This paper describes a new approach to microscopic modelling of vehicular emission from road traffic of mixed flow situation, where traffic stream comprises both motorised and non-motorised vehicles. The proposed model can represent detailed mixed traffic situations, such as speed fluctuation of traffic flow, lack of lane discipline and different vehicle categories. The model library is also facilitated with purposely developed vehicular emission model in order to be able to predict pollution load from road traffic of heterogeneous characteristics. The developed model is applied to experiment the impact of three traffic scenarios in a generalized traffic signal of Dhaka city situation. The emission contributions from different vehicle categories are taken as output from the simulation run and based on these results couple of possible improvement options are worked out. Simulation results for those options show that significant reduction in total emission load of CO and HC can be achieved through adoption of such option. This better understanding and estimation of classified emission contribution would help the transport planners and policy makers in achieving an environmentally sustainable transport system for the rapidly growing developing metropolis like Dhaka. Keywords: Vehicular emission, emission modeling, mixed traffic, microscopic simulation
