Development of Intelligent System for Visual Passenger Flows Simulation of Public Transport in Smart City Based on Neural Network

被引：0

作者：

Matseliukh, Yurii ^{[1
]}

Bublyk, Myroslava ^{[1
]}

Vysotska, Victoria ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, S Bandera St 12, UA-79013 Lvov, Ukraine

来源：

COLINS 2021: COMPUTATIONAL LINGUISTICS AND INTELLIGENT SYSTEMS, VOL I | 2021年 / 2870卷

关键词：

Passenger traffic; software product; public transport; visual simulation; neural network; passenger flow; Smart City; urban passenger transport; !text type='python']python[!/text] programming language; information system; intelligent system; passenger service; passenger transport service; data processing; SERVICE QUALITY; UNCERTAINTY; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Existing intelligent systems in passenger transportation are investigated, where the critical task is to evaluate passenger flows. Possibilities, accessibility, principles and principles of optimising intelligent passenger transportation systems of public transport in Smart City are analysed. It is established that the visualization of passenger flows is one of the critical tasks of optimizing routes and improving the quality of passenger transportation by public transport in Smart City. An intelligent system of visual simulation of passenger traffic is proposed, which, based on the neural network operation, allows optimising passenger transportation by public transport in Smart City.

引用

页数：52

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