Vehicle emission calculation is critical for evaluating motor vehicle related environmental
protection policies. Currently, many studies calculate vehicle emissions from integrating
the microscopic traffic simulation model and the vehicle emission model. However, conventionally vehicle emission models are presented as a stand-alone software, requiring
a laborious processing of the simulated second-by-second vehicle activity data. This is
inefficient, in particular, when multiple runs of vehicle emission calculations are needed.
Therefore, an integrated vehicle emission computation system is proposed around a microscopic traffic simulation model. In doing so, the relational database technique is used
to store the simulated traffic activity data, and these data are used in emission computation
through a built-in emission computation module developed based on the IVE model. In
order to ensure the validity of the simulated vehicle activity data, the simulation model
is calibrated using the genetic algorithm. The proposed system was implemented for a
central urban region of Nanjing city. Hourly vehicle emissions of three types of vehicles
were computed using the proposed system for the afternoon peak period, and the results
were compared with those computed directly from the IVE software with a trivial difference in the results from the proposed system and the IVE software, indicating the validity
of the proposed system. In addition, it was found for the study region that passenger cars
are critical for controlling CO, buses are critical for controlling CO and VOC, and trucks
are critical for controlling NOx and CO2. Future work is to test the proposed system in
more traffic management and control strategies, and more vehicle emission models are to
be incorporated in the system.
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