The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Predicting the travel time in real time is challenging due to dynamic changes of the traffic. With the help of GPS, wireless mobile communication, and big data technologies, several link travel time distribution capturing algorithms have emerged to generate the prediction of the route travel time distribution in short term. In this paper, we propose a data fusion model which can combine the historical...
In order to reduce traffic accidents caused by the pedestrian, five kinds of dangerous pedestrian abnormal behaviors are studied in the paper. A behavior model between the pedestrian trajectory and the road is built to describe the five kinds of dangerous pedestrian abnormal behaviors: crossing road border, illegal stay, crossing the road, moving along the curb, entering road area. The method contains...
Monitoring ambient (outdoor) air quality in school surroundings is of great importance for the health of school children. To help schools in smart cities to assess whether ambient air exposure is unhealthy for school children, in this paper, we present a low-cost solar-powered air quality monitoring system based on ZigBee wireless network system technology. The solar powered network sensor nodes can...
In this paper, an event-oriented modeling methodology for agent-based smart transportation systems supported by the n-LNS Petri net formalism is proposed. The methodology allows modeling and incorporating capabilities of smart transportation systems as well as modeling smart transportation systems as an event-oriented system of systems. The proposed framework makes use of three hierarchical levels...
Developing new paradigms of user interaction is always challenging. The introduction of the Google Glass platform presents a novel way to deliver content to users. Clearly, the Glass platform is not going to become a mainstream consumer electronics product as it is; however it was an experimental program from which important practical lessons can be learned. We, as part of the Google Glass Explorer...
In this paper we describe a method of automatic motion tracking of a person in a sequence of video frames. The method is suitable for tracking a person walking or running in a surveillance video captured from a single still camera. The method initially removes noise from the captured images then segments the images using frame difference and binary conversion techniques and finally tracks the person...
Visual tracking is a fundamental research problem in computer vision field. In this paper, we propose an approach to incorporate visual prior into visual object tracking via deep neural network. Visual prior knowledge is expressed as the parameters of a stacked denoising autoencoder, which is trained from a large collection of natural images. By utilizing natural images, we can obtain generic image...
The emergence of technologies and the availability and accessibility of information through open data source has a big impact on companies' management strategies. Some companies make changes to be adaptable to the smart world. Dynamic pricing, reflective of available market information, as opposed to static pricing is a strategy towards the changing environment. This study shows a proof of concept...
The concept of "evidence-based policy making" (EBPM) has been gaining currency over the past decade and is being promoted by governments around the world as a mechanism for developing more effective and efficient policies and programs based on scientific evidence. Moreover, the advent of open government data, together with the increasing adoption of indicators and networked, mobile sensors...
Software systems deployed in a city offer services for users roaming around a city. These systems must cope with an ever changing environment, making them complex to develop, manage, and maintain. Problems encountered in the development of city-wide services include the discovery of unknown service components, the management and composition of components according to their surrounding environment,...
Participatory sensing has been advocated as a decentralized mechanism for getting up-to-date data about a city. However, this leads to data flowing only in one direction, from the citizen to the data collector. We advocate closing the loop, by creating a platform that aggregates participatory data, visualizes it, and provides utility from the data. We argue that this will lead to greater participation,...
3cixty is a flexible and modular platform that integrates heterogeneous data in a semantic knowledge base and provides a full API ecosystem that affords the rapid development of web and mobile apps. It allows answering complex queries that combine different types of information about events, places, and means of transportation in a city. We describe ExplorMI 360, the first large-scale solution based...
The aim of this paper is to identify and compare the evaluation models for social networks (SN) that can be installed in or utilized by a smart city. Evaluation purposes concern SN either selection or performance measurement. In this order, this paper investigates the SN domain with regard to the smart city. More specifically, it uses literature findings in order to demonstrate how SN can be evaluated...
Singapore faces a major challenge in providing care and support for senior citizens due to its rapidly ageing population and declining old-age support ratio. The concept of Ageing-in-Place was introduced by the Singapore government [1] to allow older people to live independently in their own homes and communities so that the need for institutionalised care will only be utilised when necessary. We...
Smart cities are equipped with sensors and communications infrastructures that can provide lots of data. In addition, citizens might use their smartphones to share information with the city and with other users. With the aim to use the infrastructure of smart cities to improve the quality of life of citizens and their healthcare system, the concept of smart health (s-health) was born. In this article...
The advent of digital technologies have caused cities to become increasingly connected with and reliant upon mobile, fixed, and remote sensing networks used toward urban planning, commerce, governance, and civic engagement. As sensor devices and sensor data become more ubiquitous over time in urban environments, it will be even more crucial to be critical of how sensor data are represented and how...
Transportation mode detection is important in understanding traffic conditions, facility performance, and residents' daily movements. Using GPS data collected from personal cellphones, this study analyzed mode classification methods for participants in Moscow, Idaho. Principal component analysis and semi-supervised Gaussian mixture models were implemented as major machine learning techniques applied...
This paper presents a novel sensor network design and implementation for advanced urban micro-climate monitoring and environment modeling for future adaptation of urban infrastructure. We present an appropriate framework for monitoring, modeling and ultimately manipulating the urban microclimate for efficient adaptation of future urban infrastructure. We validate/calibrate the various types of sensors...
Electricity is a scarce resource and ought to be saved. Users are often reluctant to save electricity because of many reasons, one of which is the physical effort that it entails. We present a method of saving electricity through the use of wireless smart plugs communicating to a wireless smart controller which have been designed and constructed so as to provide refined energy consumption information...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.