Algorithmic Methods for Railway Optimization - Info and Reading Options

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Intro -- Part IState of the Art -- The Modeling Power of the Periodic Event Scheduling Problem: Railway Timetables - and Beyond -- Introduction -- The Periodic Event Scheduling Problem (PESP) -- Timetabling Requirements Covered by the PESP -- Elementary Requirements -- More Sophisticated Requirements -- General Modeling Capabilities -- Timetabling Requirements Not Covered by the PESP -- Balanced Reduction of Service -- Symmetry of a Periodic Timetable -- Further Planning Steps Covered by the PESP -- Aspects of Vehicle Scheduling -- Aspects of Line Planning -- Aspects of Network Planning -- Conclusion -- Cyclic Railway Timetabling: A Stochastic Optimization Approach -- Introduction -- Running Time Supplements -- A Trade-Off -- Application in Practice -- A Single Train on a Single Line -- Convergence -- Optimal Running Time Supplement -- Stochastic Optimization Model -- Proof of Convergence -- Computational Results -- Optimal Allocation of Running Time Supplements -- Different Amounts of Running Time Supplement -- Several Trains on a Common Railway Infrastructure -- Timetabling Part of the Model -- Evaluation Part of the Model -- Computational Results -- Case: Haarlem--Maastricht/Heerlen -- Results -- Sensitivity Analysis -- Final Remarks and Further Research -- Timetable Information: Models and Algorithms -- Introduction -- Two-Phase Approaches -- Direct Shortest Path Approaches -- Problem Specification -- Data -- Connections -- Criteria and Queries -- Basic Modeling: The Earliest Arrival Problem -- Time-Expanded Model -- Time-Dependent Model -- Comparison of Models -- Realistic Modeling -- Transfers Rules -- Foot-Edges -- Traffic Days -- The Minimum Number of Transfers Problem -- Extended Queries -- Multi-criteria Optimization -- Exact Approaches -- Approximation Approaches -- Normalization Approaches -- Lexicographical Ordering -- Performance

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