Calibration of Traffic Micro-simulation Models for Microscopic Vehicle Emission Modeling
项目名称: Calibration of Traffic Micro-simulation Models for Microscopic Vehicle Emission Modeling
摘要: When conducting vehicle emission analyses, one generally rely on traffic models to generate traffic performance or vehicle activity data, which are then used as an input for emission models. For project-level conformity and hot spot analyses, the use of traffic microsimulation modeling tools is desirable as they are able to model detailed movements of individual vehicles in the traffic stream at high time resolution, allowing the impact of vehicle acceleration on emissions to be captured. To properly use traffic microsimulation models for such purposes, one must ensure that the simulation network is well calibrated so that it replicates the real-world traffic condition. As the commonly used traffic microsimulation calibration criteria are based mostly on macroscopic traffic parameters, it is proposed herein to: 1) examine if these criteria are sufficient to make the simulated vehicle trajectories represent those observed in the real-world at the micro scale, and 2) develop supplemental calibration criteria and procedures specifically for the purpose of modeling emissions at the micro scale. The results of this research are expected to improve the current practice of microscopic vehicle emission modeling.
状态: Proposed
资金: 79861.00
资助组织: Department of Transportation
执行机构: University of California, Riverside
开始时间: 20120801
主题领域: Highways;Operations and Traffic Management;I15: Environment
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