A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion

2001 ◽  
Vol 35 (6) ◽  
pp. 575-592 ◽  
Author(s):  
Jiuh-Biing Sheu ◽  
Yi-Hwa Chou ◽  
Liang-Jen Shen
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Stochastic Estimation ◽  
Freeway Traffic ◽  
Time Prediction

Real-time Prediction Of Traffic Congestion

2005 ◽  
Author(s):  
M. Ben-Akiva ◽  
G. Cantarella ◽  
E. Cascetta ◽  
J. de Ruiter ◽  
J. Whittaker ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Time Prediction

Real-time prediction and avoidance of secondary crashes under unexpected traffic congestion

2018 ◽  
Vol 112 ◽  
pp. 39-49 ◽  
Author(s):  
Hyoshin Park ◽  
Ali Haghani ◽  
Siby Samuel ◽  
Michael A. Knodler
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Time Prediction ◽  
Secondary Crashes

Real-Time Prediction of Tropical Cyclone Intensity Using COAMPS-TC

2012 ◽  
Author(s):  
J. D. Doyle ◽  
R. M. Hodur ◽  
S. Chen ◽  
H. Jin ◽  
Y. Jin ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
Real Time ◽  
Tropical Cyclone Intensity ◽  
Cyclone Intensity ◽  
Time Prediction

scholarly journals Real-time prediction of 1H and 13C chemical shifts with DFT accuracy using a 3D graph neural network

2021 ◽  
Author(s):  
Yanfei Guan ◽  
S. V. Shree Sowndarya ◽  
Liliana C. Gallegos ◽  
Peter C. St. John ◽  
Robert S. Paton
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Quantum Chemical ◽  
Organic Molecules ◽  
Chemical Shifts ◽  
13C Chemical Shifts ◽  
Time Prediction ◽  
Nmr Data ◽  
Proton Chemical Shifts

From quantum chemical and experimental NMR data, a 3D graph neural network, CASCADE, has been developed to predict carbon and proton chemical shifts. Stereoisomers and conformers of organic molecules can be correctly distinguished.

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