Quantifying effects of crosswalk length and signal timing on pedestrians’ presence position and timing is an important requirement for evaluating the probability of conflict. It can be utilized to provide a rational safety assessment and improve existing operational policies at signalized intersections. This study investigates the effects of crosswalk length and pedestrian green time on the spa...

Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily configurable to a new domain or environment. In this paper, we present work on a general object detection system that can be trained to detect different types of objects; we will focus on the task of pedestrian detection. Th...

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To deal with many pedestrian data, automatic data collection is needed. This paper describes how to automate the microscopic pedestrian flow data collection from video files. The study is restricted only to pedestrians without considering vehicular pedestrian interaction. Pedestrian tracking system consists of three sub-systems, which calculates the image processing, object tracking and traffic...

This paper presents an analysis of pedestrian traffic performance from an empirical study. Video footage from a university building corridor was used to quantify pedestrian behavior for inclusion in a pedestrian simulation model. A coordinate conversion technique that maps images in the footage onto a real-world coordinate system was used for data collection. Pedestrian characteristics such as ...

pay attention to the public transportation, cycling and pedestrian oriented development (pod) and car-free streets can increase the quality of urban spaces and create more secure pedestrians with psychological comfort for human. old urban fabric with hidden physical, historical, and cultural values has been the best evidence of urban identity and meanwhile, the life and growth of this fabric ha...

usually staggered to separate the two crossings as shown in Figure 2. Staggered crossings are designed to force pedestrians to face the upcoming traffic and to avoid the confusion that pedestrians may see the further pedestrian signal indication when they are supposed to follow the first-stage signal. Staggered crossings are implemented widely in the United Kingdom and Japan and are recommended...

The paper focuses on motion-based information extraction from video imagesequences. A novel method is introduced which can reliably detect walking human figures contained in such images. The method works with spatiotemporal input information to detect and classify the patterns typical of human movement. Our algorithm consists of easy-to-optimise operations, which in practical applications is an...

We present a novel Dynamic Bayesian Network for pedestrian path prediction in the intelligent vehicle domain. The model incorporates the pedestrian situational awareness, situation criticality and spatial layout of the environment as latent states on top of a Switching Linear Dynamical System (SLDS) to anticipate changes in the pedestrian dynamics. Using computer vision, situational awareness i...