Special Session

Advances toward air pollution monitoring and mitigation solutions for smart cities

 

Smart cities must be resilient, sustainable, and environment-friendly. Reaching net-zero emissions requires extensive collective efforts and investments across many sectors.

The increase in urbanization and related transport emissions in most cities in the world is leading to an increase in exposure to air pollution. This session will focus on the advances that contribute to promoting the monitoring, evaluation, and mitigation of air pollution in cities. Further, this special session aims to stimulate the development of new tools using advanced technologies in the broadest sense in the era of Big Data, machine learning, and sensors technologies. We encourage both theoretical as well as application-oriented papers dealing with these emerging issues. Papers can cover a wide spectrum of methodological and domain specific topics related to pollution and smart city.

Novelty and motivation:  This session is special because it focuses on different aspects of air pollution to reach a sustainable and smart city. These aspects cover 

  • New ways to quantify air pollution using smart devices;
  • Machine learning including new advances in deep learning to measure air pollution;
  • Spatio-temporal modeling of air pollution;
  • Findings on the relation between air pollution and well-being, health impacts…;
  • Air quality prediction/forecasting based on ground-based and satellite remote sensing;
  • Hotspots detection and localization in industrial and urban areas;
  • Modeling of air pollution based on land-use and urban features;
  • Modeling complex interaction between air pollution and climate, weather, or meteorological conditions;
  • Operational research for sustainable urban mobility to reduce traffic flow and air pollution in smart cities;
  • Smart transport including electric and hybrid vehicles, smart public transport, smart logistics and freight, mobility-as-a-Service and their effect on air pollution;
  • Transport and road planning transformations processes that operate on multiple scales and determine air quality and its impacts within the urban environment;
  • Transport measure/policy (e.g., road pricing, electric vehicles, car sharing, traffic lights management…);
  • Modeling of dynamic and static contributors to air pollution within cities.

 

 

Chairs Information

Name 

Email

Affiliation

Olivier,Fahed ABDALLAH

olivier.abdallah@liser.lu

LISER-Luxembourg

Hichem OMRANI

hichem.omrani@liser.lu

LISER-Luxembourg