2024 Volume 15 Pages 329-345
For identification of polluting vehicles, a pre-screening model is developed by application of ID3 algorithm. A database of around 500,000 vehicles, which were screened over one-year period in Kolkata Metropolitan Area (KMA), India, is used for this purpose. The findings indicate the need for a relook at the existing policy of removing polluting vehicle fleets based on only age, and justify the need for considering other vehicle features such as vehicle class, emission norms, fuel type, etc. for identification of polluting vehicles. The findings also justify the need for priority attention on commercial vehicles which are found to have higher polluting rates compared to other vehicles. Overall, the findings from the present work can be readily used by transportation professionals in KMA. The approach demonstrated is likely to be of interest to professionals in other countries for screening of polluting vehicles within an existing vehicle fleet.
