Work

Research on Using Deep Learning for Transport Demand Prediction

Year: 2024

Type: conference-paper

Source: Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)

DOI: 10.1109/tirved63561.2024.10769599

Authors: A. V. Ostroukh, N. G. Kuftinova, A. M. Borzenkov, A. A. Podberezkin, I. A. Ostroukh

Institutions: Moscow Automobile and Road Construction State Technical University, Moscow State University of Geodesy and Cartography

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4404955650

FWCI: 8.506

Cites: 14

Cited by: 8

Related to: 10