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inTformer: A Time-Embedded Attention-Based Transformer for Crash
  Likelihood Prediction at Intersections Using Connected Vehicle Data

inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data

7 July 2023
B. M. Tazbiul
Zubayer Islam
Mohamed Abdel-Aty
ArXivPDFHTML

Papers citing "inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data"

3 / 3 papers shown
Title
Recent Advances in Traffic Accident Analysis and Prediction: A
  Comprehensive Review of Machine Learning Techniques
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Noushin Behboudi
Sobhan Moosavi
R. Ramnath
29
4
0
20 Jun 2024
Prediction of Crash Injury Severity in Florida's Interstate-95
Prediction of Crash Injury Severity in Florida's Interstate-95
B. M. Tazbiul
Md Mobasshir Rashid
Md Jamil Ahsan
13
1
0
16 Dec 2023
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,273
0
09 Jun 2011
1