Nature

Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

As the process of urbanization accelerates continuously and the demand for transportation increases rapidly, urban road traffic has witnessed social problems such as traffic congestion, environmental ...
Nature

An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks

Considering, growing quantity of automobiles on the road, modern transportation schemes face significant challenges such as gridlock, frequent accidents, thenconservational deterioration. When taking ...
National Academies of Sciences%2c Engineering%2c and Medicine

Methods for Assigning Short-Duration Traffic Volume Counts to Adjustment Factor Groups to Estimate AADT

Ahamed, R., Lankathilake, T., & Amarasingha, N. (2019). Experience of automatic traffic data collection for development of adjustment factors in Colombo suburban. Journal of the Eastern Asia Society ...