Big Data Analytics for Smart and Connected Cities

Big Data Analytics for Smart and Connected Cities

Author: Dey, Nilanjan

Publisher: IGI Global

Published: 2018-09-07

Total Pages: 371

ISBN-13: 1522562087

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To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.


Smart Engineering System Design

Smart Engineering System Design

Author: Cihan H. Dagli

Publisher: American Society of Mechanical Engineers

Published: 2002

Total Pages: 1174

ISBN-13:

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Proceedings of the Artificial Neural Networks in Engineering Conference, November 2002, St. Louis, Missouri. This annual conference publication presents refereed papers covering the following categories and their applications in the engineering domain: Neural Networks, Complex Systems, Evolutionary Programming, Data Mining, Fuzzy Logic, Adaptive Control, Pattern Recognition and Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.


Vehicle Detector Evaluation

Vehicle Detector Evaluation

Author: Dan Middleton

Publisher:

Published: 2002

Total Pages: 174

ISBN-13:

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Most vehicle detection today relies on inductive loop detectors. However, problems with installation and maintenance of these detectors have necessitated evaluation of alternative detection systems. Replacing loops with better detectors requires a thorough evaluation of the alternatives. This research included examination of the performance characteristics, reliability, and cost of these technologies. The detection technologies included in this study were: video image detection, radar, Doppler microwave, passive acoustic, and a system based on inductive loops. Research results clearly indicate promising non-intrusive alternatives to loops, but their limitations must be understood. This research solicited information from a variety of agencies pertaining to installation and use of non-intrusive technologies and conducted field tests on a high volume freeway to determine their suitability for implementation. Findings indicate that non-intrusive detectors have improved since recent detector research sponsored by the Texas Department of Transportation. Count accuracies of 95% and speed accuracies within 5 mph of true values are common during free-flow conditions. During slower congested flow traffic, all non-intrusive device count accuracies degraded to the range of 70 to 90%, and most speed accuracies worsened as well--differing by 10 to 30 mph from the baseline system.