The article aims at presenting the analysis of pedestrian behavior at transport stops, with special focus on tram platforms. The most important characteristics of a platform are length and width. Determining the level of service is also applied in international context on the basis of which the area is measurable. This article aims to show these briefly, and provides a recommendation for domestic application while incorporating the most characteristic features. On the basis of the measurement and micro-simulation, recommendation can be made for the level of service. The method of improving the quality of service is shown through the enlargement of the platform’s effective area.
ABSTRACT:Pedestrian flow is much less regulated and controlled compared to vehicle traffic. Estimating flow parameters would support many safety, security or commercial applications. Current paper discusses a method that enables acquiring information on pedestrian movements without disturbing and changing their motion. Profile laser scanner and depth camera have been applied to capture the geometry of the moving people as time series. Procedures have been developed to derive complex flow parameters, such as count, volume, walking direction and velocity from laser scanned point clouds. Since no images are captured from the faces of pedestrians, no privacy issues raised. The paper includes accuracy analysis of the estimated parameters based on video footage as reference. Due to the dense point clouds, detailed geometry analysis has been conducted to obtain the height and shoulder width of pedestrians and to detect whether luggage has been carried or not. The derived parameters support safety (e.g. detecting critical pedestrian density in mass events), security (e.g. detecting prohibited baggage in endangered areas) and commercial applications (e.g. counting pedestrians at all entrances/exits of a shopping mall).
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