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首页> 外文期刊>Transportation Research. Part A, Policy and Practice >Comparison and calibration of FRESIM and INTEGRATION steady-state car-following behavior
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Comparison and calibration of FRESIM and INTEGRATION steady-state car-following behavior

机译:FRESIM和INTEGRATION稳态汽车跟随行为的比较和校准

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The paper compares the FREeway SIMulation (FRESIM, the freeway model within the CORSIM software) and INTEGRATION steady-state car-following behavior. The study concludes that the additional degree-of-freedom that is incorporated in the INTEGRATION steady-state car-following model overcomes the shortcomings of the current state-of-practice car-following and traffic stream models by capturing the wide spectrum of macroscopic and microscopic steady-state behavior over various roadway facilities. In addition, the paper develops a procedure for calibrating the FRESIM Driver Sensitivity Factor (DSF) using macroscopic loop detector data. This calibration procedure does not overcome the inherent shortcomings of the FRESIM steady-state car-following model; however, it does provide an opportunity to calibrate FRESIM car-following behavior to existing roadway conditions more efficiently. Finally, the calibration procedure is implemented within FRESIM using network-wide and link-specific DSFs. The results demonstrate the validity of the proposed calibration procedure and inconsistencies between FRESIM network-wide and link-specific modeling of car-following behavior. Link-specific Driver Sensitivity Correction Factors are developed in order to ensure consistency between network-wide and link-specific car-following behavior.
机译:本文比较了FREeway仿真(FRESIM,CORSIM软件中的高速公路模型)和INTEGRATION稳态汽车跟随行为。该研究得出的结论是,集成到稳态稳态汽车跟踪模型中的附加自由度通过捕获广泛的宏观和宏观模型,克服了当前实践状态的汽车跟踪和交通流模型的缺点。各种道路设施的微观稳态行为。此外,本文还开发了使用宏观环路检测器数据校准FRESIM驱动器灵敏度因子(DSF)的程序。该校准程序无法克服FRESIM稳态汽车跟踪模型的固有缺点;但是,它确实提供了一个机会,可以更有效地将FRESIM随车行为校准为现有的道路状况。最后,使用整个网络和特定于链路的DSF在FRESIM中实施校准过程。结果证明了所提出的校准程序的有效性以及FRESIM网络范围内和跟车行为的链接特定模型之间的不一致。开发了特定于链路的驾驶员灵敏度校正因子,以确保网络范围和特定于链路的汽车跟随行为之间的一致性。

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