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Measuring the effectiveness of Advanced Traveler Information Systems (ATIS).

机译：衡量高级旅行者信息系统（ATIS）的有效性。

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摘要

The objective of this study was to develop valid methodologies for addressing several limitations of the current Advanced Traveler Information Systems (ATIS) evaluation tools. This study was focused mainly on three enhancements. First, the queue propagation algorithm of the selected tool (DYNASMART-P) was modified to more realistically model traffic congestion. The author proposed the addition of transfer flow capacity and backward gated flow constraints for more accurately calculating transfer flow rate. Second, the study modeled the natural diversion behaviors of drivers who do not receive traveler information. Lastly, statistical models of user responses to traveler information were developed using binary and multinomial logit methods to understand and model the relationship between drivers' socio-economic characteristics and their responses to traveler information. Among these three enhancements, the first two (improved queue propagation and natural diversion behavior algorithms) were implemented in the enhanced model. The user behavior models, however, were not implemented because their predictive power was not acceptable due to limitations in the data set. The enhanced model was applied to two case studies: (1) verifying the capabilities of the model under a recurring bottleneck scenario on I-40 corridor in the Triangle region of North Carolina, and (2) demonstrating the capability of the enhanced model to measure the effectiveness of U-Transportation (similar to the Vehicle Infrastructure Integration [VII] program in the USA) which has been under development in Korea. The first case study results showed that the improved queue propagation algorithm simulated the bottleneck queue much closer to the real data than the original model. The simulation results also indicated that the actual diversion rate under recurring congestion in the study network was very low. The results of the second case study demonstrated that the enhanced model can evaluate the network impact of new advanced technology in flooding situations and can evaluate the effect of market penetration of the communication technology.
机译：这项研究的目的是开发有效的方法，以解决当前高级旅行者信息系统（ATIS）评估工具的一些局限性。这项研究主要集中在三个方面。首先，对所选工具的队列传播算法（DYNASMART-P）进行了修改，以更实际地模拟交通拥堵。作者提出增加传递流量和反向门限流量约束，以更准确地计算传递流量。其次，该研究对未收到旅行者信息的驾驶员的自然转移行为进行了建模。最后，使用二进制和多项式logit方法开发了用户对旅行者信息的响应的统计模型，以了解和建模驾驶员的社会经济特征与其对旅行者信息的响应之间的关系。在这三个增强中，在增强模型中实现了前两个（改进的队列传播和自然转移行为算法）。但是，由于数据集的限制，其行为无法接受，因此未实施用户行为模型。将该增强模型应用于两个案例研究：（1）在北卡罗来纳州三角地区I-40走廊的反复瓶颈情景下验证模型的能力，以及（2）演示增强模型的测量能力韩国正在开发的U-Transportation（类似于美国的车辆基础设施集成[VII]计划）的有效性。第一个案例研究结果表明，改进的队列传播算法模拟的瓶颈队列比原始模型更接近真实数据。仿真结果还表明，在研究网络中经常出现的拥塞情况下，实际的转移率非常低。第二个案例研究的结果表明，增强的模型可以评估新的先进技术在洪灾情况下的网络影响，并且可以评估通信技术的市场渗透效果。

著录项

  • 作者

    Hu, Hyejung.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 251 p.
  • 总页数 251
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;综合运输;
  • 关键词

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