Indian cities are evolving at an ever-increasing rate in terms of economy and infrastructure facilities. Subsequently, the transportation systems have also become robust in addition to become a basic necessity for urban landscapes. This has unraveled numerous problems relating to regional air quality due to increased traffic volumes, especially where the street is not wide enough and is encompassed by buildings creating a canyon effect. This study has been conducted on an identified street (i.e. Panjrapole) of Ahmedabad to assess the vehicular air pollutants i.e. PM10 and PM2.5 using operational street pollution model (OSPM). To run as well as to validate the model for identified street, primary data like traffic volume count and street configuration along with secondary data which includes meteorologica conditions and background pollution data from reference grade ambient air quality measuring locations deployed by municipal authority, has been analyzed for the month of December. OSPM study indicates excess prediction in concentrations of PM10 and PM2.5 by 2% and 3% respectively as compared to the actual air pollutant concentrations during the study period. However, this can be a useful tool to achieve reliable vehicular air pollutants data using input data only and the same will be useful for decision making authorities including town planners, environmental engineers, urban designers etc. to mitigate and prevent the air pollution.