-
1
-
-
84972539015
-
Neural networks: A review from a statistical perspective
-
Cheng, B., & Titterington, D. M. (1994). Neural networks: A review from a statistical perspective. Statistical Science, 9, 2-54.
-
(1994)
Statistical Science
, vol.9
, pp. 2-54
-
-
Cheng, B.1
Titterington, D.M.2
-
3
-
-
79951775181
-
Statistics versus neural networks in transportation research: Differences, similarities and some insights
-
Karlaftis, M. G., & Vlahogianni, E. I. (2011). Statistics versus neural networks in transportation research: Differences, similarities and some insights. Transportation Research Part C: Emerging Technologies, 19(3), 387-399.
-
(2011)
Transportation Research Part C: Emerging Technologies
, vol.19
, Issue.3
, pp. 387-399
-
-
Karlaftis, M.G.1
Vlahogianni, E.I.2
-
4
-
-
0347372912
-
ITS impacts on safety and traffic management: An investigation of secondary crash causes
-
Karlaftis, M. G., Latoski, S., Richards, P., Nadine, J., & Sinha, K. C. (1999). ITS impacts on safety and traffic management: An investigation of secondary crash causes. Journal of Intelligent Transportation Systems, 5(1), 39-52.
-
(1999)
Journal of Intelligent Transportation Systems
, vol.5
, Issue.1
, pp. 39-52
-
-
Karlaftis, M.G.1
Latoski, S.2
Richards, P.3
Nadine, J.4
Sinha, K.C.5
-
5
-
-
13644279731
-
Recognition and tracking of spatial-temporal congested traffic patterns on freeways
-
DOI 10.1016/j.trc.2004.07.015, PII S0968090X04000270
-
Kerner, B., S., Rehborn, H., Aleksic, M., & Haug, A. (2004). Recognition and tracking of spatial-temporal congested traffic patterns on freeways. Transportation Research Part C: Emerging Technologies, 12(5), 369-400. (Pubitemid 40234075)
-
(2004)
Transportation Research Part C: Emerging Technologies
, vol.12
, Issue.5
, pp. 369-400
-
-
Kerner, B.S.1
Rehborn, H.2
Aleksic, M.3
Haug, A.4
-
6
-
-
76549135340
-
Are incident durations and secondary incident occurrence interdependent?
-
Khattak A., Wang, X., & Zhang H. (2009). Are incident durations and secondary incident occurrence interdependent? Transportation Research Record, 2099, 39-49.
-
(2009)
Transportation Research Record
, vol.2099
, pp. 39-49
-
-
Khattak, A.1
Wang, X.2
Zhang, H.3
-
7
-
-
84867189648
-
Primary and secondary incident management: Predicting durations in real time
-
April. Charlottesville, VA: Virginia Center for Transportation Innovation and Research
-
Khattak, A. J., Wang, X., Zhang, H., & Cetin M. (2011). Primary and secondary incident management: Predicting durations in real time. Report no. VCTIR 11-R11, April. Charlottesville, VA: Virginia Center for Transportation Innovation and Research.
-
(2011)
Report No. VCTIR 11-R11
-
-
Khattak, A.J.1
Wang, X.2
Zhang, H.3
Cetin, M.4
-
8
-
-
78951476986
-
Comparison of algorithms for systematic tracking of patterns of traffic congestion on freeways in Portland, Oregon
-
Li, H., & Bertini, R. L. (2010). Comparison of algorithms for systematic tracking of patterns of traffic congestion on freeways in Portland, Oregon. Transportation Research Record, 2178, 101-110.
-
(2010)
Transportation Research Record
, vol.2178
, pp. 101-110
-
-
Li, H.1
Bertini, R.L.2
-
11
-
-
2442489970
-
Secondary accident rates on Los Angeles freeways
-
DOI 10.1061/(ASCE)0733-947X(2004)130:3(280)
-
Moore, J. E., Giuliano, G., & Cho, S. (2004). Secondary accident rates on Los Angeles freeways. Journal of Transportation Engineering, 130(3), 280-285. (Pubitemid 38616051)
-
(2004)
Journal of Transportation Engineering
, vol.130
, Issue.3
, pp. 280-285
-
-
Moore II, J.E.1
Giuliano, G.2
Cho, S.3
-
12
-
-
84938656199
-
Detecting secondary accidents in freeways
-
September, Indianapolis, IN
-
Orfanou, F. P., Vlahogianni, E. I., & Karlaftis, M. G. (2011, September). Detecting secondary accidents in freeways. Proceedings of the 3rd International Conference on Road Safety and Simulation (RSS2011), Indianapolis, IN.
-
(2011)
Proceedings of the 3rd International Conference on Road Safety and Simulation (RSS2011)
-
-
Orfanou, F.P.1
Vlahogianni, E.I.2
Karlaftis, M.G.3
-
13
-
-
33744944043
-
Comparison of recent methods for inference of variable influence in neural networks
-
DOI 10.1016/j.neunet.2005.09.002, PII S0893608005002480
-
Papadokonstantakis, S., Lygeros, A., & Jacobsson, S. P. (2006). Comparison of recent methods for inference of variable influence in neural networks. Neural Networks, 19(4), 500-513. (Pubitemid 43850235)
-
(2006)
Neural Networks
, vol.19
, Issue.4
, pp. 500-513
-
-
Papadokonstantakis, S.1
Lygeros, A.2
Jacobsson, S.P.3
-
14
-
-
0031152707
-
Secondary crashes: An important component of roadway incident management
-
Raub, R. A. (1997). Secondary crashes: An important component ofroadway incident management. Transportation Quarterly, 51(3), 93-104. (Pubitemid 127663153)
-
(1997)
Transportation Quarterly
, vol.51
, Issue.3
, pp. 93-104
-
-
Raub, R.A.1
-
16
-
-
34848813136
-
Simulation and spatio-temporal disaggregation of multi-site rainfall data for urban drainage applications
-
DOI 10.1623/hysj.52.5.917
-
Segond, M.-L., Neokleous, N., Makropoulos, C., Onof, C., & Maksimovic, C. (2007). Simulation and spatio-temporal disaggregation of multi-site rainfall data for urban drainage applications. Hydrological Sciences Journal, 52(5), 917-935. (Pubitemid 47505646)
-
(2007)
Hydrological Sciences Journal
, vol.52
, Issue.5
, pp. 917-935
-
-
Segond, M.-L.1
Neokleous, N.2
Makropoulos, C.3
Onof, C.4
Maksimovic, C.5
-
17
-
-
0034774035
-
Spectral and cross-spectral analysis of urban traffic flows
-
IEEE, New York
-
Stathopoulos, A., & Karlaftis, M. G. (2001). Spectral and cross-spectral analysis of urban traffic flows. Proc., 2001 IEEE Intelligent Transportation Systems Conf., IEEE, New York, 821-826.
-
(2001)
Proc., 2001 IEEE Intelligent Transportation Systems Conf.
, pp. 821-826
-
-
Stathopoulos, A.1
Karlaftis, M.G.2
-
19
-
-
78449242555
-
Dynamic incident progression curve for classifying secondary traffic crashes
-
Sun, C., & Chilukuri, V. (2010). Dynamic incident progression curve for classifying secondary traffic crashes. Journal of Transportation Engineering, 136(12), 1153-1158.
-
(2010)
Journal of Transportation Engineering
, vol.136
, Issue.12
, pp. 1153-1158
-
-
Sun, C.1
Chilukuri, V.2
-
20
-
-
84855712710
-
Does information on weather affect the performance of short-term traffic forecasting models?
-
Tsirigotis, L., Vlahogianni, E. I., & Karlaftis, M. G. (2012). Does information on weather affect the performance of short-term traffic forecasting models? Journal of Intelligent Transportation Systems Research, 10(1), 1-10.
-
(2012)
Journal of Intelligent Transportation Systems Research
, vol.10
, Issue.1
, pp. 1-10
-
-
Tsirigotis, L.1
Vlahogianni, E.I.2
Karlaftis, M.G.3
-
21
-
-
0030297904
-
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
-
DOI 10.1016/S0895-4356(96)00002-9, PII S0895435696000029
-
Tu, J. V. (1996). Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. Journal of Clinical Epidemiology, 49(11), 1225-1231. (Pubitemid 26386228)
-
(1996)
Journal of Clinical Epidemiology
, vol.49
, Issue.11
, pp. 1225-1231
-
-
Tu, J.V.1
-
22
-
-
78951494289
-
Freeway operations, spatiotemporal incident characteristics and secondary crash occurrence
-
Vlahogianni, E. I., Karlaftis, M. G., Golias, J. C., & Halkias, B. (2010). Freeway operations, spatiotemporal incident characteristics and secondary crash occurrence. Transportation Research Record: Journal of the Transportation Research Board, 2178, 1-9.
-
(2010)
Transportation Research Record: Journal of the Transportation Research Board
, vol.2178
, pp. 1-9
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
Halkias, B.4
-
23
-
-
23844513726
-
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
-
DOI 10.1016/j.trc.2005.04.007, PII S0968090X05000276
-
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2005). Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach. Transportation Research Part C: Emerging Technologies, 13(3), 211-234. (Pubitemid 41179185)
-
(2005)
Transportation Research Part C: Emerging Technologies
, vol.13
, Issue.3
, pp. 211-234
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
-
24
-
-
33750338259
-
Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume
-
DOI 10.1016/j.trc.2006.09.002, PII S0968090X06000696
-
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2006). Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume. Transportation Research Part C: Emerging Technologies, 14(5), 351-367. (Pubitemid 44615599)
-
(2006)
Transportation Research Part C: Emerging Technologies
, vol.14
, Issue.5
, pp. 351-367
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
-
25
-
-
41849113443
-
Pattern-based short-term urban traffic predictor
-
1706772, Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
-
Vlahogianni, E. I., Karlaftis, M. G., Golias, J. C., & Kourbelis, N. D. (2006). Pattern-based short-term urban traffic predictor. Intelligent Transportation Systems Conference, ITSC'06, IEEE, 389-393. (Pubitemid 351492199)
-
(2006)
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
, pp. 389-393
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
Kourbelis, N.D.4
-
26
-
-
34249317652
-
Temporal evolution of short-term urban traffic flow: A non-linear dynamics approach
-
Vlahogianni, E. I., Karlaftis, M. G. & Golias, J. C. (2008). Temporal evolution of short-term urban traffic flow: A non-linear dynamics approach. Computer-Aided Civil and Infrastructure Engineering, 22(5), 317-325.
-
(2008)
Computer-aided Civil and Infrastructure Engineering
, vol.22
, Issue.5
, pp. 317-325
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
-
27
-
-
85069304767
-
-
2nd ed. Boca Raton, FL: Chapman & Hall/CRC Press
-
Washington, S. P., Karlaftis, M. G., & Mannering, F. L. (2010). Statistical and econometric methods for transportation data analysis, 2nd ed. Boca Raton, FL: Chapman & Hall/CRC Press.
-
(2010)
Statistical and Econometric Methods for Transportation Data Analysis
-
-
Washington, S.P.1
Karlaftis, M.G.2
Mannering, F.L.3
-
28
-
-
0031246162
-
A hierarchical analysis for rock engineering using artificial neural networks
-
Yang, Y., and Zhang, Q. (1997). A hierarchical analysis for rock engineering using artificial neural networks. Rock Mechanics and Rock Engineering, 30(4), 207-222.
-
(1997)
Rock Mechanics and Rock Engineering
, vol.30
, Issue.4
, pp. 207-222
-
-
Yang, Y.1
Zhang, A.Q.2
-
29
-
-
76249127081
-
Identifying secondary crashes and their contributing factors
-
Zhan, C., Gan, A., & Hadi, M. (2009). Identifying secondary crashes and their contributing factors. Transportation Research Record: Journal of the Transportation Research Board, 2102, 68-75.
-
(2009)
Transportation Research Record: Journal of the Transportation Research Board
, vol.2102
, pp. 68-75
-
-
Zhan, C.1
Gan, A.2
Hadi, M.3
-
30
-
-
76249090748
-
-
CD-ROM. Washington, DC: Transportation Research Board of the National Academies
-
Zhan, C., Shen, L. Hadi, M. & Gan, A. (2008). Understanding the characteristic of secondary crashes on freeways. CD-ROM. Washington, DC: Transportation Research Board of the National Academies.
-
(2008)
Understanding the Characteristic of Secondary Crashes on Freeways
-
-
Zhan, C.1
Shen, L.2
Hadi, M.3
Gan, A.4
-
31
-
-
77957944639
-
What is the role of multiple secondary incidents in traffic operations?
-
Zhang, H., & Khattak. A. (2001). What is the role of multiple secondary incidents in traffic operations? Journal of Transportation Engineering, 136(11), 986-997.
-
(2001)
Journal of Transportation Engineering
, vol.136
, Issue.11
, pp. 986-997
-
-
Zhang, H.1
Khattak, A.2
-
32
-
-
79956103123
-
Evaluation of neural network variable influence measures for process control
-
Zobel, C. W., & Cook, D. F. (2011). Evaluation of neural network variable influence measures for process control. Journal of Engineering Applications of Artificial Intelligence, 24(5), 803-812.
-
(2011)
Journal of Engineering Applications of Artificial Intelligence
, vol.24
, Issue.5
, pp. 803-812
-
-
Zobel, C.W.1
Cook, D.F.2
|