Browsing by Autor "Luis Felipe Herrera-Quintero"

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IoT approach applied in the context of ITS: monitoring highways through instant messaging
(2015) Luis Felipe Herrera-Quintero; Klaus Banse; Julian Vega-Alfonso; Walid David Jalil-nasser; Oscar Elías Herrera Bedoya
Currently new technology approaches are changing the world in terms of how the people can feel or sense what is happening the whole the time. As regard of this and focusing on the transportation sector, the inhabitants of whatever country wish to know what is happening on the highways, even when they are travelling, in order to be able to take decisions in their routing and timing. There are several systems allow us knowing about the highways and its conditions, a well-known system is waze. However, waze requires a great amount of memory and phone hardware resources and many people do not have the kind of phone terminals that can supports the requirements. In this paper, we present a new way of monitoring taking advantage of an Internet of Things (IoT) approach in order to cooperate with the Intelligent Transportation Systems (ITS). In our scope, IoT brings to ITS a composite interconnected system that allows gathering and deploying information like an instant message system for the pedestrians, travelers and drivers. We use two hardware IoT platforms like Raspberry Pi and Intel Edison in order to create an ITS application that provides traffic information about the highways through common instant messaging applications.
Smart ITS Sensor for the Transportation Planning Based on IoT Approaches Using Serverless and Microservices Architecture
(Institute of Electrical and Electronics Engineers, 2018) Luis Felipe Herrera-Quintero; Julian Vega-Alfonso; Klaus Banse; Eduardo Carrillo
Currently, there are many challenges in the transportation scope that researchers are attempting to resolve, and one of them is transportation planning. The main contribution of this paper is the design and implementation of an ITS (Intelligent Transportation Systems) smart sensor prototype that incorporates and combines the Internet of Things (IoT) approaches using the Serverless and Microservice Architecture, to help the transportation planning for Bus Rapid Transit (BRT) systems. The ITS smart sensor prototype can detect several Bluetooth signals of several devices (e.g., from mobile phones) that people use while travelling by the BRT system (e.g., in Bogota city). From that information, the ITS smart-sensor prototype can create an O/D (origin/destiny) matrix for several BRT routes, and this information can be used by the Administrator Authorities (AA) to produce a suitable transportation planning for the BRT systems. In addition, this information can be used by the center of traffic management and the AA from ITS cloud services using the Serverless and Microservice architecture.
Smart ITS sensor for the transportation planning using the IoT and Bigdata approaches to produce ITS cloud services
(2016) Luis Felipe Herrera-Quintero; Klaus Banse; Julian Vega-Alfonso; Venegas-Sanchez Andres
Currently, there exist a lot of challenges in the transportation scope that researcher are trying to resolve and one of them can be focused on transportation planning. The main contribution of this paper was the design and implementation of an ITS smart sensor prototype that incorporates and combine the Internet of Things (IoT) and Bigdata approaches in order to produce ITS cloud services for helping transportation planning for Bus Rapid Transit (BRT) systems. The ITS smart sensor prototype is capable of detecting several Bluetooth signals belonging to several devices (for instance from mobile phones) that people uses into the BRT (for instance, in Bogota city) system. As from that information, the ITS smart sensor prototype can create the O/D (origin/Destiny) Matrix for several BRT routes and this information can be used by the Administrator Authorities (AA) in order to produce a suitable transportation planning for the BRT systems. In addition, that information can be used by AA as from cloud services.