基于大GPS轨迹集的路径选择集生成实验
Experiments on route choice set generation using a large GPS trajectory set
摘要：
在文献中开发的几种路线选择模型是基于相对较少的观察。随着跟踪设备在最近的调查中的广泛使用，有可能获得关于旅行者的选择行为的见解。在本文中，不同的路径生成算法进行了评估，使用一个大型的GPS轨迹数据集。该数据集包含来自特拉维夫大都市区的6，000个观测结果。通过基于最短路径生成单一路径来执行初始分析。使用单一路径可以覆盖6，000个观测值中的近60%（假设阈值为80%重叠）。这一结果与以前的文献结果显著不同。分别采用链路惩罚法、链路消除法、仿真法和过节点法生成路径集，并比较了算法的一致性。一个修改的链接惩罚方法，占优先使用更高层次的道路，提供了一个路线集97%的覆盖率（80%的重叠阈值）。通过节点的方法产生的路由集具有令人满意的覆盖范围，并产生更多的异构路由（在链路数和路由比）。
英文摘要：
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).
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