Work

Forecasting Pedestrian Traffic in Melbourne Central Business District: Integrating Sensor Data with COVID-19 Impacts to Inform City Planning

Year: 2024

Type: conference-paper

Source: International Conference on Control, Automation and Information Sciences (ICCAIS)

DOI: 10.1109/iccais63750.2024.10814385

Authors: Nhat Anh Dang, Tung Vu, Stanley Luong, Tan Ngoc Dinh, Mehdi Seyedmahmoudian, Jaideep Chandran, Alex Stojcevski

Institutions: Swinburne University of Technology, RMIT Vietnam, Curtin Singapore

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Good health and well-being

Open Access status: closed

OpenAlex ID: W4405936429

FWCI:

Cites: 15

Cited by:

Related to: 10