An integrated vehicular and urban sensing system : framework and modeling
We present the framework design and modeling for an integrated vehicular and human-centric urban sensing system. The goal is to understand the impact of vehicles and human activities on the surrounding environment. This is achieved through a seamless integration of the human aspect into vehicular an...
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sg-ntu-dr.10356-1062622019-12-10T12:42:37Z An integrated vehicular and urban sensing system : framework and modeling Lim, Hock Beng Soong, Boon Hee Nasir, Adnan School of Electrical and Electronic Engineering International Conference on Information Networking (2012 : Bali, Indonesia) Intelligent Systems Centre DRNTU::Engineering::Electrical and electronic engineering We present the framework design and modeling for an integrated vehicular and human-centric urban sensing system. The goal is to understand the impact of vehicles and human activities on the surrounding environment. This is achieved through a seamless integration of the human aspect into vehicular and urban sensing going beyond the traditional human-in-the-loop sampling methodologies. We describe the framework design of this system which allows humans to make decisions or take actions and gather feedback to understand the effect of those actions. Based on this framework, a prototype BusSense system has been developed based on the university campus shuttle buses. We describe the system architecture and implementation. We present tools for modeling the system based on Hidden Markov Models (HMM). These models are used for detecting events and identifying patterns in the data. We also present modeling results and analysis using the experimental data. 2013-10-18T07:31:19Z 2019-12-06T22:07:40Z 2013-10-18T07:31:19Z 2019-12-06T22:07:40Z 2012 2012 Conference Paper Nasir, A., Lim, H. B., & Soong, B. H. (2012). An integrated vehicular and urban sensing system : framework and modeling. 2012 International Conference on Information Networking (ICOIN)159-164. https://hdl.handle.net/10356/106262 http://hdl.handle.net/10220/16630 http://dx.doi.org/10.1109/ICOIN.2012.6164369 en © 2012 IEEE |
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DRNTU::Engineering::Electrical and electronic engineering Lim, Hock Beng Soong, Boon Hee Nasir, Adnan An integrated vehicular and urban sensing system : framework and modeling |
description |
We present the framework design and modeling for an integrated vehicular and human-centric urban sensing system. The goal is to understand the impact of vehicles and human activities on the surrounding environment. This is achieved through a seamless integration of the human aspect into vehicular and urban sensing going beyond the traditional human-in-the-loop sampling methodologies. We describe the framework design of this system which allows humans to make decisions or take actions and gather feedback to understand the effect of those actions. Based on this framework, a prototype BusSense system has been developed based on the university campus shuttle buses. We describe the system architecture and implementation. We present tools for modeling the system based on Hidden Markov Models (HMM). These models are used for detecting events and identifying patterns in the data. We also present modeling results and analysis using the experimental data. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Lim, Hock Beng Soong, Boon Hee Nasir, Adnan |
format |
Conference or Workshop Item |
author |
Lim, Hock Beng Soong, Boon Hee Nasir, Adnan |
author_sort |
Lim, Hock Beng |
title |
An integrated vehicular and urban sensing system : framework and modeling |
title_short |
An integrated vehicular and urban sensing system : framework and modeling |
title_full |
An integrated vehicular and urban sensing system : framework and modeling |
title_fullStr |
An integrated vehicular and urban sensing system : framework and modeling |
title_full_unstemmed |
An integrated vehicular and urban sensing system : framework and modeling |
title_sort |
integrated vehicular and urban sensing system : framework and modeling |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/106262 http://hdl.handle.net/10220/16630 http://dx.doi.org/10.1109/ICOIN.2012.6164369 |
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1681034594364686336 |