Pedestrian risk analysis at uncontrolled midblock and unsignalised intersections

Modelling Dynamic Scenes at Unsignalised Road Intersections

Understanding dynamic scenes at road intersections is both crucial and challenging for intelligent vehicles. In order to detect potentially dangerous situations, algorithms are needed that can interpret the behaviour of the actors in the scene and predict its likely evolution. The di culty of this task arises from the large number of possible scenarios. The conventional answer to this issue is ...

Evaluation of Pedestrian Safety at Midblock Crossings, Porto Alegre, Brazil

pedestrians and to analyze pedestrian safety at crossings. The main objective of this paper is to present the development of a method to evaluate the potential risk of pedestrian crashes at midblock crossings, consistent with the realities of developing countries. The method comprises the identification of high-frequency crash locations that involve pedestrians, the selection of factors associa...

PEDESTRIAN CONTROL AT INTERSECTIONS - Phase III April

Transferable Pedestrian Motion Prediction Models at Intersections

One desirable capability of autonomous cars is to accurately predict the pedestrian motion near intersections for safe and efficient trajectory planning. We are interested in developing transfer learning algorithms that can be trained on the pedestrian trajectories collected at one intersection and yet still provide accurate predictions of the trajectories at another, previously unseen intersec...

Estimating Pedestrian Volumes and Crashes at Urban Signalized Intersections

Crash prediction models are used to estimate the number of crashes using a set of explanatory variables. The highway safety community has used modeling techniques to predict vehicle-to-vehicle crashes for decades. Specifically, generalized linear models (GLMs) are commonly used because they can model non-linear count data such as motor vehicle crashes. Regression models such as the Poisson, Zer...