| Title |
Development of Intelligent System for Visual Passenger Flows Simulation of Public Transport in Smart City Based on Neural Network |
| ID_Doc |
37264 |
| Authors |
Matseliukh, Y; Bublyk, M; Vysotska, V |
| Title |
Development of Intelligent System for Visual Passenger Flows Simulation of Public Transport in Smart City Based on Neural Network |
| Year |
2021 |
| Published |
|
| DOI |
|
| Abstract |
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. |
| Author Keywords |
Passenger traffic; software product; public transport; visual simulation; neural network; passenger flow; Smart City; urban passenger transport; python programming language; information system; intelligent system; passenger service; passenger transport service; data processing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000682922000082 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Linguistics; Language & Linguistics |
| Research Area |
Computer Science; Linguistics |
| PDF |
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