01515157

Component

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.

This paper was sponsored by TRB committee AHB25 Traffic Signal Systems. Alternate title: Relationship Between Mobility and Environmental Externalities at Signalized Intersections

01503729

14-3347

English

18p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Correlation analysis; Econometrics; Environmental impacts; Exhaust gases; Externalities; Microscopic traffic flow; Mobility; Signalized intersections; Sustainable development; Traffic signal control systems

Environment; Highways; Operations and Traffic Management; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning; I73: Traffic Control

Transportation Research Board Annual Meeting 2014 Paper #14-3347

TRIS, TRB, ATRI

Jan 27 2014 3:09PM