[HTML][HTML] Evaluation and improvement of the urban transportation networks resilience in short-term non-recurring traffic congestion: a novel graph connectivity-based …

MA Gorji, M Akbarzadeh… - Transportation Engineering, 2022 - Elsevier
Work or study purpose trips usually make up most intercity trips during peak hours. Being at
a destination at a specific time is one of the characteristics of such trips, and the occurrence …

Mapping to cells: a map-independent approach for traffic congestion detection and evolution pattern recognition

C Song, Y Wang, L Wang, J Wang… - … Planning and Technology, 2024 - Taylor & Francis
Map matching is a fundamental prerequisite for traffic engineers in detecting congestion
using location data represented by trajectory data. Previous studies often revolve around …

Semantic communities from graph-inspired visual representations of cityscapes

V Balaska, E Theodoridis, IT Papapetros… - Automation, 2023 - mdpi.com
The swift development of autonomous vehicles raises the necessity of semantically mapping
the environment by producing distinguishable representations to recognise similar areas. To …

MGL2Rank: Learning to rank the importance of nodes in road networks based on multi-graph fusion

M Xu, J Zhang - Information Sciences, 2024 - Elsevier
The identification of important nodes with strong propagation capabilities in road networks is
a vital topic in urban planning. Existing methods for evaluating the importance of nodes in …

[PDF][PDF] WorldKG: World-Scale Completion of Geographic Information

A Dsouza, N Tempelmeier, S Gottschalk… - … and Social Context, 2023 - library.oapen.org
Abstract Knowledge graphs provide standardized machine-readable representations of real-
world entities and their relations. However, the coverage of geographic entities in popular …

Hybridization of Apriori Algorithm and Genetic Algorithm for Association Rule Mining in Generative AI Enabled Machine Learning

NA Rizvi, P Buchke - 2024 IEEE International Students' …, 2024 - ieeexplore.ieee.org
Machine learning (ML) is software technology which exploits Generative Artificial
Intelligence (GAI) to train sophisticated advance software applications, which are capable to …