Traffic congestion is the major problem due to rapid urbanization and exponential growth of private vehicles, a decrease in the use of active transport, which results in problems of transport sustainability and public health issues. Generally, commuters often find it challenging to travel along the congested routes in urban areas due to increased travel time or air pollution. The traffic congestion of those congested routes may be minimized using strategies like congestion pricing, but public acceptability is one of the main hurdles in establishing a congestion pricing scheme. The present study attempted to understand the public acceptability of the congestion pricing system in India. To fulfil the objective of the study, a questionnaire survey was conducted to ascertain the public's perception of the congestion pricing system. In order to achieve this objective, a multinomial logistic regression (MNL) model was devel-oped by considering public opinion on support to implement congestion pricing as a dependent variable, and other variables were considered as independent variables. From the model results, it is understood that the travel frequency (viz., 1-2 and 3-4 times) and number of times struck in congestion of commuters are most likely to remain neutral. The revenue generated by congestion pricing is allocated to road infrastructure, car tax reductions, public transportation, and parking areas, which are more likely to remain in neutral and under review after implementation. The study results are more useful to policy makers in urban areas while they relook at congestion pricing strategies in developing countries.