Yo‘lovchilar oqimini bashorat qilish modelini ishlab chiqish

  • Botir Abdullayev Toshkent davlat transport universiteti
Ключевые слова: Yo‘lovchilar oqimi, yo‘lovchilar hajmi, transport xizmati, yo‘lovchi transporti, yo‘nalishli avtobus, bashorat

Аннотация

Shaharlarda yo‘lovchilarga o‘z vaqtida transport xizmati ko‘rsatish juda murakkab masala hisoblanadi. Chunki, yo‘lovchilar oqimi hajmining o‘zgarishi juda ko‘p omillarga bog‘liq bo‘ladi.

Mavjud yo‘lovchilarga tashish bo‘yicha transport xizmati ko‘rsatish uchun ular miqdorini oldindan bilish talab etiladi, shundan so‘ng transport vositalari turi va sonini mavjud miqdorga muvofiqlashtirishni rejalashtirish mumkin. Buning uchun esa, yo‘lovchilar hajmini kelajakda qanday bo‘lishini aniqlash bo‘yicha bashorat modelini ishlab chiqish va bashorat qilish zarur bo‘ladi. Mazkur maqola Toshkent shahridagi yo‘nalishli avtobuslarda tashilishi mumkin bo‘lgan yo‘lovchilar hajmini bashorat qilish modelini ishlab chiqish va uning asosida keyingi yillarda kutiladigan yo‘lovchilar hajmini bashorat qilishga bag‘ishlanadi. Yo‘lovchi transportida yo‘lovchilar oqimini bashorat qilish bo‘yicha olib borilgan tadqiqotlar o‘rganlib, Toshkent shahridagi yo‘nalishli avtobuslar tashilishi mumkin bo‘lgan yo‘lovchilar hajmini bashorat qilish modeli ishlab chiqilgan va uning asosida keyingi 10 yillikda kutiladigan yo‘lovchilar hajmi aniqlangan.

Литература

[1] Nandini Nagaraj, Harinahalli Lokesh Gururaj, Beekanahalli Harish Swathi, Yu-Chen Hu, Passenger flow prediction in bus transportation system using deep learning. Multimedia Tools and Applications (2022) 81, Vol. 81, Pp. 12519–12542.
[2] Yinna Ye, Li Chen, Feng Xue, Passenger Flow Prediction in Bus Transportation System using ARIMA Models with Big Data. International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC. (2019), Pp. 235-247.
[3] Yulong Pei, Songmin Ran, Wanjiao Wang, Chuntong Dong, Bus-Passenger-Flow Prediction Model Based on WPD, Attention Mechanism, and Bi-LSTM. Sustainability (2023), Vol. 15, N.14889, Pp.1-20.
[4] Nandini Nagaraj, Harinahalli Lokesh Gururaj, Beekanahalli Harish Swathi, Yu-Chen Hu, Passenger flow prediction in bus transportation system using deep learning. Multimed Tools Appl, (2022), 81 (9), Pp. 12519-12542.
[5] Xiaoping Fang, Mei Lin, Weiya Chen, Xin Pan, Forecasting short-term passenger flow on a bus route: A splitting–integrating method based on passenger travel behavior. Transport, (2025), Vol. 40, Issue 1, Pp 12–23.
[6] Wanjun Lv, Yongbo Lv, Qi Ouyang, Yuan Ren. A Bus Passenger Flow Prediction Model Fused with Point-of-Interest Data Based on Extreme Gradient Boosting. Applied sciences, MDPI, (2022) Vol. 12(3):940.
[7] Dung David Chuwang, Weiya Chen, Ming Zhong”, Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate timeseries. Applied Soft Computing 147 (2023), Pp. 16.
[8] Jinlei Zhang, Feng Chen*, Zhiyong Cui, Yinan Guo, and Yadi Zhu, Deep learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit. Pp. 11.
[9] Zhanhong Cheng, Martin Trépanier, Lijun Sun, Incorporating travel behavior regularity into passenger flow forecasting. Transportation Research Part C: Emerging Technologies, Vol. 128, (2021), Pp.35-46.
[10] Qiuchi Xue, Wei Zhang, Meiling Ding, Xin Yang, Jianjun Wu, Ziyou Gao, Passenger flow forecasting approaches for urban rail transit: a survey. International Journal of General Systems. Vol. 52, (2023), Issue 8. Pp. 29-41.
[11] Peng Li, Weitiao Wu, Xiangjing Pei, A separate modelling approach for short-term bus passenger flow prediction based on behavioural patterns: A hybrid decision tree method. Physica A: Statistical Mechanics and its Applications, Vol. 616, 15 (2023), Pp.146-157.
[12] Jun Yang, Xueru Dong, Huifan Yang, Xiao Han,Yan Wang, Jiayue Chen, Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network. Journal: Applied Sciences. (2023), Vol. 13, N.10266, Pp. 1-16.
[13] Марупов М.М. Прогнозирование развития производства. Учебное пособие. – Ташкент 2007.
[14] Просветов Г.И. Прогнозирование и планирование: Задачи и решения. СПб: РДЛ. 2005
[15] Черныш Е.А. и др. Прогнозирование и планирование. Учебное пособие.– М.: ПРИОР, 2000.
[16] Marupov M.M., Yusufxonov Z.Y., Normirzayev A.R. Avtomobil transportining asosiy ko‘rsatgichlarini modellashtirish masalalari. Namangan muhandislik texnologiya instituti Ilmiy-texnika jurnali. Том 7, Maxsus son 2, 2022, 63-68 betlar.
[17] Botir Ergashev, Akmal Kamalov, Gaffor Samatov; Integrated approach for freight transportation in Uzbekistan. AIP Conf. Proc. (2022); 2432 (1): 030015. https://doi.org/10.1063/5.0089729
Опубликован
2025-06-30
Как цитировать
Abdullayev, B. (2025). Yo‘lovchilar oqimini bashorat qilish modelini ishlab chiqish. Вестник транспорта - Transport Xabarnomasi, 2(2), 46-48. https://doi.org/10.56143/2181-2438-2025-2-46-48
Раздел
Организация дорожного движения-Yo‘l harakatini tashkil etish