2017/03/17 by Julian Dibbelt, Dibbelt, Julian, Thomas Pajor +5 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Algorithms and Data Compression #Arrival time #Computer science #Connection (principal bundle) #Data Structures and Algorithms (cs.DS) #Engineering #FOS: Computer and information sciences #Mathematical optimization #Mathematics #Mobile Agent-Based Network Management #Multi-objective optimization #Optimization and Search Problems #Overlay #Pareto optimal #Pareto principle #Position (finance) #Real-time computing #Sequence (biology) #Train #cs.DS
paper · pdf · doi:10.48550/arxiv.1703.05997
arxiv created 2017/03/17 · openalex publication_date 2017/03/17 · arxiv updated 2017/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.