Characterizing the relationship between mobility and environmental factors is critical for developing a sustainable traffic signal control system. In this study, the authors investigate the correlations of environmental externalities and mobility measurements at signalized intersections. The metamodeling-based method, involving experimental design, high-fidelity simulations, and regression analysis, is developed in this paper. The high-fidelity simulations, from microscopic traffic modeling and emerging emission estimator, provide the flexibility of utilizing various intersection types, vehicle types, and other characteristics such as drivers’ behaviors, fuel types and meteorological factors. Canonical correlation analysis (CCA) is applied together with econometrics tools to determine the relationship between environmental and mobility measurements. The case studies demonstrate the operability of the proposed methodology and also set up the base for extensive application of simulation optimization to sustainable traffic operations and management.
↧
