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Adapting, analyzing and benchmarking transportation routing algorithms for realistic real-time environments

Otten, Yoeri (2021) Adapting, analyzing and benchmarking transportation routing algorithms for realistic real-time environments.

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Abstract:There are many algorithms to find paths within a public transportation timetable, often relying upon preprocessing or complex data structures to speed up the process. While these algorithms have undergone many tests, there has not been a review with these algorithms with real-time realistic data. This makes it difficult to choose the most suitable algorithm necessary in most real-world scenarios. We compare several commonly used algorithms adapted for real-time data and test them in static and real-time environments to figure out which problems are encountered, and which algorithm(s) best adapt to those problems.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/85684
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