Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source
Vog: Using Volcanic Eruptions to Estimate the Health Costs of Particulates
The negative consequences of long‐term exposure to particulate pollution are well established but a number of studies find no effect of short‐term exposure on health outcomes. The high correlation of industrial pollutants complicates the estimation of the impact of individual pollutants on health.
Timothy J. Halliday +2 more
wiley +1 more source
Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter. [PDF]
Salazar-Carrillo J +5 more
europepmc +1 more source
Intelligent Urban Traffic Congestion Prediction Through Accident-Aware and Time-Dependent Traffic Analytics. [PDF]
Ali A, Zafar N, Albahli S, Shiraz M.
europepmc +1 more source
Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-19. [PDF]
Loo BPY, Huang Z.
europepmc +1 more source
Estimating the Welfare Effect of Congestion Taxes: The Critical Importance of Other Distortions within the Transport System [PDF]
This paper uses analytical and numerical models to illustrate how the presence of other distortions within the transport system changes the overall welfare effect of a congestion tax.
Bento, Antonio, Parry, Ian
core
Effect of traffic congestion on mental health in Riyadh, Saudi Arabia. [PDF]
Abdulrahman KAB +6 more
europepmc +1 more source
On the Marginal Cost of Road Congestion: an Evaluation Method with Application to the Paris Region [PDF]
The paper analyzes the sensitivity of the marginal congestion cost on a roadway network to the level of aggregation in space, from utmost disaggregate to utmost aggregate. Simulation and aggregation are based on a static network assignment model.Marginal
Fabien Leurent, Vincent Breteau
core
Self-Reported Impact of Road Traffic Congestion on Persons Commuting to and From Work. [PDF]
Bahall M +8 more
europepmc +1 more source

