Innovative web applications for analyzing traffic operations
The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition...
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ndltd-fau.edu-oai-fau.digital.flvc.org-fau_316012019-07-04T03:56:12Z Innovative web applications for analyzing traffic operations FA00004459 Petrovska, Natasha (author) Furht, Borko (Thesis advisor) Stevanovic, Aleksandar (Thesis advisor) Florida Atlantic University (Degree grantor) College of Engineering and Computer Science Department of Computer and Electrical Engineering and Computer Science 91 p. application/pdf Electronic Thesis or Dissertation Text English The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications. This thesis introduces three novel web applications with an aim to offer traffic operators, managers, and analysts’ possibility to monitor the congestion, and analyze incidents and signal performance measures. They offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these visualization tools is more efficient estimation of the performance of local networks, thus facilitating the decision making process in case of emergency events. Florida Atlantic University Application program interfaces (Computer software) Internet -- Mathematical models Traffic congestion -- Management Traffic estimation -- Computer simulation Transportation demand -- Forecasting Includes bibliography. Thesis (M.S.)--Florida Atlantic University, 2015 FAU Electronic Theses and Dissertations Collection Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. http://purl.flvc.org/fau/fd/FA00004459 http://purl.flvc.org/fau/fd/FA00004459 http://rightsstatements.org/vocab/InC/1.0/ https://fau.digital.flvc.org/islandora/object/fau%3A31601/datastream/TN/view/Innovative%20web%20applications%20for%20analyzing%20traffic%20operations.jpg |
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English |
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Application program interfaces (Computer software) Internet -- Mathematical models Traffic congestion -- Management Traffic estimation -- Computer simulation Transportation demand -- Forecasting |
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Application program interfaces (Computer software) Internet -- Mathematical models Traffic congestion -- Management Traffic estimation -- Computer simulation Transportation demand -- Forecasting Innovative web applications for analyzing traffic operations |
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The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications. This thesis introduces three novel web applications with an aim to offer traffic operators, managers, and analysts’ possibility to monitor the congestion, and analyze incidents and signal performance measures. They offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these visualization tools is more efficient estimation of the performance of local networks, thus facilitating the decision making process in case of emergency events. === Includes bibliography. === Thesis (M.S.)--Florida Atlantic University, 2015 === FAU Electronic Theses and Dissertations Collection |
author2 |
Petrovska, Natasha (author) |
author_facet |
Petrovska, Natasha (author) |
title |
Innovative web applications for analyzing traffic operations |
title_short |
Innovative web applications for analyzing traffic operations |
title_full |
Innovative web applications for analyzing traffic operations |
title_fullStr |
Innovative web applications for analyzing traffic operations |
title_full_unstemmed |
Innovative web applications for analyzing traffic operations |
title_sort |
innovative web applications for analyzing traffic operations |
publisher |
Florida Atlantic University |
url |
http://purl.flvc.org/fau/fd/FA00004459 http://purl.flvc.org/fau/fd/FA00004459 |
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1719219280928571392 |