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Related papers: A PM2.5 concentration prediction framework with ve…

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Air pollution, especially the particulate matter 2.5 (PM2.5), has become a growing concern in recent years, primarily in urban areas. Being exposed to air pollution is linked to developing numerous health problems, like the aggravation of…

Machine Learning · Computer Science 2025-11-04 Dragoş-Andrei Şerban , Răzvan-Alexandru Smădu , Dumitru-Clementin Cercel

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

Monitoring urban air quality with high spatiotemporal resolution continues to pose significant challenges. We investigate the use of taxi fleets as mobile sensing platforms, analyzing over 100 million PM2.5 readings from more than 3,000…

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

Air pollution is a chronic problem in large cities worldwide and awareness is rising as the long-term health implications become clearer. Vehicular traffic has been identified as a major contributor to poor air quality. In a lot of cities…

Nowadays, in developing countries including Iran, the number of vehicles is increasing due to growing population. This has recently led to waste time getting stuck in traffic, take more time for daily commute, and increase accidents. So it…

Systems and Control · Electrical Eng. & Systems 2023-09-12 Daniel. Firouzimagham , Mohammad. Sabouri , Fatemeh. Adhami

Vehicles' emissions produce a significant share of cities' air pollution, with a substantial impact on the environment and human health. Traditional emission estimation methods use remote sensing stations, missing vehicles' full driving…

Physics and Society · Physics 2022-06-10 Matteo Böhm , Mirco Nanni , Luca Pappalardo

Vietnam requires a sustainable urbanization, for which city sensing is used in planning and de-cision-making. Large cities need portable, scalable, and inexpensive digital technology for this purpose. End-to-end air quality monitoring…

Systems and Control · Electrical Eng. & Systems 2022-12-09 Thinh Gia Tran , Dat Thanh Vo , Long Chau Tran , Hoang Viet Pham , Chuong Dinh Le , An Dinh Le , Duy Anh Pham , Hien Bich Vo

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

The spread of PM2.5 pollutants that endanger health is difficult to predict because it involves many atmospheric variables. These micron particles can spread rapidly from their source to residential areas, increasing the risk of respiratory…

Machine Learning · Computer Science 2021-01-18 Hsing-Chung Chen , Karisma Trinanda Putra , Jerry Chun-WeiLin

Air pollution is one of the most concerns for urban areas. Many countries have constructed monitoring stations to hourly collect pollution values. Recently, there is a research in Daegu city, Korea for real-time air quality monitoring via…

Computers and Society · Computer Science 2025-12-09 Van-Duc Le , Tien-Cuong Bui , Sang Kyun Cha

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati

Low-cost mobile sensors can be used to collect PM$_{2.5}$ concentration data throughout an entire city. However, identifying air pollution hotspots from the data is challenging due to the uneven spatial sampling, temporal variations in the…

Car traffic in urban systems has been studied intensely in past decades but models are either limited to a specific aspect of traffic or applied to a specific region. Despite the importance and urgency of the problem we have a poor…

Physics and Society · Physics 2019-09-11 Vincent Verbavatz , Marc Barthelemy

Urban traffic emissions represent a significant concern due to their detrimental impacts on both public health and the environment. Consequently, decision-makers have flagged their reduction as a crucial goal. In this study, we first…

Machine Learning · Computer Science 2023-09-06 Miguel Folgado , Veronica Sanz , Johannes Hirn , Edgar Lorenzo-Saez , Javier Urchueguia

Traffic congestion is one of the most notable problems arising in worldwide urban areas, importantly compromising human mobility and air quality. Current technologies to sense real-time data about cities, and its open distribution for…

Physics and Society · Physics 2016-12-30 Albert Solé-Ribalta , Sergio Gómez , Alex Arenas

We propose a new approach to estimate the causal effects of maritime traffic when natural or policy experiments are not available. We apply this method to the case of Marseille, a large Mediterranean port city, where air pollution emitted…

Applications · Statistics 2022-08-09 Léo Zabrocki , Marion Leroutier , Marie-Abèle Bind

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

Black carbon (BC) emissions in urban areas are primarily driven by traffic, with hotspots near major roads disproportionately affecting marginalized communities. Because BC monitoring is typically performed using costly and specialized…

Machine Learning · Computer Science 2025-12-09 Camellia Zakaria , Aryan Sadeghi , Weaam Jaafar , Junshi Xu , Alex Mariakakis , Marianne Hatzopoulou

Air pollution is a major driver of climate change. Anthropogenic emissions from the burning of fossil fuels for transportation and power generation emit large amounts of problematic air pollutants, including Greenhouse Gases (GHGs). Despite…

Machine Learning · Computer Science 2021-09-01 Linus Scheibenreif , Michael Mommert , Damian Borth
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