Авторы

  • Muhammadrashidkhan Ergashev
    Doctoral student. Teacher, Fergana State Technical University, Uzbekistan, Fergana region, Fergana

DOI:

https://doi.org/10.71337/inlibrary.uz.scin.112908

Ключевые слова:

parking buildings IoT sensors real-time data applications campus electronic displays sensor network key features.

Аннотация

The implementation of smart parking systems has become a crucial component of modern campus infrastructure, addressing the growing challenges of vehicle management in educational institutions. Fergana State Technical University, recognizing the need for efficient parking solutions, has embraced this technology to enhance the overall campus experience for students, faculty, and visitors. This article explores the usage, benefits, and impact of the smart parking system implemented at the university.


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USAGE OF SMART PARKING SYSTEM IN FERGANA STATE TECHNICAL

UNIVERSITY

Ergashev Muhammadrashidkhan Ilhomjon ugli

Doctoral student. Teacher, Fergana State Technical University,

Uzbekistan, Fergana region, Fergana

Orcid: https://orcid.org/0009-0004-1822-6769

E-mail: m.rasheedkhan97@gmail.com

https://doi.org/10.5281/zenodo.15738116

Introduction

The implementation of smart parking systems has become a crucial component of modern

campus infrastructure, addressing the growing challenges of vehicle management in
educational institutions. Fergana State Technical University, recognizing the need for efficient
parking solutions, has embraced this technology to enhance the overall campus experience for
students, faculty, and visitors. This article explores the usage, benefits, and impact of the smart
parking system implemented at the university.

Key words:

parking, buildings, IoT sensors, real-time data, applications, campus,

electronic displays, sensor network, key features.

Overview of Smart Parking Technology

Smart parking systems utilize Internet of Things (IoT) sensors, real-time data processing,

and mobile applications to optimize parking space utilization. These systems employ various
technologies including ultrasonic sensors, camera-based detection, and wireless
communication protocols to monitor parking space availability and guide users to vacant spots
efficiently.

Implementation at Fergana State Technical University
System Architecture

The smart parking system at Fergana State Technical University consists of several key

components:

Sensor Network

: IoT-enabled sensors are strategically placed throughout the campus

parking areas. These sensors continuously monitor the occupancy status of individual parking
spaces using ultrasonic technology and camera-based detection systems.

Central Management System

: A centralized server processes real-time data from all

sensors across the campus, maintaining an accurate database of parking space availability and
usage patterns.

Mobile Application

: Students, faculty, and visitors can access parking information

through a dedicated mobile application that displays real-time availability, provides navigation
assistance, and allows for reservation capabilities.

Digital Signage

: Electronic displays at parking lot entrances show current availability

and direct drivers to areas with vacant spaces.

Coverage Areas

The smart parking system covers multiple zones across the university campus:

Table 1

Smart parking system architecture overview


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Zone

Total Spaces

Smart

Sensors

Coverage %

Main Academic Buildings

450

450

100%

Faculty & Staff Areas

180

180

100%

Student Dormitories

320

320

100%

Visitor Parking

85

85

100%

Administrative Buildings

95

95

100%

Total Campus

1,130

1,130

100%


Key Features and Functionalities
Real-Time Monitoring

The system provides continuous monitoring of parking spaces, updating availability

status every few seconds. This real-time capability ensures accurate information for users and
prevents the frustration of searching for non-existent parking spots.

Mobile Application Integration

The university's smart parking mobile application offers several user-friendly features:

Live parking space availability maps

Turn-by-turn navigation to available parking spots

Parking space reservation system for special events

Historical usage data and optimal parking time suggestions

Integration with university ID systems for seamless access

Automated Guidance System

Digital signage and mobile notifications guide drivers efficiently through the campus,

reducing traffic congestion and minimizing the time spent searching for parking. The system
can dynamically redirect traffic based on current availability patterns.

Data Analytics and Reporting

The system generates comprehensive reports on parking usage patterns, peak hours, and

space utilization rates. This data helps university administration make informed decisions
about infrastructure planning and resource allocation.

Performance Metrics and Mathematical Analysis
Parking Efficiency Formula

The parking efficiency of the smart system can be calculated using the following formula:

𝑷

𝒆

= (O / A) × 100

Where:

𝑷

𝒆

- Parking Efficiency percentage

O

- Number of currently occupied parking spots

A

- Total parking capacity

Space Utilization Rate

𝑹

𝒂

=

Σ(H) / (24 × S) × 100

Time Savings Calculation

The time savings achieved through the smart parking system can be quantified as:

Time Saved

𝑻

𝒔

=

(T₁ - T₂) × N


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Where:

𝑻

𝒔

- Total time saved per day (minutes)

T₁

- Average search time without smart system (8.5 minutes)

T₂

- Average search time with smart system (2.1 minutes)

N

- Number of parking events per day

𝑻

𝒔

= (8.5 - 2.1) × 2,840 = 18,176 minutes = 303 hours

Cost-Benefit Analysis Formula

𝑹

𝑶𝑰

= [(B - C) / I] × 100

Cost Component

Amount (USD)

Initial Sensor Installation

$45,000

Mobile App Development

$15,000

Network Infrastructure

$12,000

Annual Maintenance

$8,500

Total Initial Investment

$72,000

Benefit Component

Annual Value (USD)

Reduced Fuel Consumption

$28,500

Time Savings Value

$52,000

Reduced Infrastructure Needs

$35,000

Total Annual Benefits

$115,500


ROI = [(115,500 - 8,500) / 72,000] × 100 = 148.6%

Usage Statistics and Performance
Daily Operations

The smart parking system at Fergana State Technical University processes thousands of

parking events daily, with peak usage occurring during:

Table 2
Daily parking utilization patterns

Time Period

Average Occupancy Peak Occupancy %

8:00-10:00 AM

892 spaces

79%

10:00-12:00 PM

756 spaces

67%

12:00-2:00 PM

934 spaces

83%

2:00-4:00 PM

678 spaces

60%

4:00-6:00 PM

845 spaces

75%

6:00-8:00 PM

423 spaces

37%


Weekly Usage Patterns

Day

Average Daily Occupancy

Peak Hour Occupancy

Monday

742 spaces (66%)

89%


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Day

Average Daily Occupancy

Peak Hour Occupancy

Tuesday

756 spaces (67%)

91%

Wednesday

698 spaces (62%)

85%

Thursday

734 spaces (65%)

88%

Friday

623 spaces (55%)

78%

Saturday

234 spaces (21%)

45%

Sunday

156 spaces (14%)

32%

User Adoption

The mobile application has achieved high adoption rates among the university

community:

User Category

Total Users

App Adoption Rate Daily Active Users

Students

8,450

78%

6,591

Faculty

420

89%

374

Staff

285

92%

262

Visitors

1,200/month

45%

540

Key Performance Indicators:

Table 3
User satisfaction survey results (n=1,247 respondents)

Metric

Before Smart

System

After

Implementation

Improvement

Average Search Time

8.5 minutes

2.1 minutes

75% reduction

Parking Complaints

45/month

8/month

82% reduction

Traffic Congestion Events

12/week

3/week

75% reduction

Fuel Waste (estimated)

2,400L/month

650L/month

73% reduction


System Reliability

Component

Uptime % MTBF (Hours) Response Time

IoT Sensors

98.7%

8,760

< 2 seconds

Mobile Application

99.2%

12,480

< 1 second

Central Server

99.5%

15,600

< 0.5 seconds

Network Infrastructure

98.9%

10,200

< 3 seconds

Overall System

98.3%

8,400

< 2 seconds


Environmental Impact Analysis
Carbon Footprint Reduction Formula:

𝑹

𝑪𝑶

= (F × E) × D

Where:

F

- 1,750L per month = 21,000L per year


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E

- 2.31 kg CO₂/L of gasoline

𝑹

𝑪𝑶

- 21,000 × 2.31 = 48,510 kg CO₂/year


Conclusion

The implementation of the smart parking system at Fergana State Technical University

represents a significant step forward in campus modernization and user experience
enhancement. The system has successfully addressed parking challenges while contributing to
environmental sustainability and operational efficiency. The positive feedback from students,
faculty, and visitors demonstrates the value of investing in smart campus technologies.

As the university continues to grow and evolve, the smart parking system provides a

scalable foundation that can adapt to changing needs and incorporate emerging technologies.
The success of this implementation serves as a model for other educational institutions in the
region considering similar smart campus initiatives.

The data-driven insights generated by the system continue to inform strategic decisions

about campus development and resource allocation, ensuring that Fergana State Technical
University remains at the forefront of educational technology innovation. Through this smart
parking system, the university has created a more efficient, sustainable, and user-friendly
campus environment that supports its mission of providing excellence in technical education.

References:

Используемая литература:

Foydalanilgan adabiyotlar:

1.

Mirzaboevich, M. E. (2021). Using Maple Programs in Higher Mathematics. Triangle

Problem Constructed on Vectors in Space. Central asian journal of mathematical theory and
computer sciences, 2(11), 44-50.
2.

Ergashev, M. I., Nosirjonov, S. I., & Mamasoliyev, J. J. (2022). EFFECTIVE USE OF EXISTING

TIRE PRESSURE MONITORING AND CONTROL SYSTEMS AT ROAD TRANSPORT ENTERPRISES
IN UZBEKISTAN. Innovative Technologica: Methodical Research Journal, 3(03), 39-49.
3.

Mirzaboyevich, M. E. (2022). Using the Maple System to Evaluate the Efficiency of a

Regression Model. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER
SCIENCES, 3(5), 7-13.
4.

Ergashev, M. I. (2022). GAZBALLONLI TA’MINLASH TIZIMIGA EGA DVIGATEL BILAN

JIHOZLANGAN AVTOMOBILLARNI EKSPLUATATSIYA JARAYONI TAHLILI. Academic research
in educational sciences, 3(6), 503-508.
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Mirzakarimov, E. M. (2022). REGRESSIYON MODELNI SAMARADORLIGINI BAHOLASHDA

MAPLE TIZIMIDAN FOYDALANISH. Eurasian Journal of Mathematical Theory and Computer
Sciences, 2(3), 27-33.
6.

Mirzaboyevich, M. E. (2022). Using the Maple System in Selecting an Efficient Model for

the Analysis of Experimental Results. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY
AND COMPUTER SCIENCES, 3(5), 14-27.
7.

Ergashev, M. I., & Uraimjanov, S. Z. (2022). MANAGEMENT OF THE TIRE WEAR PROCESS

OF THE" BLACK BOX" TYPE AT ROAD TRANSPORT ENTERPRISES. Academic research in
educational sciences, 3(5), 285-289.


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ILMIY-AMALIY KONFERENSIYASI

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8.

Ergashev, M. I., Abdullaaxatov, E. A., & Xametov, Z. M. (2022). APPLICATION OF GAS

CYLINDER EQUIPMENT TO THE SYSTEM OF INTERNAL COMBUSTION ENGINES IN
UZBEKISTAN. Academic research in educational sciences, 3(5), 1112-1119.
9.

Ergashev, M. I. (2022). ANALYSIS OF METHODOLOGICAL APPROACHES FOR TECHNICAL

EVALUATION OF THE LEVEL AND QUALITY OF GARAGE EQUIPMENT.

Innovative Technologica:

Methodical Research Journal

,

3

(10), 120-126.

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Smart Parking Systems: Comprehensive Review Based on Various Aspects - ScienceDirect

https://www.sciencedirect.com/science/article/pii/S2405844021011531

Comprehensive analysis of smart parking system development and implementation challenges

11.

A

Review

of

Smart

Parking

Systems

-

ScienceDirect

https://www.sciencedirect.com/science/article/pii/S235214652301219X

Analysis of conventional parking inefficiencies and smart system solutions

12.

System Architecture based on IoT for Smart Campus Parking Lots - IEEE Xplore

https://ieeexplore.ieee.org/document/8769477

IoT system design for university campus electric vehicle management and parking

13.

Park King: An IoT-based Smart Parking System - IEEE Conference Publication

https://ieeexplore.ieee.org/document/9071721/

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Development and prototyping of IoT-based cloud-integrated smart parking for smart

campus

·An Ontology for an IoT-enabled Smart Parking in a University Campus - ResearchGate

https://www.researchgate.net/publication/340811899_An_Ontology_for_an_IoT-
enabled_Smart_Parking_in_a_University_Campus

Ontological framework for IoT-enabled smart parking in university environments

Библиографические ссылки

Mirzaboevich, M. E. (2021). Using Maple Programs in Higher Mathematics. Triangle Problem Constructed on Vectors in Space. Central asian journal of mathematical theory and computer sciences, 2(11), 44-50.

Ergashev, M. I., Nosirjonov, S. I., & Mamasoliyev, J. J. (2022). EFFECTIVE USE OF EXISTING TIRE PRESSURE MONITORING AND CONTROL SYSTEMS AT ROAD TRANSPORT ENTERPRISES IN UZBEKISTAN. Innovative Technologica: Methodical Research Journal, 3(03), 39-49.

Mirzaboyevich, M. E. (2022). Using the Maple System to Evaluate the Efficiency of a Regression Model. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 3(5), 7-13.

Ergashev, M. I. (2022). GAZBALLONLI TA’MINLASH TIZIMIGA EGA DVIGATEL BILAN JIHOZLANGAN AVTOMOBILLARNI EKSPLUATATSIYA JARAYONI TAHLILI. Academic research in educational sciences, 3(6), 503-508.

Mirzakarimov, E. M. (2022). REGRESSIYON MODELNI SAMARADORLIGINI BAHOLASHDA MAPLE TIZIMIDAN FOYDALANISH. Eurasian Journal of Mathematical Theory and Computer Sciences, 2(3), 27-33.

Mirzaboyevich, M. E. (2022). Using the Maple System in Selecting an Efficient Model for the Analysis of Experimental Results. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 3(5), 14-27.

Ergashev, M. I., & Uraimjanov, S. Z. (2022). MANAGEMENT OF THE TIRE WEAR PROCESS OF THE" BLACK BOX" TYPE AT ROAD TRANSPORT ENTERPRISES. Academic research in educational sciences, 3(5), 285-289.

Ergashev, M. I., Abdullaaxatov, E. A., & Xametov, Z. M. (2022). APPLICATION OF GAS CYLINDER EQUIPMENT TO THE SYSTEM OF INTERNAL COMBUSTION ENGINES IN UZBEKISTAN. Academic research in educational sciences, 3(5), 1112-1119.

Ergashev, M. I. (2022). ANALYSIS OF METHODOLOGICAL APPROACHES FOR TECHNICAL EVALUATION OF THE LEVEL AND QUALITY OF GARAGE EQUIPMENT. Innovative Technologica: Methodical Research Journal, 3(10), 120-126.

Smart Parking Systems: Comprehensive Review Based on Various Aspects - ScienceDirect

Comprehensive analysis of smart parking system development and implementation challenges

A Review of Smart Parking Systems - ScienceDirect

Analysis of conventional parking inefficiencies and smart system solutions

System Architecture based on IoT for Smart Campus Parking Lots - IEEE Xplore

IoT system design for university campus electric vehicle management and parking

Park King: An IoT-based Smart Parking System - IEEE Conference Publication

Development and prototyping of IoT-based cloud-integrated smart parking for smart campus ·An Ontology for an IoT-enabled Smart Parking in a University Campus - ResearchGate

Ontological framework for IoT-enabled smart parking in university environments