Connection Scan Algorithm
March 17, 2017 Β· Declared Dead Β· π ACM Journal of Experimental Algorithmics
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Authors
Julian Dibbelt, Thomas Pajor, Ben Strasser, Dorothea Wagner
arXiv ID
1703.05997
Category
cs.DS: Data Structures & Algorithms
Citations
62
Venue
ACM Journal of Experimental Algorithmics
Last Checked
3 months ago
Abstract
We introduce the Connection Scan Algorithm (CSA) to efficiently answer queries to timetable information systems. The input consists, in the simplest setting, of a source position and a desired target position. The output consist is a sequence of vehicles such as trains or buses that a traveler should take to get from the source to the target. We study several problem variations such as the earliest arrival and profile problems. We present algorithm variants that only optimize the arrival time or additionally optimize the number of transfers in the Pareto sense. An advantage of CSA is that is can easily adjust to changes in the timetable, allowing the easy incorporation of known vehicle delays. We additionally introduce the Minimum Expected Arrival Time (MEAT) problem to handle possible, uncertain, future vehicle delays. We present a solution to the MEAT problem that is based upon CSA. Finally, we extend CSA using the multilevel overlay paradigm to answer complex queries on nation-wide integrated timetables with trains and buses.
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