Translated abstract:
Thesis’ subject is the estimation of traffic parameter per lane of a three lane motorway considering additional data detected by roadside sensors.
Influencing factors for traffic volume per lane are identified and their correlations are described. Cross-section information is derived from traffic data, which are delivered by right- and left-hand side installed sensors. Finally, the use of integration these identified relations into a macroscopic traffic flow model is demonstrated.