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...

In recent years, modelling crowd and evacuation dynamics has become very important, with increasing huge numbers of people gathering around the world for many reasons and events. The fact that our global population grows dramatically every year and the current public transport systems are able to transport large amounts of people heightens the risk of crowd panic or crush. Pedestrian models are...

Pedestrian detection is one of the most important research contents of road safety. The crucial idea behind such pedestrian safety systems is to protect the driver and pedestrian from any accident. In this paper, a pedestrian feature extraction based on applied log-Gabor filters is presented. The resulting filtered images show desirable segmentation performance which allows support vector machi...

One of the objectives of understanding pedestrian behavior is to predict the effect of proposed changes in the design or evaluation of pedestrian facilities. We want to know the impact to the user of the facilities (i.e. pedestrian), as the design of the facilities change. That impact was traditionally evaluated by level of service standards (LOS). Another design criterion to measure the impact...

We propose a way to introduce in microscopic pedestrian models a "social norm" in collision avoiding and overtaking, i.e. the tendency, shared by pedestrians belonging to the same culture, to avoid collisions and perform overtaking in a preferred direction. The "social norm" is implemented, regardless of the specific collision avoiding model, as a rotation in the perceived velocity vector of th...

Most studies of pedestrian injuries focus on reducing traumatic injuries due to the primary impact between the vehicle and the pedestrian. However, based on the Pedestrian Crash Data Study (PCDS), some researchers concluded that one of the leading causes of head injury for pedestrian crashes can be attributed to the secondary impact, defined as the impact of the pedestrian with the ground after...

There is now increasing emphasis on managing the urban transport for the benefit of all road users, particularly on the promotion of walking and cycling as more environmentally friendly modes of transport. Dynamic traffic signal controls in respond to pedestrian demand have been developed which give the flexibility and control to the network controllers to manage pedestrian and vehicle interact...

Pedestrian safety is a major concern due to the vulnerability of pedestrians versus other traffic, especially in urban environment. The fatalities and injuries suffered in pedestrian collisions often intensify the perceived severity of these accidents. The problem is particularly significant for transit bus operations because their operations encounter pedestrian traffic regularly in their rout...

In this paper, the calibration of a framework based in Multiagent Reinforcement Learning (RL) for generating motion simulations of pedestrian groups is presented. The framework sets a group of autonomous embodied agents that learn to control individually its instant velocity vector in scenarios with collisions and friction forces. The result of the process is a different learned motion controll...

The social force model which belongs to the microscopic pedestrian studies has been considered as the supreme model by many researchers and engineers due to the main feature of its capability in reproducing the self-organization phenomena resulting from pedestrian dynamics. Recently, some principles of this model have been modified by other researchers to overcome a shortcoming that the model c...