论文标题
使用大型GP轨迹集的路线选择集合的实验
Experiments on route choice set generation using a large GPS trajectory set
论文作者
论文摘要
文献中开发的几种路线选择模型是基于相对较少的观测值。在最近的调查中广泛使用跟踪设备，有可能就旅行者的选择行为获得见解。在本文中，使用大型GPS轨迹数据集评估了不同的路径生成算法。该数据集包含Tel-Aviv Metropolitan地区的6,000个观察结果。初始分析是通过基于最短路径生成单个路由来执行的。可以使用单个路径涵盖6,000个观察结果中的几乎60％（假设阈值为80％重叠）。该结果显着与以前的文献发现对比。链接惩罚，链接消除，模拟和通过节点方法应用于生成路由集，并比较算法的一致性。修改后的链接惩罚方法，说明使用较高的分层道路的偏爱，提供了一个覆盖率97％的路线（80％重叠阈值）。 Via节点方法产生的路由设置具有令人满意的覆盖范围，并生成更异质的路由（以链接和路由比的数量）。
Several route choice models developed in the literature were based on a relatively small number of observations. With the extensive use of tracking devices in recent surveys, there is a possibility to obtain insights with respect to the traveler's choice behavior. In this paper, different path generation algorithms are evaluated using a large GPS trajectory dataset. The dataset contains 6,000 observations from Tel-Aviv metropolitan area. An initial analysis is performed by generating a single route based on the shortest path. Almost 60% percent of the 6,000 observations can be covered (assuming a threshold of 80% overlap) using a single path. This result significantly contrasts previous literature findings. Link penalty, link elimination, simulation and via-node methods are applied to generate route sets, and the consistency of the algorithms are compared. A modified link penalty method, which accounts for preference of using higher hierarchical roads, provides a route set with 97% coverage (80% overlap threshold). The via-node method produces route set with satisfying coverage, and generates routes that are more heterogeneous (in terms number of links and routes ratio).
