We successfully contract timetable networks with realistic transfer times. Contraction gradually removes nodes from the graph and adds shortcuts to preserve shortest paths. This reduces query times to 1ms with preprocessing times around 6 minutes on all tested instances. We achieve this by an improved contraction algorithm and by using a station graph model. Every node in our graph has a one-to-one correspondence to a station and every edge has an assigned collection of connections. Our graph model does not need parallel edges. The query algorithm does not compute a single earliest arrival time at a station but a set of arriving connections that allow best transfer opportunities.
Millions of people use public transportation and consult electronic timetable information systems. A...
The purpose with this report is to develop a network based insertion algorithm and evaluate it on a ...
In public transport punctuality has prominent influence on the customers’ satisfaction. Our task is ...
In this paper we suggest a new approach to timetable information by introducing the "edge-converted ...
In this paper we suggest a new approach to timetable information by introducing the ``edge-convert...
We present an extension of the well-known time-expanded approach for timetable information. By remod...
Speeding up multi-criteria search in real timetable information systems remains a challenge in spite...
The paper studies a train scheduling problem faced by railway infrastructure managers during real-ti...
We consider two approaches that model timetable information in public transportation systems as shor...
This article tackles the real-world planning problem of railway operations. Improving the timetable ...
Many efforts have been done in the last years to model public transport timetables in order to find ...
We study the problem of computing delay-robust routes in timetable networks. Instead of a single pat...
Many efforts have been done in the last years to model public transport timetables in order to find ...
During the last years, impressive speed-up techniques for Dijkstra\u27s algorithm have been develope...
The paper studies a train scheduling problem faced by railway infrastructure managers during real-ti...
Millions of people use public transportation and consult electronic timetable information systems. A...
The purpose with this report is to develop a network based insertion algorithm and evaluate it on a ...
In public transport punctuality has prominent influence on the customers’ satisfaction. Our task is ...
In this paper we suggest a new approach to timetable information by introducing the "edge-converted ...
In this paper we suggest a new approach to timetable information by introducing the ``edge-convert...
We present an extension of the well-known time-expanded approach for timetable information. By remod...
Speeding up multi-criteria search in real timetable information systems remains a challenge in spite...
The paper studies a train scheduling problem faced by railway infrastructure managers during real-ti...
We consider two approaches that model timetable information in public transportation systems as shor...
This article tackles the real-world planning problem of railway operations. Improving the timetable ...
Many efforts have been done in the last years to model public transport timetables in order to find ...
We study the problem of computing delay-robust routes in timetable networks. Instead of a single pat...
Many efforts have been done in the last years to model public transport timetables in order to find ...
During the last years, impressive speed-up techniques for Dijkstra\u27s algorithm have been develope...
The paper studies a train scheduling problem faced by railway infrastructure managers during real-ti...
Millions of people use public transportation and consult electronic timetable information systems. A...
The purpose with this report is to develop a network based insertion algorithm and evaluate it on a ...
In public transport punctuality has prominent influence on the customers’ satisfaction. Our task is ...