  Air quality and human exposure to mobile source pollutants have become major
concerns in urban transportation. Existing studies mainly focus on mitigating
traffic congestion and reducing carbon footprints, with limited understanding
of traffic-related health impacts from the environmental justice perspective.
To address this gap, we present an innovative integrated simulation platform
that models traffic-related air quality and human exposure at the microscopic
level. The platform consists of five modules: SUMO for traffic modeling, MOVES
for emissions modeling, a 3D grid-based dispersion model, a Matlab-based
concentration visualizer, and a human exposure model. Our case study on
multi-modal mobility on-demand services demonstrates that a distributed pickup
strategy can reduce human cancer risk associated with PM2.5 by 33.4% compared
to centralized pickup. Our platform offers quantitative results of
traffic-related air quality and health impacts, useful for evaluating
environmental issues and improving transportation systems management and
operations strategies.
