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Revealing the hidden features in traffic prediction via entity embedding
(
Springer London
, 2019 , Article)
Models based on neural networks (NN) have been used widely and successfully in traffic prediction resulting in improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Input data include continuous ...
Severity analysis of red-light-running-related crashes using structural equation modeling
(
Taylor and Francis Inc.
, 2019 , Article)
The study investigated factors affecting the severity of red-light-running (RLR) -related crashes by means of crash records from the State of Florida (US). Previous studies have attempted to incorporate road, driver, and ...
Reveal the hidden layer via entity embedding in traffic prediction
(
Elsevier B.V.
, 2019 , Conference Paper)
The neural network-based models have been widely used in traffic prediction. They have improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Many variables are considered to predict traffic ...