Information-based network control strategies consistent with estimated driver behavior
Information-based network control strategies consistent with estimated driver behavior
复制标题
DOI：
10.1016/j.trb.2008.06.007
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
A. Paz;S. Peeta
中科院分区：
文献类型：
--
作者：
A. Paz;S. Peeta
本研究提出了一种基于模糊控制的方法来确定基于信息的网络控制策略，该策略与控制器的目标及其对驾驶员响应行为的估计一致。它是更广泛问题的核心，其目标是通过基于实时信息的网络控制策略来提高车辆交通系统的性能。控制器通过解决一个定点问题来寻求行为一致性，该问题估计驾驶员在确定控制器提出的信息策略时可能的反应。进行实验来评估所提出的方法的有效性。结果表明使用行为一致的方法来确定基于信息的网络控制策略的重要性。也就是说，驾驶员响应行为对信息提供的影响可能需要比传统动态交通分配模型下提供的策略更有意义的策略来可靠地估计或控制系统性能。行为不一致的信息策略可能会降低系统性能。
This study proposes a fuzzy control based methodology to determine information-based network control strategies that are consistent with the controller’s objectives and its estimation of driver response behavior. It is the core of the broader problem where the objective is to enhance the performance of a vehicular traffic system through real-time information-based network control strategies. The controller seeks behavior consistency by solving a fixed-point problem that estimates drivers’ likely reactions to the controller-proposed information strategies while determining them. Experiments are performed to evaluate the effectiveness of the proposed methodology. The results suggest the importance of using a behavior-consistent approach to determine the information-based network control strategies. That is, the effects of driver response behavior to information provision may require more meaningful strategies than those provided under the traditional dynamic traffic assignment models to reliably estimate or control system performance. Information strategies that are not behavior-consistent can potentially deteriorate system performance.