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A Development of In-flow Control Algorithm for Urban Expressway-New Approach Considering Effect of Providing Information and Drivers Route Choice Behavior

城市快速路流入控制算法的开发——考虑信息提供效应和驾驶员选路行为的新方法

基本信息

批准号：
06555155
负责人：
IIDA Yasunori
金额：
$ 1.73万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

项目摘要

LP in-flow control is one of the indispensable method for efficient management of urban expressway. However, the existing LP control has some defects such that available route is limited to one and this method can not be applied to large network. In addition, in case that there are plural routes in one OD pair, link flow changes according to the route choice of drivers. Regarding to these problems, this research construct the on-ramp control model that can forecast the effects of travel time information by introducing drivers route choice algorithm into the model.In the first year, through the existing research concerning with information providing method and highway control method, we arranged the methodological problems of LP control. By using the bi-level optimization method, we formulated the optimum on-ramp flow control problem under user equilibrium situation, then maximized the total amount of in-flow traffic under given choice probability of desinations. We also checked the existence and uniqueness of the solution. In order to solve the problem, we applied complex method, which is one of the techniques that can be applied in case that the constraint can not be described explicitly. In combining the upper and lover problem, we applied LeBlanc & Boyce method. We ensured the validity of the algorithm through the calculation on the hypothetical network.In the next year, we constructed the route choice algorithm which describes the drivers response to information provied, then introduced this algorithm to bi-level optimization problem. Also in order to relax the computational constraint so as to be applied to large network, we clarified the performance of each solving method of optimization. Finally we applied the computation to as large network as the network of the future Hanshin Expressway, and the validity of the model proposed was tested.

LP入流控制是城市快速路高效管理不可缺少的手段之一。然而，现有的LP控制存在一些缺陷，如可用路径仅限于一个，这种方法不能应用于大型网络。此外，在一个OD对中存在多条路线的情况下，链路流根据驾驶员的路线选择而改变。针对这些问题，本研究通过引入驾驶员路径选择算法，构建了能够预测行程时间信息影响的入口匝道控制模型。第一年，通过对现有的信息提供方法和高速公路控制方法的研究，梳理了线性规划控制的方法学问题。利用双层优化方法，建立了用户平衡条件下的最优入口匝道流量控制问题，并在给定目的地选择概率的条件下，使入口匝道的总流量最大化。我们还检查了解的存在性和唯一性。为了解决这个问题，我们采用了复合形方法，这是一种可以应用的技术，在情况下，约束不能显式描述。在结合上、下问题时，采用LeBlanc &博伊斯方法。通过在假设网络上的计算，验证了算法的有效性，并在第二年构造了描述驾驶员对信息响应的路径选择算法，将该算法引入到双层优化问题中。同时，为了放宽计算限制，使其适用于大型网络，我们阐明了各种优化求解方法的性能。最后，我们将计算应用到未来坂神高速公路网络这样的大型网络中，并验证了所提出模型的有效性。