CORRIGENDUM: Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity (2024 Environ. Res.: Infrastruct. Sustain. 4 035010)

Environmental Research Infrastructure and Sustainability 2026 Open access

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Authors: Xavier Bonnemaizon, Philippe Ciais, Chuanlong Zhou, Simon Ben Arous, Steven J. Davis, Nicolas Megel
DOI: 10.1088/2634-4505/ae34e5
Cited by: 0
References: 1

Abstract

CORRIGENDUM: Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity (2024 Environ. Res.: Infrastruct. Sustain. 4 035010), Bonnemaizon, Xavier, Ciais, Philippe, Zhou, Chuanlong, Arous, Simon Ben, Davis, Steven J, Megel, Nicolas

Fields of Study & Subjects

Traffic Prediction and Management Techniques Air Quality Monitoring and Forecasting Traffic control and management

Publication details

Journal / source
Environmental Research Infrastructure and Sustainability
Volume
6
Issue
1
Pages
019501–019501
Publication date
14 January 2026
Language
EN