scholarly journals A new time-dependent shortest path algorithm for multimodal transportation network

2017 ◽  
Vol 109 ◽  
pp. 692-697 ◽  
Author(s):  
Abdelfattah Idri ◽  
Mariyem Oukarfi ◽  
Azedine Boulmakoul ◽  
Karine Zeitouni ◽  
Ali Masri
2017 ◽  
Vol 27 ◽  
pp. 294-300 ◽  
Author(s):  
Abdelfattah Idri ◽  
Mariyem Oukarfi ◽  
Azedine Boulmakoul ◽  
Karine Zeitouni ◽  
Ali Masri

2020 ◽  
pp. 21-28
Author(s):  
Avishek Chakraborty ◽  

Real-human kind issues have distinct sort of ambiguity and among them; one of the critical troubles is solving the shortest path problem. In this contribution, we applied the developed score function and accuracy function of pentagonal neutrosophic number (PNN) into a shortage path selection problem. Further, a time dependent and heuristic cost function related shortest path algorithm is considered here in PNN area and solved it utilizing an influx of dissimilar rational pioneer thinking. Lastly, estimation of total ideal time of the graph reflects the importance of this noble work.


2014 ◽  
Vol 26 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Mario Miler ◽  
Damir Medak ◽  
Dražen Odobašić

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.


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