Vehicle emissions are a major source of atmospheric pollution in Hyderabad, primarily due to road transport and traffic congestion. The city employs two distinct policy approaches to tackle traffic-induced emissions: a technical approach focusing on emission control measures and a non-technical approach aimed at improving road infrastructure. However, both approaches overlook commuter behavior, which exacerbates traffic congestion and emissions. This research develops a comprehensive framework to analyze how commuter behavior influences traffic-induced vehicle emissions through an assessment-abatement approach. Empirical evidence indicates that commuter behavior significantly contributes to the rise in private vehicle usage. Game theory perspectives reveal that coordination problems among commuters regarding travel mode choices are a key behavioral implication. This highlights the need for effective transport institutions, such as demand-based traffic measures, to alleviate these coordination issues. A mode choice model, framed as a field experiment, assesses the effectiveness of three travel demand management measures (demand-push, demand-pull, and persuasive) in reducing coordination problems. Additionally, commuter acceptance of traffic measures is evaluated through psychological attitudes theory. The study concludes that combining various demand measures and enhancing commuter awareness can effectively reduce traffic-induc
