Pregled bibliografske jedinice broj: 690975
A shortest path algorithm performance comparison in graph and relational database on a transportation network
A shortest path algorithm performance comparison in graph and relational database on a transportation network // Promet (Zagreb), 26 (2014), 75-82 doi:10.7307/ptt.v26i1.1268 (međunarodna recenzija, članak, znanstveni)
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Naslov
A shortest path algorithm performance comparison in graph and relational database on a transportation network
Autori
Miler, Mario ; Medak, Damir ; Odobašić, Dražen
Izvornik
Promet (Zagreb) (0353-5320) 26
(2014);
75-82
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
pgRouting; OpenStreetMap; Dijkstra; benchmark; Neo4j; PostgreSQL
Sažetak
In the field of geoinformation and transportation science, the shortest path is calculated on graph data mostly found in road and transportation networks. This data is often stored in various database systems. Many applications dealing with transportation network require calculation of the shortest path. The objective of this research is to compare the performance of Dijkstra shortest path calculation in PostgreSQL (with pgRouting) and Neo4j graph database for the purpose of determining if there is any difference regarding the speed of the calculation. Benchmarking was done on commodity hardware using OpenStreetMap road network. The first assumption is that Neo4j graph database would be well suited for the shortest path calculation on transportation networks but this does not come without some cost. Memory proved to be an issue in Neo4j setup when dealing with larger transportation networks.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija
POVEZANOST RADA
Projekti:
007-0072974-1599 - Geoinformatika i geomatičko inženjerstvo u zaštiti okoliša
Ustanove:
Geodetski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- SCI-EXP, SSCI i/ili A&HCI
Uključenost u ostale bibliografske baze podataka::
- Fluidex (Fluid Engineering Abstracts)
- Geobase
- TRID, Scopus