Space syntax matrix has been the main approach for human movement prediction in the urban environment. An alternative, relatively new methodology is an agentbased pedestrian model constructed using machine learning techniques. Even though both approaches have been studied intensively, the quantitative comparison between them has not been conducted. In this paper, comparative analysis of space s...

Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent simulators. One of the key challenges is to unearth governing principles that can model pedestrian movement, and use them to reproduce paths and behaviors that are frequently observed in human crowds. To that effect, we present a novel crowd simulation algorithm that aims to generate pedestrian t...

The article presents a methodology for an expert study of road accident with collision pedestrian, which is aimed at determining whether vehicle driver has the technical ability to avoid in specific situation. In addition, analysis methods presented description stages research and patterns movement pedestrian before occurrence accident. technique can be used by experts investigation accidents

In this paper, detection of pedestrian groups and counting of the number of pedestrians in each group using “subtraction stereo” are discussed. Subtraction stereo is a stereo vision method that focuses on the movement of objects to make a stereo camera robust and produces range images for moving regions. Pedestrian groups are detected with a standard labeling, and three dimensional (3D) feature...

The study of pedestrian behavior covers wide topics, including way finding, choice and decision make, as well as spatial cognition and environmental perception. To address the problem, simulation is now put forward as suitable technique and method for analyzing human spatial behavior. In the paper we present a development architecture for simulating tracking pedestrian in a distributed environm...

Among Advanced Driver Assistance Systems (ADAS) pedestrian detection is a common issue due to the vulnerability of pedestrians in the event of accidents. In the present work, a novel approach for pedestrian detection based on data fusion is presented. Data fusion helps to overcome the limitations inherent to each detection system (computer vision and laser scanner) and provides accurate and tru...

—The pedestrian inertial navigation systems are generally based on Pedestrian Dead Reckoning (PDR) algorithm. Considering the physiological characteristics of pedestrian movement, we use the cyclical characteristics and statistics of acceleration waveform and features which are associated with the walking speed to estimate the stride length. Due to the randomness of the pedestrian hand-held ha...

5 This study establishes a mathematical model that can represent the conflicting effects of two 6 pedestrian streams with an oblique intersecting angle in a large crowd. In a previous study, a 7 controlled experiment in which two streams of pedestrians were asked to walk in designated 8 directions was used to model the bi-directional pedestrian stream of certain intersecting angles. In this 9 s...

Today, more and more simulation tasks with a traditionally non-geometric background need to be embedded into some geometric context, in order to provide spatial context to non-spatial data. This holds especially true for graph-based applications in some location-aware context. As an example, one might think of a theme park or a large commercial center, where the customers shall be provided with...