13 research outputs found
Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities
[EN] Smart cities provide new applications based on Internet of Things (loT) technology. Moreover, Software Defined Networks (SDNs) offer the possibility of controlling the network based on applications requirements. One of the main problems that arise when an emergency happens is minimizing the delay time in emergency resource forwarding so as to reduce both human and material damages. In this paper, a new control system based on the integration of SDN and loT in smart city environments is proposed. This control system actuates when an emergency happens and modifies dynamically the routes of normal and emergency urban traffic in order to reduce the time that the emergency resources need to get to the emergency area. The architecture is based on a set of loT networks composed by traffic lights, traffic cameras and an algorithm. The algorithm controls the request of resources and the modification of routes in order to ease the movement of emergency service units. Afterwards, the proposal is tested by emulating a Smart City as a SDN-utilizing Mininet. The experiments show that the delay of the emergency traffic improves in a 33% when the algorithm is running. Moreover, the energy consumed by the loT nodes is modeled and the obtained results display that it increases linearly with the number of nodes, therefore, the proposal is scalable. (C) 2018 Elsevier B.V. All rights reserved.This work has been partially supported by the " Ministerio de Educacion, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2015)". Grant number FPU15/06837, by the "Ministerio de Economia y Competitividad", through the "Convocatoria 2014. Proyectos I+D - P rograma Estatal de Investigacion Cientifica y Tecnica de Excelencia" in the "Subprograma Estatal de Generacion de Conocimiento", project TIN 2014-57991- C 3 - 1 - P and through the "Convocatoria 2016 - Proyectos I+D+I - P rograma Estatal De Investigacion, Desarrollo e Innovacion Orientada a los retos de la sociedad" (Project TEC 2016 - 76795 - C 6 - 4 - R). This work has also been partially supported by the "Ministerio de Economia y Competitividad" in the "Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento" within the project under Grant TIN2017-84802-C2-1-P.Rego Mañez, A.; García-García, L.; Sendra, S.; Lloret, J. (2018). Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities. Future Generation Computer Systems. 88:243-253. https://doi.org/10.1016/j.future.2018.05.054S2432538
Public services provided with ICT in the smart city environment: the case of spanish cities
Social, technological and economic changes, citizen demand of services
modernization, new ICT developments related to the Internet of Things and an economic
situation that urges more efficient public administrations, have allowed the adoption of ICT by
municipalities in order to provide public services. All the foregoing constitutes a boost of the
smart city concept, which is considered in the scientific literature mainly from a technical point
of view, overlooking deeper analysis on the specific services being provided by means of smart
technologies. The current research identifies services provided using smart technologies at 26
Spanish smart cities and the degree of smart development of those cities based on which
services provide. The results highlight that the services most widely implemented are those that
allow direct reductions in local administration expenditure. On the other hand, the remaining
services enjoy greater perspectives of future development. Additionally, three groups of smart
city development have been identified, which allows benchmarking analysis and enhances the
exchange of information between the cities
Adaptive intelligent traffic control systems for improving traffic quality and congestion in smart cities
A systematic review was undertaken to examine the solutions available for traffic congestion and associated problems in smart cities. Google Scholar and Google were used as search engines, leading to the final selection of 35 eligible papers for inclusion in this review, after a serious of screening based on definite criteria. Intelligent transport systems were found to be the most suitable solution to traffic congestion and associated problems in smart cities. Certain models and frameworks of smart cities include smart mobility and transport management systems. These can be approximated to intelligent transport systems. True intelligent transport systems are infrastructure-based or intelligent vehicle based or more preferably, a combination of both. The Internet of Things and cloud computing should be built into the system as they enable the operation of smart transport networks. Some methods of designing traffic control systems combining both Eulerian and Lagrangian approaches have been discussed for the possibility of using any of them to design a new automatic traffic monitoring and control system for smart cities. The practical implication of this research is that it can improve quality of life of people by minimizing traffic congestion. Limitations of this paper include this being a systematic review, availability of very few papers and not considering adaptive intelligent traffic control systems. Explanations for these limitations have been provide
Detection of traffic congestion and incidents from GPS trace analysis
This paper presents an expert system for detecting traffic congestion and incidents from real-time GPS data collected from GPS trackers or drivers’ smartphones. First, GPS traces are pre-processed and placed in the road map. Then, the system assigns to each road segment of the map a traffic state based on the speeds of the vehicles. Finally, it sends to the users traffic alerts based on a spatiotemporal analysis of the classified segments. Each traffic alert contains the affected area, a traffic state (e.g., incident, slowed traffic, blocked traffic), and the estimated velocity of vehicles in the area. The proposed system is intended to be a valuable support tool in traffic management for municipalities and citizens. The information produced by the system can be successfully employed to adopt actions for improving the city mobility, e.g., regulate vehicular traffic, or can be exploited by the users, who may spontaneously decide to modify their path in order to avoid the traffic jam. The elaboration performed by the expert system is independent of the context (urban o non-urban) and may be directly employed in several city road networks with almost no change of the system parameters, and without the need for a learning process or historical data. The experimental analysis was performed using a combination of simulated GPS data and real GPS data from the city of Pisa. The results on incidents show a detection rate of 91.6%, and an average detection time lower than 7 min. Regarding congestion, we show how the system is able to recognize different levels of congestion depending on different road use
Smart cities: Advances in research—An information systems perspective
YesSmart cities employ information and communication technologies to improve: the quality of life for its citizens,
the local economy, transport, traffic management, environment, and interaction with government. Due to the
relevance of smart cities (also referred using other related terms such as Digital City, Information City, Intelligent
City, Knowledge-based City, Ubiquitous City, Wired City) to various stakeholders and the benefits and challenges
associated with its implementation, the concept of smart cities has attracted significant attention from researchers
within multiple fields, including information systems. This study provides a valuable synthesis of the relevant
literature by analysing and discussing the key findings from existing research on issues related to smart cities
from an Information Systems perspective. The research analysed and discussed in this study focuses on number
of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and
smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of
smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the
key underlying research themes within smart cities, highlighting the limitations of current developments and
potential future directions
Distributed Smart City Services for Urban Ecosystems
A Smart City is a high-performance urban context, where citizens live independently and are more aware of the surrounding opportunities, thanks to forward-looking development of economy politics, governance, mobility
and environment. ICT infrastructures play a key-role in this new research field being also a mean for society to allow new ideas to prosper and new, more efficient approaches to be developed. The aim of this work is to research and develop novel solutions, here called smart services, in order to solve several upcoming problems and known issues in urban areas and more in general in the modern society context. A specific focus is posed on smart governance and on privacy issues which have been arisen in the cellular age
Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring
Wireless sensor networks are proved to be effective in long-time localized torrential rain monitoring. However, the existing widely used architecture of wireless sensor networks for rain monitoring relies on network transportation and back-end calculation, which causes delay in response to heavy rain in localized areas. Our work improves the architecture by applying logistic regression and support vector machine classification to an intelligent wireless sensor node which is created by Raspberry Pi. The sensor nodes in front-end not only obtain data from sensors, but also can analyze the probabilities of upcoming heavy rain independently and give early warnings to local clients in time. When the sensor nodes send the probability to back-end server, the burdens of network transport are released. We demonstrate by simulation results that our sensor system architecture has potentiality to increase the local response to heavy rain. The monitoring capacity is also raised
Soluções IoT para caracterização de tráfego em cidades inteligentes
mestrado em Engenharia de Computadores e TelemáticaAs agências que administram o tráfego rodoviário têm de tomar decisões importantes,
a fim de definir quais as secções de estrada que têm o maior risco
de impactes relacionados com o tráfego. Neste contexto, reconhece-se que
a implementação do Sistema Avançado de Gestão de Tráfego (SAGT) pode
melhorar não apenas a eficiência da rede, mas também minimizar outras externalidades
de tráfego. Neste contexto, novas soluções de software e hardware,
capazes de fornecer informações melhoradas a partir da dinâmica do
tráfego, podem desempenhar um papel essencial no conhecimento que temos
e a forma como o SAGT é executado. Em particular, a disponibilidade de
dados georreferenciados está a aumentar rápidamente, seja em dispositivos
móveis, como em redes sociais e monitoramento de redes de sensores. Um
dos desafios é combinar e melhorar o potencial de cada fonte de informação,
e depois juntar várias fontes num modelo agregado. Nesta dissertação é
descrita a arquitetura e implementação de diferentes dispositivos para recolha
de dados, um protótipo para monitorização com integração de parâmetros
do motor em tempo-real e uma aplicação móvel, o desenvolvimento de toda
a infra-estrutura necessária e ainda uma aplicação web que combine estes
dados e forneça ferramentas de análise e visualização. Nesta dissertação é
possível que os utilizadores possam utilizar estas ferramentas para adotarem
escolhas mais sustentáveis e uso de estradas menos congestionadas, contribuindo
para a diminuição do congestionamento do tráfego, poupando tempo,
aumentando o fluxo de tráfego, e contribuindo positivamente para o impacte
ambiental.Agencies managing road traffic need to make informed decisions, in order to
define which road sections have the highest risk of traffic-related impacts. In
this context, it is recognized that the implementation of Advanced Traffic Management
System (ATMS) may improve not only network efficiency but also
minimize other traffic externalities. In this context, novel software and hardware
solutions, capable of providing improved information from the traffic dynamics,
can play an essential role in the knowledge we have, and the way
ATMS is executed. In particular, the availability of geo-referenced data is increasing
quickly, either from nomadic devices as well as from social media,
and monitoring sensors networks. One of the challenges is to combine and to
improve the potential of each source of information, and then combine multiple
sources together in an aggregate model. This dissertation describes the architecture
and implementation of an accurate, high-frequency vehicle tracker,
with the integration of real-time engine statistics, and enhanced with an autonomous
inertial model as well as a mobile application for data collection
from the embedded sensors and positioning, the development of all necessary
infrastructure and a web application that combine these data and provide
analysis and visualization tools. In this dissertation it is possible for users to
use these tools to adopt more sustainable choices and use of less congested
roads, contributing to the reduction of traffic congestion, saving time, improving
traffic throughput, and contributing positively to the environmental impact
DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks
The evolution of Smart City projects is pushing researchers and companies to develop more efficient embedded hardware and also more efficient communication technologies. These communication technologies are the focus of this work, presenting a new routing algorithm based on dynamically-allocated sub-networks and node roles. Among these features, our algorithm presents a fast set-up time, a reduced overhead and a hierarchical organization, which allows for the application of complex management techniques. This work presents a routing algorithm based on a dynamically-allocated hierarchical clustering, which uses the link quality indicator as a reference parameter, maximizing the network coverage and minimizing the control message overhead and the convergence time. The present work based its test scenario and analysis in the density measure, considered as a node degree. The routing algorithm is compared with some of the most well known routing algorithms for different scenario densiti