pedestrian streets as one type of urban public spaces have an important role in improving the quality of urban life. in iran, planning and designing of pedestrian streets is in its primary steps. in spite of starting this approach in iran, and designing several pedestrian streets, there are still not organized studies about quality assessment of pedestrian streets. as a result, the strength and...

To date there are no clear or uniform standards for a method to measure pedestrian crash rates and compare it against a statewide average. In this paper, a novel methodology to measure pedestrian crash rates along roadways and intersections were quantified. The main objective is to identify critical pedestrian crash locations that are operating above its corresponding statewide average. It was ...

Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms rely heavily on training data and do not perform well in handling various pedestrian deformations. To address this problem, we analyze the cause of pedestrian deformation and propose a method to adaptively describe the...

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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Speed profiles for motor vehicles on urban streets are influenced not only by the street design and traffic performance, events such as interactions with pedestrians and cyclists, buses, on-street parking, exits from minor roads etc. (called “side-friction events”) also affect driver behaviour. A bottom-up research methodology was developed and applied including a wide range of stationary and m...

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 ...