t-CSA:快速灵活的CSA实现

T. Prasad, K. Sathyanarayanan, Sukriti Tiwari, Neena Goveas, Bharat M. Deshpande
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引用次数: 3

摘要

公共交通网络的交互式行程规划是一个挑战。我们人类通过直观地搜索时刻表寻找模式来应对旅行计划的挑战。连接扫描算法(Connection scan algorithm, CSA)是一种很有前途的交互式行程规划算法,它通过搜索时刻表来实现最佳行程规划。我们提出了t-CSA算法作为CSA的扩展。我们的贡献是双重的;我们的第一个贡献是在CSA中包含了直接连接表(DCTable),以加速发现频繁的直接连接。我们的第二个贡献是通过使用其他方式表(OMTable)将所有已知的附近车站之间的多模式连接纳入行程规划中。OMTable允许根据用户可用的交通设施定制旅行计划。我们的算法在印度公共交通网络时刻表上运行时的平均响应时间为0.7ms,其中包括印度铁路和公共汽车网络。我们发现我们的算法使交互式行程规划应用变得可行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
t-CSA: A fast and flexible CSA implementation
Interactive journey planning on public transport networks is a challenge. We humans cope with the journey planning challenge by intuitively searching timetables for patterns. Connection scan algorithm (CSA) is a promising algorithm to automate interactive journey planning by searching timetables for best possible journey plan. We propose t-CSA algorithm as an extension of CSA. Our contribution is two fold; Our first contribution is the inclusion of direct connection table (DCTable) in CSA to accelerate the discovery of frequent direct connections. Our second contribution is the inclusion of all known multi-modal connections between nearby stations in journey planning by using other means table (OMTable). OMTable permits customization of journey plan as per the transport facilities available to a user. Our algorithm has an average response time of 0.7ms when run on timetables of Indian public transport networks which includes both Indian railways and bus networks. We find that our algorithm makes interactive journey planning applications feasible.
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