-
1
-
-
27444432717
-
The 100-car naturalistic driving study
-
U.S. Department of Transportation
-
Dingus, T. A., S. G. Klauer, V. L. Neale, A. Petersen, S. E. Lee, J. Sudweeks, M. A. Perez, J. Hankey, D. Ramsey, S. Gupta, C. Bucher, Z. R. Doerzaph, J. Jermeland, and R. R. Knipling. The 100-Car Naturalistic Driving Study, Phase II-Results of the 100-Car Field Experiment. U.S. Department of Transportation, 2006.
-
(2006)
Phase II-Results of the 100-Car Field Experiment
-
-
Dingus, T.A.1
Klauer, S.G.2
Neale, V.L.3
Petersen, A.4
Lee, S.E.5
Sudweeks, J.6
Perez, M.A.7
Hankey, J.8
Ramsey, D.9
Gupta, S.10
Bucher, C.11
Doerzaph, Z.R.12
Jermeland, J.13
Knipling, R.R.14
-
2
-
-
84856667347
-
Analysis of crash rates and surrogate events: Unified approach
-
Transportation Research Board of the National Academies, Washington, D.C.
-
Gordon, T. J., L. P. Kostyniuk, P. E. Green, M. A. Barnes, D. Blower, A. D. Blankespoor, and S. E. Bogard. Analysis of Crash Rates and Surrogate Events: Unified Approach. In Transportation Research Record: Journal of the Transportation Research Board, No. 2237, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 1-9.
-
(2011)
Transportation Research Record: Journal of the Transportation Research Board 2237
, pp. 1-9
-
-
Gordon, T.J.1
Kostyniuk, L.P.2
Green, P.E.3
Barnes, M.A.4
Blower, D.5
Blankespoor, A.D.6
Bogard, S.E.7
-
3
-
-
78651268953
-
Near crashes as crash surrogate for naturalistic driving studies
-
Transportation Research Board of the National Academies, Washington, D.C.
-
Guo, F., S. G. Klauer, J. M. Hankey, and T. A. Dingus. Near Crashes as Crash Surrogate for Naturalistic Driving Studies. In Transportation Research Record: Journal of the Transportation Research Board, No. 2147, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 66-74.
-
(2010)
Transportation Research Record: Journal of the Transportation Research Board 2147
, pp. 66-74
-
-
Guo, F.1
Klauer, S.G.2
Hankey, J.M.3
Dingus, T.A.4
-
4
-
-
84855211714
-
Analysis of naturalistic driving event data: Omitted-variable bias and multilevel modeling approaches
-
Transportation Research Board of the National Academies, Washington, D.C.
-
Jovanis, P. P., J. Aguero-Valverde, K.-F. Wu, and V. Shankar. Analysis of Naturalistic Driving Event Data: Omitted-Variable Bias and Multilevel Modeling Approaches. In Transportation Research Record: Journal of the Transportation Research Board, No. 2236, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 49-57.
-
(2011)
Transportation Research Record: Journal of the Transportation Research Board 2236
, pp. 49-57
-
-
Jovanis, P.P.1
Aguero-Valverde, J.2
Wu, K.-F.3
Shankar, V.4
-
5
-
-
33749065772
-
The development of a naturalistic data collection system to perform critical incident analysis: An investigation of safety and fatigue issues in long-haul trucking
-
Dingus, T. A., V. L. Neale, S. G. Klauer, A. D. Petersen, and R. J. Carroll. The Development of a Naturalistic Data Collection System to Perform Critical Incident Analysis: An Investigation of Safety and Fatigue Issues in Long-Haul Trucking. Accident Analysis and Prevention, Vol. 38, No. 6, 2006, pp. 1127-1136.
-
(2006)
Accident Analysis and Prevention
, vol.38
, Issue.6
, pp. 1127-1136
-
-
Dingus, T.A.1
Neale, V.L.2
Klauer, S.G.3
Petersen, A.D.4
Carroll, R.J.5
-
6
-
-
35348862994
-
An overview of the 100-car naturalistic study and findings
-
FHWA, U.S. Department of Transportation
-
Neale, V. L., T. A. Dingus, S. G. Klauer, J. Sudweeks, and M. J. Goodman. An Overview of the 100-Car Naturalistic Study and Findings. Proc., 19th International Technical Conference on the Enhanced Safety of Vehicles, FHWA, U.S. Department of Transportation, 2005.
-
(2005)
Proc. 19th International Technical Conference on the Enhanced Safety of Vehicles
-
-
Neale, V.L.1
Dingus, T.A.2
Klauer, S.G.3
Sudweeks, J.4
Goodman, M.J.5
-
7
-
-
84897137028
-
Chunking: A procedure to improve naturalistic data analysis
-
Dozza, M., J. Bargman, and J. D. Lee. Chunking: A Procedure to Improve Naturalistic Data Analysis. Accident Analysis and Prevention, Vol. 58, 2013, pp. 309-317.
-
(2013)
Accident Analysis and Prevention
, vol.58
, pp. 309-317
-
-
Dozza, M.1
Bargman, J.2
Lee, J.D.3
-
8
-
-
34548093287
-
Experiencing SAX: A novel symbolic representation of time series
-
Lin, J. Experiencing SAX: A Novel Symbolic Representation of Time Series. Data Mining and Knowledge Discovery, Vol. 15, No. 2, 2007, pp. 107-144.
-
(2007)
Data Mining and Knowledge Discovery
, vol.15
, Issue.2
, pp. 107-144
-
-
Lin, J.1
-
9
-
-
85173198895
-
Mining heterogeneous multivariate time-series for learning meaningful patterns: Application to home health telecare
-
France
-
Duchene, F., C. Garbay, and V. Rialle. Mining Heterogeneous Multivariate Time-Series for Learning Meaningful Patterns: Application to Home Health Telecare. IMAG, Grenoble, France, 2004.
-
(2004)
IMAG, Grenoble
-
-
Duchene, F.1
Garbay, C.2
Rialle, V.3
-
10
-
-
36849049984
-
Understanding the formation of tornadoes through data mining
-
San Antonio, Tex.
-
McGovern, A., D. Rosenthal, A. Kruger, M. Beaton, R. Brown, and K. Droegemeier. Understanding the Formation of Tornadoes through Data Mining. Proc., 5th Conference on Artificial Intelligence and Its Applications to Environmental Sciences at the American Meteorological Society Annual Conference, San Antonio, Tex., 2007.
-
(2007)
Proc., 5th Conference on Artificial Intelligence and Its Applications to Environmental Sciences at the American Meteorological Society Annual Conference
-
-
McGovern, A.1
Rosenthal, D.2
Kruger, A.3
Beaton, M.4
Brown, R.5
Droegemeier, K.6
-
11
-
-
84890514466
-
New time series data representation esax for financial applications
-
IEEE, New York
-
Lkhagva, B., and K. Kawagoe. New Time Series Data Representation ESAX for Financial Applications. In 22nd International Conference on Data Engineering Workshops (ICDEW '06), IEEE, New York, 2006, pp. 17-22.
-
(2006)
22nd International Conference on Data Engineering Workshops (ICDEW '06)
, pp. 17-22
-
-
Lkhagva, B.1
Kawagoe, K.2
-
12
-
-
84863304598
-
-
R Development Core Team R Foundation for Statistical Computing, Vienna, Austria
-
R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2012.
-
(2012)
R: A Language and Environment for Statistical Computing
-
-
-
13
-
-
33847127741
-
-
Report DOT HS 810594. NHTSA, Washington, D.C.
-
Klauer, S. G., T. A. Dingus, V. L. Neale, J. D. Sudweeks, and D. J. Ramsey. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data. Report DOT HS 810594. NHTSA, Washington, D.C., 2006.
-
(2006)
The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data
-
-
Klauer, S.G.1
Dingus, T.A.2
Neale, V.L.3
Sudweeks, J.D.4
Ramsey, D.J.5
-
14
-
-
51749089977
-
Intelligent icons: Integrating lite-weight data mining and visualization into GUI operating systems
-
Hong Kong, China, IEEE, New York
-
Keogh, E. Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. Proc., 6th IEEE International Conference on Data Mining, Hong Kong, China, IEEE, New York, 2006.
-
(2006)
Proc., 6th IEEE International Conference on Data Mining
-
-
Keogh, E.1
-
15
-
-
0014129195
-
Hierarchical clustering schemes
-
Johnson, S. Hierarchical Clustering Schemes. Psychometrika, Vol. 32, No. 3, 1967, pp. 241-254.
-
(1967)
Psychometrika
, vol.32
, Issue.3
, pp. 241-254
-
-
Johnson, S.1
-
16
-
-
0032674505
-
Statistical models for text segmentation
-
Beeferman, D., A. Berger, and J. Lafferty. Statistical Models for Text Segmentation. Machine Learning, Vol. 34, No. 1, 1999, p. 177-210.
-
(1999)
Machine Learning
, vol.34
, Issue.1
, pp. 177-210
-
-
Beeferman, D.1
Berger, A.2
Lafferty, J.3
-
17
-
-
51449100133
-
Voting experts: An unsupervised algorithm for segmenting sequences
-
Cohen, P. R., N. Adams, and B. Heeringa. Voting Experts: An Unsupervised Algorithm for Segmenting Sequences. Intelligent Data Analytics, Vol. 11, No. 6, 2006, pp. 607-625.
-
(2006)
Intelligent Data Analytics
, vol.11
, Issue.6
, pp. 607-625
-
-
Cohen, P.R.1
Adams, N.2
Heeringa, B.3
|