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An empirical study of simulation-based dynamic traffic assignment procedures

机译：基于模拟的动态交通分配过程的实证研究

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Under Intelligent Transportation Systems (ITS), real-time operations of traffic management measures depend on long-term planning results, such as the origin-destination (OD) trip distribution; however, results from current planning procedures are unable to provide fundamental data for dynamic analysis. In order to capture dynamic traffic characteristics, transportation planning models should play an important role to integrate basic data with real-time traffic management and control. In this paper, a heuristic algorithm is proposed to establish the linkage between daily OD trips and dynamic traffic assignment (DTA) procedures; thus results from transportation planning projects, in terms of daily OD trips, can be extended to estimate time-dependent OD trips. Field data from Taiwan are collected and applied in the calibration and validation processes. Dynamic Network Assignment-Simulation Model for Advanced Road Telematics (DYNASMART-P), a simulation-based DTA model, is applied to generate time-dependent flows. The results from the validation process show high agreement between actual flows from vehicle detectors (VDs) and simulated flows from DYNAMSART-P.
机译：在智能运输系统（ITS）下，交通管理措施的实时操作取决于长期计划的结果，例如始发地（OD）出行分布；但是，当前计划程序的结果无法为动态分析提供基础数据。为了捕获动态交通特征，交通规划模型应发挥重要作用，将基本数据与实时交通管理和控制相集成。本文提出了一种启发式算法来建立每日OD行程与动态交通分配（DTA）程序之间的联系。因此，可以将运输计划项目的每日OD行程结果扩展为估计随时间变化的OD行程。收集台湾的现场数据并将其应用于校准和验证过程。基于仿真的DTA模型（高级基于DTA的动态网络分配仿真模型，DYNASMART-P）用于生成与时间相关的流量。验证过程的结果表明，车辆检测器（VD）的实际流量与DYNAMSART-P的模拟流量之间存在高度一致性。

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