Traffic data and parking survey companies need repeatable collection workflows for occupancy, dwell, turnover, kerbside activity, vehicle movement, validation and client-ready exports.
Collect bay activity, plate reads, occupancy and repeat vehicle movement without sending teams back to clipboards.
Measure loading, short-stay, pick-up, accessible, no-wait and turnover pressure across busy kerbs and activity centres.
Traffic data companies, parking survey teams, transport consultants and infrastructure operators can collect repeatable field data, validate it and deliver outputs without stitching together spreadsheets, camera files and manual counts.
Parking occupancy, dwell, turnover and kerbside studies can become expensive when every site needs manual observers and later spreadsheet clean-up.
Different crews, sites, cameras and spreadsheets can make it hard to compare surveys or defend a result months later.
Survey teams need a practical way to review reads, locations, timestamps, repeat vehicles, outliers and collection gaps before delivery.
Councils, consultants and asset owners need clear outputs: occupancy, turnover, dwell, repeat visits, counts, maps and evidence context.
These are mapped from Aero Ranger's product knowledge: mobile and fixed ANPR capture, surveys, occupancy checks, vehicle replay, zone analytics, Intel reporting, exports, device health and case/evidence workflows.
Use mobile or temporary camera collection to capture parking activity, vehicle reads, bay pressure and repeat visits across defined zones.
Surveys, mobile ANPR, fixed capture, zone setup and device health.Model zones and survey windows so teams can analyse peak occupancy, utilisation, stay duration, turnover and repeat vehicle activity.
Zone analytics, time analysis, vehicle replay and survey reporting.Support studies around loading zones, accessible spaces, short-stay bays, no-wait areas, pick-up/drop-off and busy activity-centre kerbs.
Zone profiles, schedules, activity capture and structured exports.Review vehicle events, images, timestamps, device status and location context before the survey result becomes a client deliverable.
Evidence records, device health, last seen status and audit history.Turn survey data into reports, repeatable exports, evidence packs and client-ready summaries for councils, consultants and asset owners.
Generate reports, exports, survey dashboard and Intel reporting.Create repeatable survey structures for retail centres, CBDs, hospitals, campuses, airports, beaches, events and council precincts.
Templates, zones, schedules, repeatable workflows and project-specific configuration.Survey and traffic-data teams can turn collection projects into repeatable CORE workflows with evidence, QA and client-ready outputs.
CORE feature areas
Occupancy, dwell, time analysis, returns, trend views and exports.
CORE featureZone setup, patrol areas, parking sessions and vehicle observations.
CORE featureQA checks, review notes, exception handling and project records.
CORE featureSurvey operating model for kerbs, car parks, routes and studies.
Relevant challenge workflows
Occupancy, turnover and dwell reported by zone or study area.
Challenge workflowTime-of-day and day-of-week patterns for planning and reporting.
Challenge workflowCoverage, vehicle movement and device activity tied to collection output.
Challenge workflowPatrol effort, scan volume, outcomes and utilisation analysed together.
Challenge workflowRepeated sightings and dwell evidence used for timed-area studies.
Challenge workflowTemporary demand profiles and before-after reporting for events.
Use dashboards, zone analysis, device health and case queues to move from vehicle activity to a well-documented review decision.
Survey companies do not just need more cameras. They need a reliable collection loop for scope, field capture, validation, QA, reporting and client delivery.
Survey vehicle routes, temporary sensors, car park sweeps and corridor studies become structured outputs for analysis and reporting.
Survey teams can capture occupancy, turnover, dwell and repeat visits across large car parks or mixed-use precincts.
Temporary AI-assisted collection can support corridor studies, turning movement context and curbside demand snapshots.
Survey operators can move from deployment to evidence review and export without rebuilding the data model for each client.
Use these field guides to configure zones, permits, alerts, devices, cases, tickets and review workflows.
Review survey activity, collection status and local-area reporting workflows.
Open tutorial ->Create client-ready outputs from collected survey and vehicle movement data.
Open tutorial ->Review repeat vehicles, movement paths and dwell context across a survey area.
Open tutorial ->Understand zone pressure, occupancy and utilisation across collection areas.
Open tutorial ->Use time-based views to understand peaks, dwell patterns and survey windows.
Open tutorial ->Understand how plate capture supports repeatable survey collection and QA.
Open tutorial ->The traffic data page is shaped around traffic study methods, monitoring guidance, automatic and manual count programs, kerbside management and parking survey practice.
Austroads guidance on traffic study and analysis methods supports structured survey scoping, data collection and analysis practice.
Austroads Guide to Traffic Management Part 3FHWA's Traffic Monitoring Guide covers data collection, traffic counting, classification and quality considerations for monitoring programs.
US Federal Highway AdministrationThe UK Department for Transport methodology note describes the use of manual traffic counts and automatic traffic counters in road traffic statistics.
UK Department for TransportNACTO's curb management guidance highlights competing uses such as loading, access, pick-up, drop-off and flexible street activity.
NACTO Curb AppealBook a working session with Aero Ranger to map your survey workflow, collection devices, QA process, outputs and client reporting.
