Design of escape routes by human performance data depends on flow rates given by e.g. the maxima of the flow - density relation. Although there are many different studies about this relation, even so for the qualitative shape there is still no accordance. To enhance the empirical database we performed experiments with up to 107 test persons under laboratory conditions to get actual data of local densities, speeds and flow in planar corridors. Due to new methods of digital image processing our analysis is based on data (trajectories) of very high accuracy. Thus we are able to present new insights into the relations between density, speed and flow. In this contribution we present an extract of our current studies concerning speed, density and flow in planar corridors. We also show effects of different measurement procedures on the results. Moreover we used six different shapes of measurement areas to point out the influence of this parameter. For the mean value of the speed and flow there are differences up to 100% when fluctuations are not considered. In this contribution we focus on the results of experiments in planar corridors. In total there were three experimental-setups (see Figure 1) with different widths of the corridor (b=0.7m; b=0.85m; b=1.0m) and different numbers of people (14 ≤ N ≤ 107). All together we performed 29 runs over three days. At a width of b=0.7m just single file movement was possible, the wider setups also allowed movement of people side-by-side. The test persons were evenly distributed inside the setup. An overview of all experiments performed in this series is given in . With the help of industrial cameras and special software tool trajectories with high accuracy  could be extracted in the region of interest (see figure 1). By the use of these exact trajectories we are able to analyse the data inside the region of interest concerning local pedestrian density, speed and flow.
We will show influences of chosen measurement areas on resulting values of speed, density and flow. Due to different corridor-widths the measurement area had to be adjusted, too. So, this analysis is another approach to explain differences in several studies of pedestrian movement. Thereby our study also represents an enlargement of the fundamental database for macroscopic data of pedestrian movement. Furthermore we show influences of chosen method of measurement for flow on resulting values. We will also show dependencies of density and speed on time (see figure 2) as well as the relation between flow and speed, resp. flow and density. During the experiments we measured local densities up to 8 Persons/m2 and speeds up to 1.6 m/s (see figure 2). Hence we will present some new data for human performance.