Midblock surveys measure traffic flow between junctions, providing an accurate view of corridor demand and road use. Counts can be tailored by direction, lane, vehicle class and time interval.
Cloud Traffic Data Solutions provides accurate traffic surveys, professional video analysis and quality-checked data for transportation planning, engineering and infrastructure projects.
About Us
Midblock surveys measure traffic flow between junctions, providing an accurate view of corridor demand and road use. Counts can be tailored by direction, lane, vehicle class and time interval.
Survey locations, periods, classifications and outputs are tailored to your exact project requirements.
Experienced teams and appropriate survey methods provide consistent coverage across the study area.
Every dataset is reviewed, validated and delivered in a clear, practical format.
Midblock surveys measure traffic flow between junctions, providing an accurate view of corridor demand and road use. Counts can be tailored by direction, lane, vehicle class and time interval.
Accurately observed, validated and reported for your project.
Accurately observed, validated and reported for your project.

Every survey is planned around the site, study objectives, required time intervals and final data format.
Included and tailored to the agreed survey specification.
Included and tailored to the agreed survey specification.
Included and tailored to the agreed survey specification.
Included and tailored to the agreed survey specification.
Included and tailored to the agreed survey specification.
Our experienced team manages the complete process from survey planning and field deployment through analysis, validation and final reporting.
Video cameras or automatic counters are positioned at representative road sections with clear coverage of every required lane. Data is processed and independently quality-checked.
Validated traffic volumes by direction, lane, class and interval, peak-hour summaries, daily profiles and clean datasets for transport planning and modelling.
