基于出行的公共交通路径选择
Trip-Based Public Transit Routing
摘要:
我们研究的问题,计算所有的帕累托最优行程在公共交通网络的两个标准的到达时间和数量的转移。我们采取了一种新颖的方法,专注于旅行和它们之间的转移,允许细粒度的建模。我们的实验结果表明,该算法计算完整的24小时配置文件在70毫秒后的预处理阶段的30秒,允许快速查询的动态场景。
英文摘要:
We study the problem of computing all Pareto-optimal journeys in a public transit network regarding the two criteria of arrival time and number of transfers taken. We take a novel approach, focusing on trips and transfers between them, allowing fine-grained modeling. Our experiments on the metropolitan network of London show that the algorithm computes full 24-hour profiles in 70 ms after a preprocessing phase of 30 s, allowing fast queries in dynamic scenarios.
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