Data di Pubblicazione:
2022
Citazione:
Road Network Graph Representation for Traffic Analysis and Routing / Bachechi, C.; Po, L.. - 13389:(2022), pp. 75-89. ( 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022 ita 2022) [10.1007/978-3-031-15740-0_7].
Abstract:
The road network is the infrastructure along which the mobility of users and goods takes place; the analysis of these networks in terms of spatial and graph theoretical approaches can provide insights to understand urban mobility, improve daily commuting, and reflect on new, more sustainable, scenarios. This paper presents an open-source framework to analyze the road network and investigate the relationship between its topology and traffic conditions. Open-source geographical data are stored in a graph database containing roads, junctions, and Points of Interest (POI), allowing importing of traffic data. The framework includes routing algorithms to obtain the optimal path based on different aspects such as distance, traffic volume, and the number of traversed junctions; furthermore, it allows simulating road closures to observe how they affect road viability. The framework was tested in the use case of the city of Modena (Italy) providing promising results.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Graph database; Network modelling; Road network; Road traffic; Routing; Smart city
Elenco autori:
Bachechi, C.; Po, L.
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in: