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Sensors 2015, 15(8), 20279-20304; doi:10.3390/s150820279

An Intelligent System Proposal for Improving the Safety and Accessibility of Public Transit by Highway

Institute for Cybernetic Science and Technology, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, Spain
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Academic Editor: Paul Mccullagh
Received: 26 March 2015 / Revised: 21 July 2015 / Accepted: 12 August 2015 / Published: 18 August 2015
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Abstract

The development of public transit systems that are accessible and safe for everyone, including people with special needs, is an objective that is justified from the civic and economic points of view. Unfortunately, public transit services are conceived for people who do not have reduced physical or cognitive abilities. In this paper, we present an intelligent public transit system by highway with the goal of facilitating access and improving the safety of public transit for persons with special needs. The system is deployed using components that are commonly available in transport infrastructure, e.g., sensors, mobile communications systems, and positioning systems. In addition, the system can operate in non-urban transport contexts, e.g., isolated rural areas, where the availability of basic infrastructure, such as electricity and communications infrastructures, is not always guaranteed. To construct the system, the principles and techniques of Ubiquitous Computing and Ambient Intelligence have been employed. To illustrate the utility of the system, two cases of services rendered by the system are described: the first case involves a surveillance system to guarantee accessibility at bus stops; the second case involves a route assistant for blind people. View Full-Text
Keywords: ubiquitous computing; ambient intelligence; intelligent transport systems ubiquitous computing; ambient intelligence; intelligent transport systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

García, C.R.; Quesada-Arencibia, A.; Cristóbal, T.; Padrón, G.; Pérez, R.; Alayón, F. An Intelligent System Proposal for Improving the Safety and Accessibility of Public Transit by Highway. Sensors 2015, 15, 20279-20304.

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