Lightweight Crowdsourcing: Monitoring Urban Travel Behavior Using Mobile-Based Sensing
Author:
Publisher:
Published: 2015
Total Pages:
ISBN-13:
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Architectural Research Addressing Societal Challenges
Author: Manuel Jorge Rodrigues Couceiro da Costa
Publisher: CRC Press
Published: 2019-08-08
Total Pages: 1267
ISBN-13: 1351849581
DOWNLOAD EBOOKThe escalating interdependecy of nations drives global geopolitics to shift ever more quickly. Societies seem unable to control any change that affects their cities, whether positively or negatively. Challenges are global, but solutions need to be implemented locally. How can architectural research contribute to the future of our changing society? How has it contributed in the past? The theme of the 10th EAAE/ARCC International Conference, “Architectural Research Addressing Societal Challenges”, was set to address these questions. This book, Architectural Research Addressing Societal Challenges, includes reviewed papers presented in June 2016, at the 10th EAAE/ARCC International Conference, which was held at the facilities of the Faculty of Architecture of the University of Lisbon. The papers have been further divided into the following five sub-themes: a Changing Society; In Transit – Global Migration; Renaturalization of the City; Emerging Fields of Architectural Practice; and Research on Architectural Education. The EAAE/ARCC International Conference, held under the aegis of the EAAE and of the ARCC, is a conference organized every other year, in collaboration with one of the member schools/ universities of those associations, alternatively in North America or in Europe.
Architectural Research Addressing Societal Challenges Volume 1
Author: Manuel Jorge Rodrigues Couceiro da Costa
Publisher: CRC Press
Published: 2017-09-19
Total Pages: 1320
ISBN-13: 135164758X
DOWNLOAD EBOOKThe EAAE/ARCC International Conference, held under the aegis of the EAAE (European Association for Architectural Education) and of the ARCC (Architectural Research Centers Consortium), is a conference organized every other year, in collaboration with one of the member schools / universities of those associations, alternatively in North America or in Europe. The EAAE/ARCC Conferences began at the North Carolina State University College of Design, Raleigh with a conference on Research in Design Education (1998); followed by conferences in Paris (2000), Montreal (2002), Dublin (2004), Philadelphia (2006), Copenhagen (2008), Washington (2010), Milan (2012) and Honolulu (2014). The conference discussions focus on research experiences in the field of architecture and architectural education, providing a critical forum for the dissemination and engagement of current ideas from around the world.
Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data
Author: Fei Yang
Publisher: Springer Nature
Published: 2022-03-19
Total Pages: 235
ISBN-13: 9811680086
DOWNLOAD EBOOKThis book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.
Mobility Data-Driven Urban Traffic Monitoring
Author: Zhidan Liu
Publisher: Springer Nature
Published: 2021-05-18
Total Pages: 75
ISBN-13: 9811622418
DOWNLOAD EBOOKThis book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.
Toward Crowdsensing-based Monitoring of Bridges Using Smartphones
Author: Nima Shirzad Ghaleroudkhani
Publisher:
Published: 2022
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKThe sustainability of urban cities is contingent upon the adequate performance of their infrastructure. The transportation system is one of the crucial components of the city infrastructure and the sustainability and the economic development of a city depend on its proper operation. Monitoring bridge structures, as key components of the transportation infrastructure, is a popular topic among researchers. While most conventional bridge monitoring methods focus on using fixed sensors, including accelerometers and strain gauges, to collect data, indirect bridge monitoring methods focus on using a moving sensor inside a vehicle as the data collector. As such, one mobile sensor can collect data from many bridges with no fixed instrumentation required, leading to a more efficient and cost-effective bridge monitoring. However, drive-by collected vibrations are significantly dominated by operational factors, including the vehicle and road features. Recent technology developments have provided invaluable tools for monitoring urban infrastructure. Smartphones, currently the most popular smart devices, are equipped with many sensors, which data could be used for monitoring urban infrastructure through a crowdsensed framework. In this regard, this thesis aims at proposing a crowdsensing-based indirect bridge monitoring method considering operational effects. A novel inverse filtering method is proposed to eliminate operational effects from drive-by vibrations and enhance bridge feature extraction. The off-bridge vibrations, i.e., when the vehicle is not on the bridge and is moving on the ground, is employed to create a filter capable of eliminating operational effects. Later, this filter is applied to the on-bridge vibrations to magnify bridge dynamic features. In the initial chapters of this thesis, the focus is on the frequency identification of bridges. Later, a more complex damage detection method using Mel-frequency cepstral analysis is applied in conjunction with inverse filtering. At each stage of this study, a series of controlled laboratory experiments and real-life tests are conducted to investigate the performance of the proposed method. The proposed approach is proved successful in eliminating operational effects from drive-by collected vibrations, addressing one of the major challenges facing indirect bridge monitoring. In addition, the data acquisition devices in the proposed method are passengers' smartphones, which demonstrates the potential of implementing the proposed method in crowdsensed frameworks for future smart cities.
Sensor and Data Fusion for Intelligent Transportation Systems
Author: Lawrence A. Klein
Publisher: SPIE-International Society for Optical Engineering
Published: 2019
Total Pages: 235
ISBN-13: 9781510627642
DOWNLOAD EBOOK"Sensor and Data Fusion for Intelligent Transportation Systems introduces readers to the roles of the data fusion processes defined by the Joint Directors of Laboratories (JDL) data fusion model, data fusion algorithms, and noteworthy applications of data fusion to ITS. Additionally, the monograph offers detailed descriptions of three of the widely applied data fusion techniques and their relevance to ITS (namely, Bayesian inference, Dempster-Shafer evidential reasoning, and Kalman filtering), and indicates directions for future research in the area of data fusion. The focus is on data fusion algorithms rather than on sensor and data fusion architectures, although the book does summarize factors that influence the selection of a fusion architecture and several architecture frameworks"--
Transport Survey Methods
Author: Johanna Zmud
Publisher: Emerald Group Publishing
Published: 2013-01-29
Total Pages: 821
ISBN-13: 1781902879
DOWNLOAD EBOOKCompiles the critical thinking on priority topics in contemporary transport policy and planning contexts. In this title, the contributed papers cover two key themes related to types of decision-making of importance to the development of data collection on both passenger travel and freight movements.
Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence
Author: Paulo Novais
Publisher: Springer
Published: 2018-11-04
Total Pages: 436
ISBN-13: 303001746X
DOWNLOAD EBOOKThe aim of the book is to introduce new developments in Ambient Intelligence from researchers of several countries. The book includes different works in the area of Ubiquitous Computing, e-Health, Ambient Assisted Living, Distributed Computing and Context Aware Computing that have been selected by an international committee. The studies have been presented in the 9th International Symposium on Ambient Intelligence held in Toledo in June 2018.
Sensor Technologies
Author: Michael J. McGrath
Publisher: Apress
Published: 2014-01-23
Total Pages: 321
ISBN-13: 1430260149
DOWNLOAD EBOOKSensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. The book provides an application-based approach using real-world examples to illustrate the application of sensor technologies in a practical and experiential manner. The book guides the reader from the formulation of the research question, through the design and validation process, to the deployment and management phase of sensor applications. The processes and examples used in the book are primarily based on research carried out by Intel or joint academic research programs. “Sensor Technologies: Healthcare, Wellness and Environmental Applications provides an extensive overview of sensing technologies and their applications in healthcare, wellness, and environmental monitoring. From sensor hardware to system applications and case studies, this book gives readers an in-depth understanding of the technologies and how they can be applied. I would highly recommend it to students or researchers who are interested in wireless sensing technologies and the associated applications.” Dr. Benny Lo Lecturer, The Hamlyn Centre, Imperial College of London “This timely addition to the literature on sensors covers the broad complexity of sensing, sensor types, and the vast range of existing and emerging applications in a very clearly written and accessible manner. It is particularly good at capturing the exciting possibilities that will occur as sensor networks merge with cloud-based ‘big data’ analytics to provide a host of new applications that will impact directly on the individual in ways we cannot fully predict at present. It really brings this home through the use of carefully chosen case studies that bring the overwhelming concept of 'big data' down to the personal level of individual life and health.” Dermot Diamond Director, National Centre for Sensor Research, Principal Investigator, CLARITY Centre for Sensor Web Technologies, Dublin City University "Sensor Technologies: Healthcare, Wellness and Environmental Applications takes the reader on an end-to-end journey of sensor technologies, covering the fundamentals from an engineering perspective, introducing how the data gleaned can be both processed and visualized, in addition to offering exemplar case studies in a number of application domains. It is a must-read for those studying any undergraduate course that involves sensor technologies. It also provides a thorough foundation for those involved in the research and development of applied sensor systems. I highly recommend it to any engineer who wishes to broaden their knowledge in this area!" Chris Nugent Professor of Biomedical Engineering, University of Ulster
