Sentence examples for density of pedestrians from inspiring English sources

The second column of Fig. 15 shows the overall overlapping area of the different methods with respect to the density of pedestrians in the scene.

As it concerns the last sub-model, it has been calibrated and validated with the results of experiments aiming at understanding the relationship between the speed of an electric scooter and the density of pedestrians [6].

In its most aggregate form it is: Open image in new window (1 which reads as "The quantity of interest M is the sum of first: number density of pedestrians, second: a flow-like value over some speed constant c1, and third: crowd pressure over the square of a second speed constant c2".

Environmental conditions that traverse all modes include weather (normal, rain, clouds, and snow), time of day (sunrise, afternoon, sunset, and night), and the density of pedestrians, traffic, and police officers.

Three factors, namely the length of evacuation route, time of evacuation process and density of pedestrian flow, are identified to have significant impacts on the efficiency of the evacuation process, especially at peak hours in a metro station.

From given densities of pedestrians observed at several points, our method derives a UPF mobility scenario that reproduces the walking behavior of pedestrians consistent with the observed densities, using linear programming techniques.

In particular, this paper attempts to: (a) interpret and predict densities of pedestrian movement though the effective study of configuration characteristics and syntactic properties of urban space; (b) identify inconsistencies and limitation in the prediction of pedestrian movement; (c) propose a methodological framework to overcome these limitations.

This is important, as it increases the effective length and therefore density of the pedestrians.

The factors influencing drivers' yield/go behaviour were: speed, traffic density, the number of pedestrians waiting to cross, and pedestrians being distracted.

Results also suggest that an increase in drift strength at low density and the percentage of pedestrians, who choose one of the furthest unoccupied Von Neumann neighbors from the dangerous source as the drift direction at high density, is helpful in crowd dispersion.

That is, in crosswalks with persistent pedestrian volumes and positive densities, the impact of pedestrian trip generation volumes and pedestrian density were corrected for endogeneity and selection bias.