-
1
-
-
33749039833
-
-
Transport Canada, Ottawa, Ontario. Accessed July 2014
-
Canadian Motor Vehicle Traffic Collision Statistics: 2011. Transport Canada, Ottawa, Ontario. https://www.tc.gc.ca/media/documents /roadsafety/TrafficCollisionStatisitcs-2011.pdf. Accessed July 2014.
-
Canadian Motor Vehicle Traffic Collision Statistics: 2011
-
-
-
2
-
-
0032157564
-
Applying the ordered probit model to injury severity in truck-passenger car rear-end collisions
-
TRB, National Research Council, Washington, D.C.
-
Duncan, C. S., A. J. Khattak, and F. M. Council. Applying the Ordered Probit Model to Injury Severity in Truck-Passenger Car Rear-End Collisions. In Transportation Research Record 1635, TRB, National Research Council, Washington, D.C., 1998, pp. 63-71.
-
(1998)
Transportation Research Record 1635
, pp. 63-71
-
-
Duncan, C.S.1
Khattak, A.J.2
Council, F.M.3
-
3
-
-
0036558120
-
Driver injury severity: An application of ordered probit models
-
Kockelman, K. M., and Y.-J. Kweon. Driver Injury Severity: An Application of Ordered Probit Models. Accident Analysis and Prevention, Vol. 34, 2002, pp. 313-321.
-
(2002)
Accident Analysis and Prevention
, vol.34
, pp. 313-321
-
-
Kockelman, K.M.1
Kweon, Y.-J.2
-
4
-
-
32644438447
-
Use of heteroscedastic ordered logit model to study severity of occupant injury: Distinguishing effects of vehicle weight and type
-
Transportation Research Board of the National Academies, Washington, D.C.
-
Wang, X., and K. M. Kockelman. Use of Heteroscedastic Ordered Logit Model to Study Severity of Occupant Injury: Distinguishing Effects of Vehicle Weight and Type. In Transportation Research Record: Journal of the Transportation Research Board, No. 1908, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 195-204.
-
(2005)
Transportation Research Record: Journal of the Transportation Research Board, No. 1908
, pp. 195-204
-
-
Wang, X.1
Kockelman, K.M.2
-
5
-
-
84870290936
-
Driver-injury severity in single-vehicle crash in California: A mixed logit analysis of heterogeneity due to age and gender
-
Kim, J.-K., G. F. Ulfarsson, S. Kim, and V. N. Shankar. Driver-Injury Severity in Single-Vehicle Crash in California: A Mixed Logit Analysis of Heterogeneity Due to Age and Gender. Accident Analysis and Prevention, Vol. 50, 2012, pp. 1073-1081.
-
(2012)
Accident Analysis and Prevention
, vol.50
, pp. 1073-1081
-
-
Kim, J.-K.1
Ulfarsson, G.F.2
Kim, S.3
Shankar, V.N.4
-
6
-
-
33745753402
-
Analysis of traffic injury severity: An application of non-parametric classification tree techniques
-
Chang, L.-Y., and H.-W. Wang. Analysis of Traffic Injury Severity: An Application of Non-Parametric Classification Tree Techniques. Accident Analysis and Prevention, Vol. 38, 2006, pp. 1019-1027.
-
(2006)
Accident Analysis and Prevention
, vol.38
, pp. 1019-1027
-
-
Chang, L.-Y.1
Wang, H.-W.2
-
7
-
-
85010839587
-
Comparison between parametric and nonparametric approaches for road safety analysis: Case study of winter road safety
-
Presented at Washington, D.C.
-
Thakali, L., L. Fu, and T. Chen. Comparison Between Parametric and Nonparametric Approaches for Road Safety Analysis: Case Study of Winter Road Safety. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
-
(2014)
93rd Annual Meeting of the Transportation Research Board
-
-
Thakali, L.1
Fu, L.2
Chen, T.3
-
8
-
-
1842480288
-
Predicting injury severity levels in traffic crashes: A modeling comparison
-
Abdel-Aty, M., and H. Abdelwahab. Predicting Injury Severity Levels in Traffic Crashes: A Modeling Comparison. Journal of Transportation Engineering, ASCE, Vol. 130, No. 2, 2004, pp. 204-210.
-
(2004)
Journal of Transportation Engineering, ASCE
, vol.130
, Issue.2
, pp. 204-210
-
-
Abdel-Aty, M.1
Abdelwahab, H.2
-
9
-
-
78650005069
-
Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks
-
De Oña, J. R., O. Mujalli, and F. J. Calvo. Analysis of Traffic Accident Injury Severity on Spanish Rural Highways Using Bayesian Networks. Accident Analysis and Prevention, Vol. 43, 2011, pp. 402-411.
-
(2011)
Accident Analysis and Prevention
, vol.43
, pp. 402-411
-
-
De Oña, J.R.1
Mujalli, O.2
Calvo, F.J.3
-
10
-
-
0003802343
-
-
Chapman & Hall/CRC, Boca Raton, Fla
-
Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Chapman & Hall/CRC, Boca Raton, Fla., 1998.
-
(1998)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
11
-
-
78149466870
-
A classification tree based modeling approach for segment related crashes on multilane highways
-
Pande, A., M. Abdel-Aty, and A. Das. A Classification Tree Based Modeling Approach for Segment Related Crashes on Multilane Highways. Journal of Safety Research, Vol. 41, 2010, pp. 391-397.
-
(2010)
Journal of Safety Research
, vol.41
, pp. 391-397
-
-
Pande, A.1
Abdel-Aty, M.2
Das, A.3
-
12
-
-
84867061091
-
Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery
-
Montella, A., M. Aria, A. D'Ambrosio, and F. Mauriello. Analysis of Powered Two-Wheeler Crashes in Italy by Classification Trees and Rules Discovery. Accident Analysis and Prevention, Vol. 49, 2012, pp. 58-72.
-
(2012)
Accident Analysis and Prevention
, vol.49
, pp. 58-72
-
-
Montella, A.1
Aria, M.2
D'Ambrosio, A.3
Mauriello, F.4
-
13
-
-
84975837386
-
Using decision tree modeling to analyze factors contributing to injury and fatality of run-off-road crashes in Ohio
-
Presented at, Washington, D.C.
-
Eustace, D., O. Almutairi, P. W. Hovey, and G. Shoup. Using Decision Tree Modeling to Analyze Factors Contributing to Injury and Fatality of Run-Off-Road Crashes in Ohio. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
-
(2014)
93rd Annual Meeting of the Transportation Research Board
-
-
Eustace, D.1
Almutairi, O.2
Hovey, P.W.3
Shoup, G.4
-
14
-
-
0035478854
-
Random forests
-
Breiman, L. Random Forests. Machine Learning, Vol. 45, No. 1, 2001, pp. 5-32.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
15
-
-
57849165378
-
Exploring precrash maneuvers using classification trees and random forests
-
Harb, R., X. Yan, E. Radwan, and X. Su. Exploring Precrash Maneuvers Using Classification Trees and Random Forests. Accident Analysis and Prevention, Vol. 41, 2009, pp. 98-107.
-
(2009)
Accident Analysis and Prevention
, vol.41
, pp. 98-107
-
-
Harb, R.1
Yan, X.2
Radwan, E.3
Su, X.4
-
16
-
-
33847096395
-
Bias in random forest variable importance measures: Illustrations, sources and a solution
-
Strobl, C., A.-L. Boulesteix, A. Zeileis, and T. Hothorn. Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution. BMC Bioinformatics, Vol. 8, 2007, p. 25.
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 25
-
-
Strobl, C.1
Boulesteix, A.-L.2
Zeileis, A.3
Hothorn, T.4
-
17
-
-
70349184595
-
Using conditional inference forests to identify the factors affecting crash severity on arterial corridors
-
Das, A., M. Abdel-Aty, and A. Pande. Using Conditional Inference Forests to Identify the Factors Affecting Crash Severity on Arterial Corridors. Journal of Safety Research, Vol. 40, 2009, pp. 317-327.
-
(2009)
Journal of Safety Research
, vol.40
, pp. 317-327
-
-
Das, A.1
Abdel-Aty, M.2
Pande, A.3
-
18
-
-
34247115449
-
Boosted trees for ecological modeling and prediction
-
De'ath, G. Boosted Trees for Ecological Modeling and Prediction. Ecology, Vol. 88, No. 1, 2007, pp. 243-251.
-
(2007)
Ecology
, vol.88
, Issue.1
, pp. 243-251
-
-
De'Ath, G.1
-
19
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
Friedman, J. H. Greedy Function Approximation: A Gradient Boosting Machine. Annals of Statistics, Vol. 29, No. 5, 2001, pp. 1189-1232.
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
20
-
-
44849118698
-
A working guide to boosted regression trees
-
Elith, J., J. R. Leathwick, and T. Hastie. A Working Guide to Boosted Regression Trees. Journal of Animal Ecology, Vol. 77, 2008, pp. 802-813.
-
(2008)
Journal of Animal Ecology
, vol.77
, pp. 802-813
-
-
Elith, J.1
Leathwick, J.R.2
Hastie, T.3
-
21
-
-
67649280364
-
Analysis of air pollution data at a mixed source location using boosted regression trees
-
Carslaw, D. C., and P. J. Taylor. Analysis of Air Pollution Data at a Mixed Source Location Using Boosted Regression Trees. Atmospheric Environment, Vol. 43, 2009, pp. 3563-3570.
-
(2009)
Atmospheric Environment
, vol.43
, pp. 3563-3570
-
-
Carslaw, D.C.1
Taylor, P.J.2
-
22
-
-
84907436927
-
Assessment of land use factors associated with dengue cases in Malaysia using boosted regression trees
-
July
-
Cheong, Y. L., P. J. Leitão, and T. Lakes. Assessment of Land Use Factors Associated with Dengue Cases in Malaysia Using Boosted Regression Trees. Spatial and Spatio-Temporal Epidemiology, Vol. 10, July 2014, pp. 75-84.
-
(2014)
Spatial and Spatio-Temporal Epidemiology
, vol.10
, pp. 75-84
-
-
Cheong, Y.L.1
Leitão, P.J.2
Lakes, T.3
-
23
-
-
84888287177
-
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
-
Chung, Y.-S. Factor Complexity of Crash Occurrence: An Empirical Demonstration Using Boosted Regression Trees. Accident Analysis and Prevention, Vol. 61, 2013, pp. 107-118.
-
(2013)
Accident Analysis and Prevention
, vol.61
, pp. 107-118
-
-
Chung, Y.-S.1
-
24
-
-
34548498105
-
Probabilistic models of motorcyclists' injury severities in single-and multi-vehicle crashes
-
Savolainen, P. T., and F. L. Mannering. Probabilistic Models of Motorcyclists' Injury Severities in Single-and Multi-Vehicle Crashes. Accident Analysis and Prevention, Vol. 39, 2007, pp. 955-963.
-
(2007)
Accident Analysis and Prevention
, vol.39
, pp. 955-963
-
-
Savolainen, P.T.1
Mannering, F.L.2
-
25
-
-
79958207517
-
Injury severities of truck drivers in single-and multi-vehicle accidents on rural highways
-
Chen, F., and S. Chen. Injury Severities of Truck Drivers in Single-and Multi-Vehicle Accidents on Rural Highways. Accident Analysis and Prevention, Vol. 43, 2011, pp. 1677-1688.
-
(2011)
Accident Analysis and Prevention
, vol.43
, pp. 1677-1688
-
-
Chen, F.1
Chen, S.2
-
26
-
-
84903593123
-
Analysis of injury severity of drivers involved in single-and two-vehicle crashes on highways in Ontario
-
Lee, C., and X. Li. Analysis of Injury Severity of Drivers Involved in Single-and Two-Vehicle Crashes on Highways in Ontario. Accident Analysis and Prevention, Vol. 71, 2014, pp. 286-295.
-
(2014)
Accident Analysis and Prevention
, vol.71
, pp. 286-295
-
-
Lee, C.1
Li, X.2
-
28
-
-
85172831821
-
-
SAS Institute Inc., Cary, N.C.
-
SAS Enterprise Miner 6.2. SAS Institute Inc., Cary, N.C., 2009.
-
(2009)
SAS Enterprise Miner 6.2
-
-
-
29
-
-
0003684449
-
-
2nd ed. Springer, Berlin
-
Hastie, T., R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. Springer, Berlin, 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
31
-
-
56749107702
-
Clinical tests: Sensitivity and specificity
-
Lalkhen, A. G., and A. McCluskey. Clinical Tests: Sensitivity and Specificity. Continuing Education in Anaesthesia, Critical Care and Pain, Vol. 8, No. 6, 2008, pp. 221-223.
-
(2008)
Continuing Education in Anaesthesia, Critical Care and Pain
, vol.8
, Issue.6
, pp. 221-223
-
-
Lalkhen, A.G.1
McCluskey, A.2
|