RT Journal Article
T1 Social-Aware Driver Assistance Systems for City Traffic in Shared Spaces
A1 Fernández-Isabel, Alberto
A1 Fuentes Fernández, Rubén
AB Shared spaces are gaining presence in cities, where a variety of players and mobility types (pedestrians, bicycles, motorcycles, and cars) move without specifically delimited areas. This makes the traffic they comprise challenging for automated systems. The information traditionally considered (e.g., streets, and obstacle positions and speeds) is not enough to build suitable models of the environment. The required explanatory and anticipation capabilities need additional information to improve them. Social aspects (e.g., goal of the displacement, companion, or available time) should be considered, as they have a strong influence on how people move and interact with the environment. This paper presents the Social-Aware Driver Assistance System (SADAS) approach to integrate this information into traffic systems. It relies on a domain-specific modelling language for social contexts and their changes. Specifications compliant with it describe social and system information, their links, and how to process them. Traffic social properties are the formalization within the language of relevant knowledge extracted from literature to interpret information. A multi-agent system architecture manages these specifications and additional processing resources. A SADAS can be connected to other parts of traffic systems by means of subscription-notification mechanisms. The case study to illustrate the approach applies social knowledge to predict people’s movements. It considers a distributed system for obstacle detection and tracking, and the intelligent management of traffic signals.
PB MDPI
SN 1424-8220
YR 2019
FD 2019-01-09
LK https://hdl.handle.net/20.500.14352/12690
UL https://hdl.handle.net/20.500.14352/12690
LA eng
NO Ministerio de Economía y Competitividad (MINECO)
NO Comunidad de Madrid/FEDER
NO Ministerio de Educación, Cultura y Deporte (MECD)
NO Universidad Complutense de Madrid/Banco de Santander
DS Docta Complutense
RD 8 may 2024