Mobility data
Mobility infrastructure and services are increasingly rationalized and continuously upgrading. Thinking them out is a process that relies primarily on input data and field measurements. Also when predicting future developments, real measurements are crucial to produce reliable models.
Active mobility
Pedestrians and cyclists require particular attention and have specific requirements when it comes to data collection:
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Counting and time variation analysis
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Wrong-way cyclists and signal behavior analysis
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Delay, number of stops, density and other comfort indicators
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Collision and safety analysis
Traffic planning
Using our technologies, we are able to:
Estimate annual average daily traffic (AADT)
Diagnosis of the current modal distribution
Analysis of demand data for daily peaks and seasonal variations
Identify current bottlenecks and routing choices in a given network or between given zones
Traffic management
Our technologies allow a frequent and affordable access to information to help efficiently operate traffic networks for all individual modes, such as:
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Up-to-date statistics of vehicle classes
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Directional counts at intersections
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Daily / weekly distribution of traffic intensity
Traffic engineering
Our technologies allow measurements up to the second and meter levels of precision, without compromising the ability to perform wide area and long-term analysis. Using video detection and floating car data, we are able to:
Measure the capacity, delay and stop frequency of all types of intersections
Statistically analyze queue and vehicle length variations in time
Audit the traffic safety using collision probability analysis