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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Authors
Nithin k,Pranendra Reddy HG,Rohit Naduvinamani,Sudeep Magalad,Mrs.Shweta Sajjan
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Keywords
Artificial Intelligence (AI), Natural Language Processing (NLP), Conversational Agents, Chatbots, Interactive Dialogue Systems, Context-Aware Systems, Intent Recognition, Entity Extraction, Sentiment Analysis, Emotion Detection, Transformer Models (BERT, GPT, etc.), Deep Learning, Machine Learning (ML), Natural Language Understanding (NLU), Natural Language Generation (NLG), Reinforcement Learning, Multimodal Interaction (Voice/Text), Human-Computer Interaction (HCI), Smart Digital Assistan
Abstract
The exponential rise in urbanization and vehicle ownership has resulted in a substantial
increase in the demand for parking spaces in metropolitan cities. However, this surge has not
been matched by corresponding growth in parking infrastructure, leading to severe challenges
such as traffic congestion, time wastage, increased fuel consumption, and elevated pollution
levels. Studies indicate that a significant percentage of inner-city traffic is caused by drivers
circling in search of available parking spaces. This not only creates inefficiencies in urban
mobility but also contributes to driver frustration, missed appointments, and decreased
productivity. To address these persistent urban challenges, a smart and efficient parking space
management system (psms) is essential.
This paper proposes a comprehensive Parking Space Management System based on the
integration of emerging technologies such as the Internet of Things (IoT), cloud computing,
embedded systems, and mobile application development. The goal of the proposed system is to
optimize parking space usage, reduce traffic congestion, and provide real-time information to
drivers about available parking spaces. The system is designed to be user-friendly, scalable,
and adaptable to various environments such as shopping malls, office complexes, hospitals,
universities, and public parking lots.
At the core of the system is an IoT-based architecture that employs a network of sensors,
microcontrollers, and wireless communication protocols to monitor and transmit real-time data
about parking space occupancy. Ultrasonic or infrared sensors are placed in each parking slot to
detect the presence or absence of a vehicle. These sensors are connected to a central processing
unit, typically based on low-cost microcontrollers such as Arduino or Raspberry Pi, which
aggregates data and transmits it to a cloud-based server. This centralized data repository
processes incoming data and updates the status of each parking slot in real-time.
IJCRT's Publication Details
Unique Identification Number - IJCRT2509236
Paper ID - 293683
Author type - Indian Author
Page Number(s) - b942-b953
Pubished in - Volume 13 | Issue 9 | September 2025
DOI (Digital Object Identifier) -
No Of Downloads - 24
Author Country - India, 560035, Bangalore, Bangalore, 560035, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2509236
Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2509236
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Nithin k,Pranendra Reddy HG,Rohit Naduvinamani,Sudeep Magalad,Mrs.Shweta Sajjan, "Parking Space Management System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 9, pp.b942-b953, September 2025, Available at :http://www.ijcrt.org/papers/IJCRT2509236.pdf
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