In this paper we discuss the benefits and challenges of designing customizable and adaptable applications for individuals to help improve their quality of life. As a supporting example, we describe our work learning user models to produce tailored pedestrian wayfinding directions for individuals with cognitive impairments.

This paper presents an on-going research focused on providing artificial intelligence to a traffic light controller. RACE intends to use this intelligent traffic light in its small educative traffic safety village, in which students exercise practices using traffic signs (vertical and horizontal) and traffic lights. One intersection in this village is controlled by traffic lights and the Univer...

Pedestrian-vehicle conflicts are considered as one of the most common safety problems at signalized intersections. The threat to pedestrian safety is mainly related to the interaction with turning vehicles, especially left-turners (left-hand traffic). This paper aims at analyzing the lag/gap acceptance behavior of left-turning vehicles considering pedestrian movement at signalized crosswalks. F...