Iot-based parking violation detection for effective urban traffic management

The increasing number of vehicles on the road along with the mismanagement of available parking space leads to the parking-related problems as well as increased traffic congestion in urban areas. As result, it causes a critical issue for driver and the city municipality council. From the driver’s si...

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Main Authors: Yusof, Yusmeeraz, Muragan, Gajendran Rao
Format: Conference or Workshop Item
Published: 2018
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Online Access:http://eprints.utm.my/id/eprint/83932/
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spelling my.utm.839322019-11-17T08:28:03Z http://eprints.utm.my/id/eprint/83932/ Iot-based parking violation detection for effective urban traffic management Yusof, Yusmeeraz Muragan, Gajendran Rao TK Electrical engineering. Electronics Nuclear engineering The increasing number of vehicles on the road along with the mismanagement of available parking space leads to the parking-related problems as well as increased traffic congestion in urban areas. As result, it causes a critical issue for driver and the city municipality council. From the driver’s side, how to find an available parking lot in a city is a considerable concern. However, from the city municipality council’s side, how to manage and distribute such a limited public parking resource efficiently to give every visitor a fair chance of finding an on-street parking lot is also a considerable concern. The proposed solution to solve the problem is to raise a new perspective on such smart parking violation detection system for smart cities based on IoT. This system aims to help the parking authoritative officers to ease their job and reduce the manpower needed. It will assist parking management with a real-time detection of improper parking by estimating each vehicle’s duration of parking lot usage and automatically collect the parking charges. This system also detects the availability of parking space and allows the driver to make a reservation for parking lot beforehand. As a result, this parking violation detection system will solve city municipality council’s problem of controlling parking violation. Apart from that, this system is designed to assist authoritative officers in finding parking violations easily and recommends the least cost path for officers so that officers can achieve their highest productivity in finding parking violations and issuing parking tickets. This system will use Intel UP2 (UP Squared) board as main board for digital image processing using machine vision technology. Moreover, IoT cloud is employed to communicate with the Android mobile apps for data analysis and authorities. Mobile apps are for authoritative officers to get real-time data on a parking violation. 2018-11 Conference or Workshop Item PeerReviewed Yusof, Yusmeeraz and Muragan, Gajendran Rao (2018) Iot-based parking violation detection for effective urban traffic management. In: Proceedings of 2018 Electrical Engineering Symposium, 27 November 2018, Malaysia.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yusof, Yusmeeraz
Muragan, Gajendran Rao
Iot-based parking violation detection for effective urban traffic management
description The increasing number of vehicles on the road along with the mismanagement of available parking space leads to the parking-related problems as well as increased traffic congestion in urban areas. As result, it causes a critical issue for driver and the city municipality council. From the driver’s side, how to find an available parking lot in a city is a considerable concern. However, from the city municipality council’s side, how to manage and distribute such a limited public parking resource efficiently to give every visitor a fair chance of finding an on-street parking lot is also a considerable concern. The proposed solution to solve the problem is to raise a new perspective on such smart parking violation detection system for smart cities based on IoT. This system aims to help the parking authoritative officers to ease their job and reduce the manpower needed. It will assist parking management with a real-time detection of improper parking by estimating each vehicle’s duration of parking lot usage and automatically collect the parking charges. This system also detects the availability of parking space and allows the driver to make a reservation for parking lot beforehand. As a result, this parking violation detection system will solve city municipality council’s problem of controlling parking violation. Apart from that, this system is designed to assist authoritative officers in finding parking violations easily and recommends the least cost path for officers so that officers can achieve their highest productivity in finding parking violations and issuing parking tickets. This system will use Intel UP2 (UP Squared) board as main board for digital image processing using machine vision technology. Moreover, IoT cloud is employed to communicate with the Android mobile apps for data analysis and authorities. Mobile apps are for authoritative officers to get real-time data on a parking violation.
format Conference or Workshop Item
author Yusof, Yusmeeraz
Muragan, Gajendran Rao
author_facet Yusof, Yusmeeraz
Muragan, Gajendran Rao
author_sort Yusof, Yusmeeraz
title Iot-based parking violation detection for effective urban traffic management
title_short Iot-based parking violation detection for effective urban traffic management
title_full Iot-based parking violation detection for effective urban traffic management
title_fullStr Iot-based parking violation detection for effective urban traffic management
title_full_unstemmed Iot-based parking violation detection for effective urban traffic management
title_sort iot-based parking violation detection for effective urban traffic management
publishDate 2018
url http://eprints.utm.my/id/eprint/83932/
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score 13.160551