A meander is observed in collective motion of some kinds of organisms, for exmaple, a school of fishes and a flight of bats. It is interesting problem to explore why such a motion emerges. In order to investigate the dynamics of organisms, we adopt a two dimensional optimal velocity model, which has been proposed as a dynamical model for the pedestrian flow. Some features in the pedestrian flow...

A large scale pedestrian simulation method, implemented with an agent based modelling paradigm, is presented within this paper. It allows rapid prototyping and real-time modifications, suitable for quick generation and testing of the viability of pedestrian movement in urban environments. The techniques described for pedestrian simulation make use of parallel processing through graphics card ha...

Pedestrian volume information is critical to study traffic safety as well as to plan for pedestrian friendly design. We present a model used to estimate the pedestrian volumes for street intersections in the city of San Francisco, California. Through regression analysis at multiple geographical scales, a set of socioeconomic variables and built-environment characteristics were examined. Three f...

Collisions between vehicles and pedestrians continue to occur at a high rate each year, resulting in several thousand pedestrian injuries and deaths in the United States alone. In addition to the natural environmental factors (i.e. precipitation, lighting, temperature, etc.), factors related to the infrastructure in which pedestrians walk impact the safety performance of a given roadway segment...

Intention recognition of pedestrians is crucial to safe and reliable working of 1 autonomous vehicles, when serving as, for instance, indoor service robots or 2 self-driving cars in busy urban scenes. Previously, Chen et al. [2016] combined 3 Markovian-based and clustering-based approaches to learn motion primitives and 4 subsequently predict pedestrian trajectories by modeling the transition b...

It is suggested that the motion of pedestrians can be described as if they would be subject to ‘social forces’. These ‘forces’ are not directly exerted by the pedestrians’ personal environment, but they are a measure for the internal motivations of the individuals to perform certain actions (movements). The corresponding force concept is discussed in more detail and can be also applied to the d...

Intention recognition of pedestrians is crucial to safe and reliable working of autonomous vehicles, when serving as, for instance, indoor service robots or self-driving cars in busy urban scenes. Previously, Chen et al. [2016] combined Markovian-based and clustering-based approaches to learn motion primitives and subsequently predict pedestrian trajectories by modeling the transition between l...

We introduce a modeling approach for pedestrian speed-density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern we relax the homogeneity assumption of equilibrium relations and propose a multi-class model. In addition to the general modeling framework, we also present some concrete m...

This research paper lays stress on philosophies of human desire. All the human being has some psychical need in addition to physical needs. And to satisfy the psychical needs, there is a need for stimulants, more in case of exclusive pedestrian precincts. Having exclusively Pedestrian precincts/Cores in city design draws its inspiration from the fact that public zones, accessible to majority of...

ABSTRACT A vibrant and commercially active center is often the result of interesting, diverse building styles and or built-forms, pedestrian density along with variety of quality public places where people feel comfortable, spending time and shopping items for domestic and commercial functions in cities like Addis Ababa. The scale and design of buildings, pedestrian density, and other phy...