… -term traffic forecasting in urban road networks through implicit … to the geometrical
characteristics of the urban roads under … to the real life operations, when the prediction model can …

… is focused in road features forecasting, specially traffic … prediction from floating car data
(FCD) sources, and highlights the relevance of forecasting this feature for ATIS and operational …

… Frequency distribution of road temperature errors for all three stations in automatic mode …
, together with meteorological forecasts from the operational Global Environmental Multiscale (…

… Through convolutional operations on graph, spatial features of … The goal of traffic forecasting
is to predict the future vehicle … traffic flow forecasting on road network as a spatial-temporal …

… traffic forecast parameters for both planning and operational … of traffic operational performance
using automatic plate … Traffic data (ie AADT, DHV, and DDHV) and road characteristics …

… between roadways in the traffic network and forecast the network-… high dimensional features
and achieve good forecasting … operations into their proposed models to learn traffic features…

… layers, allowing parallel operation on the input sequence and … speed and acceleration
attributes of floating car GPS data, … global road network traffic state identification and prediction …

… prediction model at electric vehicle (EV) charging stations … virtual road at the nearby
location of one of the nearest roads… of charging stations with operational characteristics. These …

… holidays) and spatial characteristics (road types), and … the Google Maps API and floating
car method to verify travel time … methods for different section types and time operation modes, …

… (eg, congestion) experienced on the roads today thanks to the real-time Vehicle-to-everything
(… core characteristics that may alter the complexity of modeling traffic forecasting regression …