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Black carbon (BC) is an important pollutant aerosol emitted by numerous human activities, including gas flaring. Improper combustion in flaring activities can release large amounts of BC, which is harmful to human health and has a strong…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Tuel Alexandre , Kerdreux Thomas , Thiry Louis

Urban congestions cause inefficient movement of vehicles and exacerbate greenhouse gas emissions and urban air pollution. Macroscopic emission fundamental diagram (eMFD)captures an orderly relationship among emission and aggregated traffic…

Air pollution is an emerging problem that needs to be solved especially in developed and developing countries. In Vietnam, air pollution is also a concerning issue in big cities such as Hanoi and Ho Chi Minh cities where air pollution comes…

Physics and Society · Physics 2022-12-06 Chuong D. Le , Hoang V. Pham , Duy A. Pham , An D. Le , Hien B. Vo

Accounting for over 20% of the total carbon emissions, the precise estimation of on-road transportation carbon emissions is crucial for carbon emission monitoring and efficient mitigation policy formulation. However, existing estimation…

Machine Learning · Computer Science 2024-02-09 Jinwei Zeng , Yu Liu , Jingtao Ding , Jian Yuan , Yong Li

A significant cause of air pollution in urban areas worldwide is the high volume of road traffic. Long-term exposure to severe pollution can cause serious health issues. One approach towards tackling this problem is to design a…

Artificial Intelligence · Computer Science 2023-03-01 Shreevignesh Suriyanarayanan , Praveen Paruchuri , Girish Varma

Traffic emissions are known to contribute significantly to air pollution around the world, especially in heavily urbanized cities such as Singapore. It has been previously shown that the particulate pollution along major roadways exhibit…

Computers and Society · Computer Science 2022-11-28 Kong Yuan Ho , Chin Seng Lim , Matthena A. Kattar , Bharathi Boppana , Liya Yu , Chin Chun Ooi

Climate change mitigation in urban mobility requires policies reconfiguring urban form to increase accessibility and facilitate low-carbon modes of transport. However, current policy research has insufficiently assessed urban form effects…

Machine learning (ML) requires using energy to carry out computations during the model training process. The generation of this energy comes with an environmental cost in terms of greenhouse gas emissions, depending on quantity used and the…

Machine Learning · Computer Science 2023-02-17 Alexandra Sasha Luccioni , Alex Hernandez-Garcia

We study the emergence of congestion patterns in urban networks by modeling vehicular interaction by means of a simple traffic rule and by using a set of measures inspired by the standard Betweenness Centrality (BC). We consider a…

Physics and Society · Physics 2022-07-25 Marco Cogoni , Giovanni Busonera , Francesco Versaci

Urban traffic congestion significantly impacts regional air quality and contributes substantially to pollutant emissions. Suburban freeway corridors are a major source of traffic-related emissions, particularly nitrogen oxides (NOx) and…

Optimization and Control · Mathematics 2025-06-17 Alexander Hammerl , Ravi Seshadri , Thomas Kjær Rasmussen , Otto Anker Nielsen

The continuous rise in CO2 emission into the environment is one of the most crucial issues facing the whole world. Many countries are making crucial decisions to control their carbon footprints to escape some of their catastrophic outcomes.…

Machine Learning · Computer Science 2022-12-01 Aman Desai , Shyamal Gandhi , Sachin Gupta , Manan Shah , Samir Patel

Air pollution in cities, especially NO\textsubscript{2}, is linked to numerous health problems, ranging from mortality to mental health challenges and attention deficits in children. While cities globally have initiated policies to curtail…

Machine Learning · Computer Science 2025-01-03 Mohamed R. Ibrahim , Terry Lyons

Decarbonizing road transport requires consistent and transparent methods for comparing CO2 emissions across vehicle technologies. This paper proposes a machine learning-based framework for like-for-like operational assessment of internal…

The most recent concern of all people on Earth is the increase in the concentration of greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over the last century and if the trend continues it can cause many…

Machine Learning · Computer Science 2022-11-16 Samveg Shah , Shubham Thakar , Kashish Jain , Bhavya Shah , Sudhir Dhage

Road maintenance during the Winter season is a safety critical and resource demanding operation. One of its key activities is determining road surface condition (RSC) in order to prioritize roads and allocate cleaning efforts such as…

Computer Vision and Pattern Recognition · Computer Science 2020-09-23 Juan Carrillo , Mark Crowley , Guangyuan Pan , Liping Fu

The level of air quality in urban centres is affected by emission of several pollutants, mainly coming from the vehicles flowing in their road networks. This is a well known phenomenon that influences the quality of life of people. Despite…

Fluid Dynamics · Physics 2011-02-02 P. Ferrante , D. Lo Bosco , S. Nicolosi , G. Scaccianoce , M. Traverso , G. Rizzo

The World Health Organization suggests that road traffic crashes cost approximately 518 billion dollars globally each year, which accounts for 3% of the gross domestic product for most countries. Most fatal road accidents in urban areas…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Marcos Mendes , Gonçalo Perna , Pedro Rito , Duarte Raposo , Susana Sargento

Global ambient air pollution, a transboundary challenge, is typically addressed through interventions relying on data from spatially sparse and heterogeneously placed monitoring stations. These stations often encounter temporal data gaps…

Machine Learning · Computer Science 2024-02-19 Liam J Berrisford , Hugo Barbosa , Ronaldo Menezes

Rapid urbanization has intensified traffic congestion, environmental strain, and inefficiencies in transportation systems, creating an urgent need for intelligent and adaptive traffic management solutions. Conventional systems relying on…

Machine Learning · Computer Science 2025-10-14 Shaharyar Alam Ansari , Mohammad Luqman , Aasim Zafar , Savir Ali

Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially in critical moments such as driving. This requires real-time…

Human-Computer Interaction · Computer Science 2023-05-02 Kevin Koch , Martin Maritsch , Eva van Weenen , Stefan Feuerriegel , Matthias Pfäffli , Elgar Fleisch , Wolfgang Weinmann , Felix Wortmann
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