Traffic density on motorways, roads and main streets are a powerful decision-making factor for optimized route planning. For site assessments, too, this can also enable you to gain a valuable advantages over the competition. After all, traffic frequency data can provide information about the rate of sightings for outdoor advertising spaces, for instance, or the number of transit customers at a given location.
FAW-FREQUENZATLAS, exclusively available at DDS, contains the volume and structure of traffic flows for the whole of Germany.
Detailed information can be found on the corresponding product page for FAW-FREQUENZATLAS.
The traffic volume model for Germany PTV Validate from the company PTV AG provides details of traffic flow and volume. Road sections are classified according to mean traffic quantity on the basis of various related data such as 80,000 market cells, as well as population and commuter data. These then yield the average automobile load per day by segment, as well as the proportion of truck traffic. The total number of lanes is also taken into account, as well as the maximum speed per lane. For each road segment a cross-section value is also given, i.e., the total value for outward and return journeys.
As an extension to PTV Validate RUSH HOUR is precisely tailored to Digital Data Streets. It contains information specifying which road segment is driveable at which speed – even down to the time of day at an hour's resolution - for the entire German network of major highways. This enables realistic estimates to be made for the times in which the corresponding segment can actually be covered for all major roads in Germany.
In combination with PTV Validate, Rush Hour additionally delivers information regarding traffic volumes per road section, according to time of day.
Traffic magnitude may also be visualized with the aid of a suitable traffic network, such as "Digital Data Streets", in order to lend greater expressive power to site research, planning and outdoor advertising space, or even for urban and traffic planning.