Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
With the progress of urban transportation systems, a significant amount of high-quality traffic
data is continuously collected through streaming manners, which has propelled the …
data is continuously collected through streaming manners, which has propelled the …
The role of artificial intelligence in managing emergencies and crises within smart cities
SS Haghshenas, G Guido… - … on Information and …, 2023 - ieeexplore.ieee.org
The rapid growth of urbanization and the consequent rise in the urban population have
created unprecedented challenges for cities. Traditional methods have proven insufficient in …
created unprecedented challenges for cities. Traditional methods have proven insufficient in …
Jam Propagation Analysis With Mesoscopic Traffic Simulation
B Varga, T Tettamanti - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Road traffic simulation is becoming more important as the complexity and multi-modality of
traffic grow with the evolution of novel transportation and automotive technologies. There are …
traffic grow with the evolution of novel transportation and automotive technologies. There are …
A transformer-based method for vessel traffic flow forecasting
P Mandalis, E Chondrodima, Y Kontoulis, N Pelekis… - GeoInformatica, 2024 - Springer
In recent years, the maritime domain has experienced tremendous growth due to the
exploitation of big traffic data. Particular emphasis has been placed on deep learning …
exploitation of big traffic data. Particular emphasis has been placed on deep learning …
Estimating annual average daily traffic (AADT) data on low-volume roads with the cokriging technique and census/population data
E Baffoe-Twum, E Asa, B Awuku - Emerald Open Research, 2023 - emerald.com
Background: Geostatistics focuses on spatial or spatiotemporal datasets. Geostatistics was
initially developed to generate probability distribution predictions of ore grade in the mining …
initially developed to generate probability distribution predictions of ore grade in the mining …