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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/83932/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|