Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification

作者：Fernandez Llorca David; Quintero Minguez Raul; Parra Alonso Ignacio; Fernandez Lopez Carlos; Garcia Daza Ivan; Angel Sotelo Miguel; Alen Cordero Cristina

来源：IEEE Intelligent Transportation Systems Magazine, 2017, 9(2): 25-40.

DOI：10.1109/MITS.2017.2666579

The main goal of Assistive Technology (AT) is to ensure the functional independence of disabled individuals. This paper proposes the definition of a new concept of AT within the context of the ITS, Assistive Intelligent Transportation System (AITS), analyzing its intrinsic requirements and providing a set of examples. We demonstrate that AITS must localize users with disabilities and identify their specific type of impairment in order to provide an efficient response, and we propose a specific procedure to guarantee anonymity while identifying the type of disability. Moreover, this new type of AT is illustrated by means of a new assistive intelligent pedestrian crossing application that is capable of localizing pedestrians with disabilities, identifying the specific type of impairment and providing an adaptive response to enhance functional capabilities of impaired pedestrians while crossing. By combining stereo-based object detection with radio-frequency identification technology (RFID and Bluetooth Low Energy), a specific solution to the problem of user localization and anonymous disability identification is proposed. Our approach has been validated in a real crosswalk scenario and it may be extended to other types of AITS, depending on the localization accuracy requirements and the range of operation of the specific application.

• 出版日期2017