… for risk estimation and incompatible with real-time safety applications. As an alternative we
propose a novel approach to risk estimation … prediction to estimate the risk of a situation. …

… However, previous intersection safety analyses were conducted based on static and highly
aggregated data (eg, annual average daily traffic (AADT), annual crash frequency). These …

… to risk estimation, we propose to base the computation of the … of risk provides a lot of flexibility
for safety applications and is … reasoning about situations and risk at road intersections. In its …

… These components are the interface to the high level fusion platform which is intended to
extract information and enable risk assessment if the situation is safety critical [4]. …

… This study provides crash risk estimation at a micro-level by leveraging the powerful EVT
modeling approach, which is otherwise difficult to obtain using a conventional regression model…

… at urban four-leg signalized intersections. Furthermore, intersection safety is recognized as
one of … There is a trade-off between delay and safety at a signalized intersection that chiefly …

… by developing a set of models to quantify collision risk as a function of road geometry, … safety
risk and concomitant stress on drivers rather than on predicting crash rates. Collision risk is …

… safety analyses at intersections. This paper presents a review of behavior, and safety studies
at intersections, … Gap, risk and conflict studies are assigned to safety assessment category …

… the underlying safety risk patterns at signalized intersections. Therefore, this study aims to
achieve a better characterization of the spatio-temporal safety risk at signalized intersections. …

… and risk assessment algorithms for Intersection Safety … The demonstrator system is able
to observe the intersection … subsequent risk assessment judges possible individual risks …