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A Metamodeling Technique for Exploring the Correlation between Mobility and Environmental Factors at Signalized Intersections

机译:探索信号交叉口交通与环境因素相关性的元建模技术

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摘要

Given the limitations of built-in emission estimation modules within current traffic simulations and signal optimization tools, this study aims to explore how the environmental impacts of transport are related to mobility measurements at signalized intersections based on high-fidelity simulation. The metamodeling-based method, involving experimental design, high-fidelity simulations, and multivariate 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. The multivariate multiple regression analysis provides large gains in expected prediction accuracy by taking the correlations between the response variables into account. 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.
机译:考虑到当前交通运输模拟和信号优化工具中内置的排放估算模块的局限性,本研究旨在探索交通的环境影响如何与基于高保真模拟的信号交叉口的流动性测量相关。本文开发了基于元模型的方法,涉及实验设计,高保真模拟和多元回归分析。来自微观交通模型和新兴排放估算器的高保真模拟提供了灵活利用各种路口类型,车辆类型以及其他特征(如驾驶员行为,燃料类型和气象因素)的灵活性。多变量多元回归分析通过考虑响应变量之间的相关性,可以大大提高预期的预测准确性。案例研究证明了所提出方法的可操作性,并为将模拟优化广泛应用于可持续交通运营和管理奠定了基础。

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  • 会议地点 Shanghai(CN)
  • 作者

    Rui Guo; Yu Zhang;

  • 作者单位

    Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa, FL 33620;

    Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa, FL 33620;

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