Method And Advantages Of Integrating Parking Infrastructure With The “Oson Parking Bot System”
Keywords:
Oson Parking Bot, integration, parking infrastructure, Arduino, API, Park & Ride, server, database, user interface, layer componentsAbstract
This article discusses ways to improve the efficiency of parking lot operations and enhance driver convenience in using parking facilities. It examines existing challenges in increasing the effectiveness of parking infrastructure and proposes recommendations and measures to address these issues.
Furthermore, the article explores the capabilities of the “Oson Parking Bot” system to facilitate easy access for drivers, and presents the system architecture and layer components for integrating the bot with parking infrastructure. The integration enables real-time transmission of available parking space data to drivers via IR sensors, and is implemented using a program developed in the Python programming language.
References
[1] G. X. Xalilova, “Haydovchining avtoturargoh tanlash qaroriga ta’sir qiluvchi parametrlar,” Namangan muhandislik – qurilish Instituti Respublika ilmiy-texnik konferensiyasi materiallari, Namangan, 27-mart, 2025, b. 495–499.
[2] G. Xalilova, “Aqlli avtoturargoh tashkil qilishda ‘oson parking bot’ telegram bot orqali samaradorlikni oshirish,” The Scientific Journal of Vehicles and Roads, no. 2, pp. 157–162, 2024.
[3] G. X. Xalilova, R. S. Gafforovich, va A. S. Raxmonov, “Bir nechta avtoturargohlar o'rtasida talabni muvozanatlab, haydovchiga eng qulay avtoturargohni tavsiya etish uslubi,” JizPi Xabarnomasi Ilmiy-Texnik Jurnali, vol. 1, no. 1, pp. 78–83, 2025.
[4] R. Samatov va G. Xalilova, “Searching for a free parking space and their costs,” Universum: технические науки, vol. 5, no. 122, pp. 18–20, 2024.
[5] G. Khalilova, A. Rakhmonov, va R. Samatov, “Method of estimating the demand for parking lots and effective parking management,” Scientific Journal, vol. 1, no. 4, pp. 122–125, Dec. 2024.
[6] R. Mangiaracina, A. Tumino, G. Miragliotta, G. Salvadori, va A. Perego, “Smart parking management in a smart city: Costs and benefits,” in 2017 IEEE Int. Conf. on Service Operations and Logistics, and Informatics (SOLI), pp. 27–32, 2017.
[7] G. X. Q. Xalilova, “Aqlli avtoturargoh” mobil ilovasi va uning samaradorligi,” Academic Research in Educational Sciences, vol. 4, no. 11, pp. 391–398, 2023.
[8] W. Li va H. Y. Dai, “Real-time road congestion detection based on image texture analysis,” Procedia Engineering, vol. 137, pp. 196–201, Jan. 2016.
[9] G. X. Xalilova, “Aqlli avtoturargohlar tashkil qilishda qo‘llaniladigan yondashuvlar, sensorlar va xizmatlar tahlili,” O‘zbekiston Respublikasi Jamoat Xavfsizligi Universiteti Respublika Ilmiy-Amaliy Anjumani Materiallari, pp. 160–165, 26-fevral, 2025.
[10] G. X. Xalilova va R. G. Samatov, “Avtoturargoh islohotlari xorij tajribalarda,” Current Approaches and New Research in Modern Sciences, vol. 2, no. 9, pp. 22–24, 2023.
[11] R. Samatov va G. Xalilova, “Avtoturargoh qidirishdagi muammolar va yechimlar,” Development and Innovations in Science, vol. 2, no. 4, pp. 19–21, 2023.
[12] A. Atta, S. Abbas, M. A. Khan, G. Ahmed, va U. Farooq, “An adaptive approach: smart traffic congestion control system,” J. King Saud Univ. - Comput. Inf. Sci., Oct. 2018.
[13] D. Shoup, Global Parking Survey of 20 Cities, 2011.
[14] S. Kumar, P. Tiwari, va M. Zymbler, “Internet of Things is a revolutionary approach for future technology enhancement: a review,” J. Big Data, vol. 6, p. 111, 2019. doi: 10.1186/s40537-019-0268-2
[15] P. Masek et al., “A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling,” Sensors, vol. 16, no. 1872, 2016. doi: 10.3390/s16111872
