Infrastructureless positioning systems such as pedestrian dead reckoning suffer from error accumulation. This paper describes the application of a technique using self-deployed localization tokens and simultaneous localization and mapping to overcome this limitation. We successfully applied the technique known from mobile robotics to pedestrian self-localization based on pedestrian dead reckoni...

One of the most important needs of pedestrians is safety at crossing points, especially at intersections. Intersections are important parts of the urban road network because any disruption in them reduces the capacity of the entire network. The main objective of this research is to propose an appropriate method for prioritizing urban intersections with considering the important factors affectin...

A vehicle-pedestrian impact is a complex phenomenon in which a large number of variables take part simultaneously determining the injury severity of the pedestrian. Statistical techniques were applied to data from 43 pedestrian accidents that occurred in Madrid, following a similar approach to the one applied in previous publications from authors. In this case, however, the general research obj...

Aim of this simulation case study is to analyze waiting times and throughput at the security checkpoint of an international medium sized airport. The simulations shall provide the airport operator with the ability to easily change main impact parameters of an airport security checkpoint e.g. to test new security procedures, a flightplan with more passengers and also to optimize the security ope...

Image acquisition mode of the CMOS sensor is active, charge photosensitive diode of the output by direct amplification transistor. Moving object scale change and deformation; moving target in the tracking process or rotary motion, change and camera distance and perspective, will cause the target image scale change and deformation. In this paper, with a pedestrian movement target specific, stati...

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimensional Voronoi diagrams. The new definitions are (i) independent from an arbitrarily chosen discretization; (ii) appropriate for the multi-direct...

In the past decade, object detection has been researched to use a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. In addition, previous researches were unable to detect partially occluded pedestrian because the data to determi...

The Intermodal Simulator for the Analysis of Pedestrian Traffic (ISAPT) is being developed for the purpose of modeling pedestrian traffic within intermodal facilities, such that designers may evaluate the impact of building design on the Level of Service provided to pedestrians. The ISAPT system models each pedestrian’s behavior individually and the collective behavior of the crowd is allowed t...

We report on a stereo system for 3D detection and tracking of pedestrians in urban traffic scenes. The system is built around a probabilistic environment model which fuses evidence from dense 3D reconstruction and image-based pedestrian detection into a consistent interpretation of the observed scene, and a multi-hypothesis tracker to reconstruct the pedestrians’ trajectories in 3D coordinates ...

Pedestrian detection method is the highest priority for “active safety” which prevents traffic accidents before happens. In previous studies, edge orientation based feature descriptors are proposed. Recently, high standard detection algorithm, Co-occurrence Histograms of Oriented Gradients (CoHOG) is proposed. However, this method has miss detection in complicated situation and processing cost ...