Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Automatic license plate recognition system location selection
Download
index.pdf
Date
2018
Author
Gör, Buğra
Metadata
Show full item record
Item Usage Stats
216
views
66
downloads
Cite This
With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determining optimal number and location of ALPR systems in order to maximize network coverage that consists of vehicle coverage and road coverage. The study provides numerical experiments designed for two cities in Turkey. Centralized and decentralized decision-making processes are compared and it is suggested that determining number and location of ALPR systems in a centralized manner would provide better network coverage. The relative importance of vehicle and road coverages that constitutes the network coverage is considered and optimal solutions for number and location of ALPR systems under various configurations are presented.
Subject Keywords
Traffic safety.
,
Automobile license plates.
,
Electronics in transportation.
,
Intelligent transportation systems.
URI
http://etd.lib.metu.edu.tr/upload/12622053/index.pdf
https://hdl.handle.net/11511/27258
Collections
Graduate School of Social Sciences, Thesis
Suggestions
OpenMETU
Core
An algorithm for multiscale license plate detection and rule-based character segmentation
Karalı, Ali Onur; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011)
License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed dist...
Capital adequacy ratio and bank profitability in Turkey
Saniç, Yusuf Halit; Şendeniz Yüncü, İlkay; Department of Business Administration (2018)
With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determ...
OPTIMIZATION OF PLATE RECOGNITION SENSOR LOCATIONS: A CASE STUDY IN TURKEY
Gör, Buğra; Karakaya, Gülşah (2021-01-01)
With the advances in sensor and data transfer technologies, the usage areas of Automatic License Plate Recognition (ALPR) systems have been expanded in the public and private sectors. In public safety, ALPR systems are used to monitor and control traffic data at both individual and collective levels. To build an efficient sensor network, the locations of ALPR systems should be determined optimally. This study provides an approach to determine optimal locations of ALPR systems that maximize network coverage ...
An End-to-end communication architecture for intelligent transportation systems: design, implementation and latency analysis
Bağcı, Çağatay; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2018)
Vehicle to anything (V2X) communication is a very significant component of Intelligent Transport Systems (ITS) applications. This thesis proposes an application layer communication architecture, ITSVeCon for V2X communications which enables communication among the end-hosts which can be vehicle Electronic Control Units (ECU)’s, Road Side Units (RSU)s, computers, smart phones or third party service providers. All these end-hosts are bi-directionally connected to the ITSVeCon Server where this server carries ...
A Generic and extendable system architecture for intelligent transportation systems /
Çetinkaya, Kaan; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2015)
Intelligent Transportation Systems (ITS) are distributed systems with different communicating parties which are vehicles with ITS-supporting On Board Units (OBUs), Road Side Units (RSU) and user mobile devices. These parties collectively run application services that are developed and managed by different application service providers by communicating among each other under certain timing constraints. In the current state of art, hardware, software and communications that are required to implement a given I...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Gör, “Automatic license plate recognition system location selection,” M.S. - Master of Science, Middle East Technical University, 2018.
