Smartphone Based Context Flow Recognition For Outdoor Parking System

Outdoor parking system is one of the most crucial needs for smart cities to find the occupancy of parking in outdoor environments such as roadsides, university campus, and so on. Currently, there are many camera-based and external sensors-based parking systems available. The camera-based parking sys...

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Bibliographic Details
Main Author:	Hossen, Md Ismail
Format:	Thesis
Published:	2019
Subjects:	HE331-380 Traffic engineering Roads and highways Streets
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id	my-mmu-ep.7750
record_format	uketd_dc
spelling	my-mmu-ep.77502020-09-21T20:38:48Z Smartphone Based Context Flow Recognition For Outdoor Parking System 2019-06 Hossen, Md Ismail HE331-380 Traffic engineering. Roads and highways. Streets Outdoor parking system is one of the most crucial needs for smart cities to find the occupancy of parking in outdoor environments such as roadsides, university campus, and so on. Currently, there are many camera-based and external sensors-based parking systems available. The camera-based parking systems rely on camera set-up which is sophisticated, while sensors-based parking systems require installation of sensors at the parking spots or vehicles. Due to such complication, the deployment and maintenance costs of the existing parking systems are very high. Besides, the need for additional hardware and networks increases the cost and complexity which makes it difficult to use in outdoor environments. The objective of this research is to design a method to automatically detect the flow of a driver’s context for outdoor parking or unparking actions by taking advantage of the rapid deployment of smartphones. The proposed method has three major components, which are (1) signal pre-processing, (2) context recognition, and (3) context flow recognition. The input signals received from the user’s phone are preprocessed to prepare the raw input for further processing. After that, the context recognition component recognises the contexts of drivers. Lastly, context flow recognition detects the flows of activities to conclude whether the driver is parking or leaving the parking place. The driver’s activit ies flow like walking → idle→ driving, walking → driving tells whether the driver is leaving the parking space or parking his/her vehicle. 2019-06 Thesis http://shdl.mmu.edu.my/7750/ http://library.mmu.edu.my/library2/diglib/mmuetd/ masters Multimedia University Faculty of Information Science & Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	HE331-380 Traffic engineering Roads and highways Streets
spellingShingle	HE331-380 Traffic engineering Roads and highways Streets Hossen, Md Ismail Smartphone Based Context Flow Recognition For Outdoor Parking System
description	Outdoor parking system is one of the most crucial needs for smart cities to find the occupancy of parking in outdoor environments such as roadsides, university campus, and so on. Currently, there are many camera-based and external sensors-based parking systems available. The camera-based parking systems rely on camera set-up which is sophisticated, while sensors-based parking systems require installation of sensors at the parking spots or vehicles. Due to such complication, the deployment and maintenance costs of the existing parking systems are very high. Besides, the need for additional hardware and networks increases the cost and complexity which makes it difficult to use in outdoor environments. The objective of this research is to design a method to automatically detect the flow of a driver’s context for outdoor parking or unparking actions by taking advantage of the rapid deployment of smartphones. The proposed method has three major components, which are (1) signal pre-processing, (2) context recognition, and (3) context flow recognition. The input signals received from the user’s phone are preprocessed to prepare the raw input for further processing. After that, the context recognition component recognises the contexts of drivers. Lastly, context flow recognition detects the flows of activities to conclude whether the driver is parking or leaving the parking place. The driver’s activit ies flow like walking → idle→ driving, walking → driving tells whether the driver is leaving the parking space or parking his/her vehicle.
format	Thesis
qualification_level	Master's degree
author	Hossen, Md Ismail
author_facet	Hossen, Md Ismail
author_sort	Hossen, Md Ismail
title	Smartphone Based Context Flow Recognition For Outdoor Parking System
title_short	Smartphone Based Context Flow Recognition For Outdoor Parking System
title_full	Smartphone Based Context Flow Recognition For Outdoor Parking System
title_fullStr	Smartphone Based Context Flow Recognition For Outdoor Parking System
title_full_unstemmed	Smartphone Based Context Flow Recognition For Outdoor Parking System
title_sort	smartphone based context flow recognition for outdoor parking system
granting_institution	Multimedia University
granting_department	Faculty of Information Science & Technology
publishDate	2019
_version_	1747829673561161728

Smartphone Based Context Flow Recognition For Outdoor Parking System

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