Best For
Government agencies and large logistics firms requiring scalable, worldwide traffic volume analytics for planning and optimization.
Conclusion
After evaluating 10 business finance, Miovision Scout 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 Count Software
This buyer’s guide helps teams select traffic count software for automated vehicle, bike, and pedestrian volumes using video analytics, pneumatic tubes, and probe-based virtual counting. Coverage includes Miovision Scout, Diamond Traffic Software, Peek TRAQS, MetroCount, Eco-Counter, NuMetrics NuAMP, StreetLight Data, INRIX, TomTom Traffic Stats, and HERE Traffic Analytics. The guide maps real selection requirements like multi-lane turning movements, hardware constraints, and data integration into concrete tool matches.
What Is Traffic Count Software?
Traffic count software converts raw sensor or feed inputs into traffic metrics like volume counts, vehicle classification, speed estimates, and turning movement data. Some tools read existing traffic camera video using AI video detection, like Miovision Scout, Diamond Traffic Software, Peek TRAQS, and NuMetrics NuAMP. Other solutions use field hardware like MetroCount pneumatic tube counters with desktop reporting via MetroCount Traffic Analyst. Probe-based platforms like StreetLight Data, INRIX, TomTom Traffic Stats, and HERE Traffic Analytics generate virtual counts from anonymized mobility data without installing site counters.
Key Features to Look For
Traffic count software should be chosen by matching the output type and data pipeline to the decision being made.
AI video detection with multi-object classification
Miovision Scout uses AI-powered video analytics to automatically detect and classify vehicles, cyclists, and pedestrians with turning movements in real time. NuMetrics NuAMP is hardware-agnostic for standard IP camera feeds and targets 98% plus accuracy on vehicle counts and classifications. Diamond Traffic Software uses neural network-powered multi-object tracking designed for busy and occluded scenes.
Turning movement counts for intersections
Miovision Scout delivers turning movement data in real time from existing traffic cameras. Peek TRAQS focuses on multi-lane turning movement counts with proprietary deep learning AI that handles challenging conditions like poor lighting and occlusions.
Robust multi-lane performance in complex scenes
Peek TRAQS supports multi-lane roadways and intersection scenarios by processing video footage in the cloud. Diamond Traffic Software emphasizes neural network multi-object tracking for superior accuracy when vehicles occlude each other. NuMetrics NuAMP highlights hardware-agnostic AI performance across diverse conditions but still depends on video quality.
Axle-based vehicle classification for field tube counts
MetroCount uses AxleSense technology for precise multi-axle vehicle classification and gap analysis across multiple lanes. MetroCount Traffic Analyst processes raw counter data into detailed reports including vehicle classification, speed profiles, and traffic volume metrics. This approach is built for short-term and continuous field studies that rely on pneumatic tube hardware.
Multimodal counting with pedestrian and cyclist coverage
Eco-Counter targets bikes and pedestrians with durable sensors and cloud analytics in Eco-Visio. Miovision Scout and NuMetrics NuAMP also include pedestrian and cyclist detection via AI video analytics for intersections. StreetLight Data adds multimodal origin-destination travel patterns including pedestrians, bikes, transit, and trucks.
Integration pathways for planning workflows
Peek TRAQS supports integration with GIS and traffic modeling tools and delivers customizable reports with easy data export to Excel. Miovision Scout includes a robust API for third-party systems and dashboard reporting. StreetLight Data provides API access for custom queries across intersections, corridors, and regions.
How to Choose the Right Traffic Count Software
Match tool architecture to the data source available and to the traffic outputs needed for the planning or operations workflow.
Start with the input source that can realistically be provided
If existing traffic cameras are available, evaluate video-based platforms like Miovision Scout, Diamond Traffic Software, Peek TRAQS, and NuMetrics NuAMP to avoid deploying new roadside hardware. If field installation with pneumatic tubes is feasible, MetroCount provides axle-based classification from durable tube counters. If no site sensor deployment is possible, probe-based alternatives like StreetLight Data, INRIX, TomTom Traffic Stats, and HERE Traffic Analytics produce virtual volume estimates without roadside equipment.
Confirm the required outputs for the intersection or corridor
For intersection operations and phasing analysis, prioritize turning movement data from Miovision Scout and Peek TRAQS because both are built to produce turning movements. For vehicle mix analysis across multiple lanes using tube data, MetroCount is designed around axle-based classification and gap analysis via AxleSense. For corridor-level planning that needs flow patterns and travel matrices, StreetLight Data supports origin-destination matrices and multimodal travel patterns.
Validate performance risk from scene complexity and video quality
Diamond Traffic Software is engineered for occluded and busy environments using neural network multi-object tracking. Peek TRAQS is designed for poor lighting and occlusions with proprietary deep learning AI. NuMetrics NuAMP targets 98% plus accuracy but performance can vary when video quality is low, so camera resolution and placement become acceptance criteria.
Choose the integration route that matches the team’s tooling
If the workflow uses GIS and planning tools, Peek TRAQS supports GIS and traffic modeling integrations and exports data to Excel. If third-party systems must be connected to dashboards and reporting, Miovision Scout includes a robust API plus custom dashboard reporting. If the team relies on programmatic analytics and custom queries, StreetLight Data and INRIX provide API access for scenario modeling.
Pick based on reporting depth and usability constraints
For teams that need custom dashboards and export options from video analytics, Miovision Scout provides comprehensive reporting with intuitive dashboard access. For teams using tube counters and needing advanced desktop analysis, MetroCount Traffic Analyst is built for Windows-based workflows and handles large datasets with customizable exports. For virtual planning datasets at national scale, TomTom Traffic Stats and HERE Traffic Analytics emphasize APIs and route-level or segment-level statistics rather than raw sensor-style outputs.
Who Needs Traffic Count Software?
Traffic count software is used across transportation engineering, sustainability programs, and planning organizations that need reliable volume and classification metrics.
Municipalities and transportation agencies needing automated camera-based counts with intersection turning movements
Miovision Scout fits teams needing automated, accurate vehicle, cyclist, and pedestrian counts plus real-time turning movements using existing traffic camera feeds. Peek TRAQS also matches this need by producing multi-lane turning movement counts from CCTV footage without additional hardware.
Traffic engineers and city planners needing high accuracy in occluded and busy scenes using CCTV feeds
Diamond Traffic Software is built around neural network multi-object tracking to maintain accuracy when vehicles obscure each other. NuMetrics NuAMP is hardware-agnostic for standard IP camera feeds and provides cloud dashboards and export for camera-based counting.
Field study teams that require tube-based axle classification across lanes
MetroCount is designed for pneumatic tube traffic classifiers paired with MetroCount Traffic Analyst for robust desktop reporting. It supports up to 40 user-defined vehicle classes and uses AxleSense for multi-axle classification and gap analysis across multiple lanes.
Sustainability-focused agencies tracking bikes and pedestrians at specific sites
Eco-Counter is optimized for non-motorized traffic with durable installation sensors and Eco-Visio analytics for real-time dashboards and customizable reports. It also offers benchmarking using a global counter network across cities.
Mid-to-large transportation agencies that want sensor-free planning data at scale
StreetLight Data is designed for national-scale virtual counts using privacy-preserving aggregation of 100+ billion annual trips. INRIX and TomTom Traffic Stats provide hardware-free volume and speed insights from probe networks with API access for region and corridor analytics.
Government and logistics teams needing worldwide segment-level traffic volume modeling
HERE Traffic Analytics supports traffic flow and volume modeling worldwide with historical coverage and predictive analytics using probe data. INRIX complements this with probe-based traffic volume estimation validated against ground truth sensors and origin-destination flow analysis.
Common Mistakes to Avoid
Common failures come from mismatching sensor assumptions, relying on the wrong performance conditions, or choosing output formats that do not fit the planning workflow.
Assuming any traffic camera feed will work equally well for AI video analytics
NuMetrics NuAMP performance can vary with low-quality video feeds, so camera resolution and image stability matter before deployment. Miovision Scout and Peek TRAQS depend on compatible video feeds and require calibration, so acceptance testing should include calibration time and feed compatibility.
Choosing virtual probe-based tools when sensor-style site counts are required
StreetLight Data, INRIX, TomTom Traffic Stats, and HERE Traffic Analytics deliver virtual counts from aggregated probe data rather than fixed sensor outputs. These tools fit planning and forecasting use cases but can lack the granular fixed-sensor behavior that MetroCount pneumatic tube studies provide.
Underestimating the need for turning movement outputs in intersection studies
Programs that require intersection phasing and movement analysis need turning movement counts from tools like Miovision Scout or Peek TRAQS. Video-only volume tools without turning movement support can force manual reconstruction and break downstream traffic modeling assumptions.
Ignoring scene complexity and occlusion patterns when validating video detection
Diamond Traffic Software is specifically positioned for occluded or busy scenes using neural network multi-object tracking. Peek TRAQS targets multi-lane and difficult conditions like poor lighting and occlusions, while NuMetrics NuAMP can be sensitive to video quality, so validation should include the worst-case camera views.
How We Selected and Ranked These Tools
We evaluated every tool on three sub-dimensions with features weighted at 0.40, ease of use weighted at 0.30, and value weighted at 0.30. The overall score equals 0.40 times features plus 0.30 times ease of use plus 0.30 times value. Miovision Scout separated from lower-ranked tools because its features combine real-time AI-driven multi-class detection with turning movements and a robust integration path via API, which scored strongly in the features dimension. The same weighting kept systems like MetroCount and Eco-Counter competitive when their reporting workflows and hardware fit the stated field or multimodal counting scenarios.
Frequently Asked Questions About Traffic Count Software
Which traffic count software is best when existing intersections already have CCTV cameras?
Miovision Scout, Diamond Traffic Software, Peek TRAQS, and NuMetrics NuAMP all process CCTV feeds to generate automated counts, classifications, and turning movements. Peek TRAQS and Miovision Scout are strong for multi-lane intersection work that needs turn-by-turn outputs without added field hardware.
What tool fits agencies that need traffic counts from mobile or probe data with no roadside sensors?
StreetLight Data, INRIX, TomTom Traffic Stats, and HERE Traffic Analytics estimate traffic volumes from aggregated probe signals instead of physical counters. StreetLight Data also supports origin-destination matrices and API-driven intersection and corridor queries, which complements planning workflows.
How do video analytics platforms compare when traffic is occluded or lanes are busy?
Diamond Traffic Software uses neural network-powered multi-object tracking to maintain accuracy under occlusion and dense traffic. Peek TRAQS also targets challenging conditions by using deep learning for multi-lane turning movement counts even with poor lighting or partial occlusions.
Which option supports turning movement counts for complex intersections without manual lane-by-lane coding?
Miovision Scout and Peek TRAQS both provide turning movement data directly from AI video detection on traffic cameras. NuMetrics NuAMP also outputs turning movements while handling multi-modal detection across vehicles, pedestrians, and cyclists.
When field crews already deploy pneumatic tube counters, which software handles the analysis workflow?
MetroCount is built around durable pneumatic tube counters paired with the MetroCount Traffic Analyst desktop workflow. Its MCTA software processes raw counter data into reports with vehicle classification, speed profiles, and traffic volume metrics.
Which platform is designed for multimodal counting that emphasizes bikes and pedestrians?
Eco-Counter combines infrared, pneumatic, and inductive counting hardware with Eco-Visio dashboards for bicycles, pedestrians, and vehicles. Eco-Visio also supports benchmarking against Eco-Counter’s global network to compare trends across cities.
What integrations and data handoffs are common for traffic engineering and planning models?
Peek TRAQS supports integrations with GIS and traffic modeling tools for planning analysis and reporting. StreetLight Data focuses on queryable visualizations plus API access for exporting traffic volume and travel pattern results into downstream systems.
Which software is most suitable for large regional coverage where segment-level counts are needed without installing counters everywhere?
INRIX provides historical AADT plus real-time volume estimates from probe data, enabling city-wide or regional traffic intelligence without physical sensors. TomTom Traffic Stats and HERE Traffic Analytics similarly deliver scalable traffic counts with route-level or segment-level statistics using probe networks.
What technical setup is required when teams want automation from existing camera feeds?
Miovision Scout, Diamond Traffic Software, Peek TRAQS, and NuMetrics NuAMP are designed to ingest video from existing traffic cameras and then run AI detection to produce counts and speed or turning outputs. Teams typically need a stable camera feed that covers the lanes and intersection geometry they want to measure, then configure detection zones for the target study area.
Tools reviewed
Referenced in the comparison table and product reviews above.
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