Abstract | ||
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Due to budget constraints public transportation (PT) can no longer be deployed in regions where it attracts insufficient customers. Novel techniques like demand-responsive collective transportation (DRT) are evaluated to cut costs. This requires detailed simulations that are able to predict travel demand and include trip execution. Simulating facilities acting as feeder services to time-table based PT services requires detailed and accurate information about the PT infrastructure on a network. However, there are no public data sources that combine network and PT infrastructure data with the preferred level of detail. |
Year | DOI | Venue |
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2017 | 10.1016/j.procs.2017.05.294 | Procedia Computer Science |
Keywords | Field | DocType |
OpenStreetMap (OSM),General Transit Feed Specification (GTFS),Micro-Simulation,Public Transport,Mapping Algorithm | Data mining,Open data,Budget constraint,Computer science,Level of detail,Public transport,General Transit Feed Specification,Operator (computer programming),Mapping algorithm,TRIPS architecture | Conference |
Volume | ISSN | Citations |
109 | 1877-0509 | 1 |
PageRank | References | Authors |
0.41 | 1 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jan Vuurstaek | 1 | 6 | 2.40 |
Glenn Cich | 2 | 8 | 3.38 |
Luk Knapen | 3 | 86 | 22.42 |
Ansar-Ul-Haque Yasar | 4 | 118 | 42.31 |
Tom Bellemans | 5 | 73 | 23.16 |
Davy Janssens | 6 | 238 | 38.08 |