Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS
PaperId: :  21683
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21683
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SNEHA TBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SINDHU N RBANNARI AMMAN INSTITUTE OF TECHNOLOGY
ISWARYA BBANNARI AMMAN INSTITUTE OF TECHNOLOGY
BIJU JBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

INFORMTION TACHNOLOGY
Parking occupancy, Parking spaces, opencv, Detection
The management of parking and urban mobility now heavily relies on parking occupancy forecast and pattern analysis. In order to optimize parking resource allocation, lessen traffic congestion, and improve the overall parking experience in urban areas, this research investigates the application of data analytics, machine learning, and real-time information systems. Due to rising population and automobile ownership, managing parking resources in urban settings has become a crucial concern. Congested parking lots, protracted searches for open spaces, and the ensuing traffic congestion are becoming routine urban annoyances. In response, this study conducts a thorough review of parking occupancy prediction and pattern analysis, providing a thorough examination of their use, methods, and effects. The research starts by doing a thorough assessment of the prior literature, exploring the major approaches, conclusions, and trends in the field of pattern analysis and parking occupancy prediction. This evaluation of the literature identifies knowledge gaps and sets the basis for further investigation. The first step of the study is to analyze the prior research and pinpoint the major trends and knowledge gaps. After that, it concentrates on creating parking occupancy predicting models, using historical data and current updates to produce precise projections. These models are included into smart parking systems that provide drivers with up-to-the-minute parking availability data via mobile applications and digital signs. In order to promote the best parking turnover and income creation, dynamic pricing solutions are investigated. The study also explores how parking management affects decisions about urban design, traffic flow, and sustainable mobility programs. Along with suggestions for future study, challenges relating to data privacy, system integration, and adjusting to dynamic urban changes are highlighted. The results show how parking occupancy prediction and pattern analysis may be used to design smarter, more efficient, and sustainable urban settings that will benefit both locals and tourists as well as the environment.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. "PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 933-938
MLA SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. "PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 933-938.
APA SNEHA T, SINDHU N R, ISWARYA B, & BIJU J. (2023). PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 933-938.
Chicago SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. "PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 933-938.
Oxford SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. 'PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 933-938. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/PARKING_OCCUPANCY_PREDICTION_AND_PATTERN_ANALYSIS_ijariie21683.pdf (Accessed : ).
Harvard SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. (2023) 'PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 933-938IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/PARKING_OCCUPANCY_PREDICTION_AND_PATTERN_ANALYSIS_ijariie21683.pdf (Accessed : )
IEEE SNEHA T, SINDHU N R, ISWARYA B, and BIJU J, "PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 933-938, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/PARKING_OCCUPANCY_PREDICTION_AND_PATTERN_ANALYSIS_ijariie21683.pdf [Accessed : ].
Turabian SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. "PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver SNEHA T, SINDHU N R, ISWARYA B, and BIJU J. PARKING OCCUPANCY PREDICTION AND PATTERN ANALYSIS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 933-938. Available from: https://ijariie.com/AdminUploadPdf/PARKING_OCCUPANCY_PREDICTION_AND_PATTERN_ANALYSIS_ijariie21683.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12