-
1
-
-
84963984971
-
-
Texas A&M Transportation Institute, College Station
-
Schrank, D., B. Eisele, T. Lomax, and J. Bak. 2015 Urban Mobility Scorecard. Texas A&M Transportation Institute, College Station, 2015.
-
(2015)
2015 Urban Mobility Scorecard
-
-
Schrank, D.1
Eisele, B.2
Lomax, T.3
Bak, J.4
-
2
-
-
84875114394
-
-
FHWA, U.S. Department of Transportation
-
Emergency Transportation Operations. FHWA, U.S. Department of Transportation, n.d. http://ops.fhwa.dot.gov/eto_tim_pse/docs/incident _mgmt_perf/section3.htm.
-
Emergency Transportation Operations
-
-
-
3
-
-
84870496617
-
Analysis of Large-Scale Incidents on Urban Freeways
-
Zhang, H., Y. Zhang, and A. Khattak. Analysis of Large-Scale Incidents on Urban Freeways. Transportation Research Record: Journal of the Transportation Research Board, No. 2278, 2012, pp. 74–84. https://dx.doi.org/10.3141/2278-09.
-
(2012)
Transportation Research Record: Journal of the Transportation Research Board, No. 2278
, pp. 74-84
-
-
Zhang, H.1
Zhang, Y.2
Khattak, A.3
-
5
-
-
0001519535
-
New Model for Predicting Freeway Incidents and Incident Delays
-
Sullivan, E. C. New Model for Predicting Freeway Incidents and Incident Delays. Journal of Transportation Engineering, ASCE, Vol. 123, No. 4, 1997, pp. 267–275. https://doi.org/10.1061/(ASCE)0733-947X (1997)123:4(267).
-
(1997)
Journal of Transportation Engineering, ASCE
, vol.123
, Issue.4
, pp. 267-275
-
-
Sullivan, E.C.1
-
6
-
-
0033622790
-
An Exploratory Hazard-Based Analysis of Highway Incident Duration
-
Nam, D., and F. Mannering. An Exploratory Hazard-Based Analysis of Highway Incident Duration. Transportation Research Part A: Policy and Practice, Vol. 34, No. 2, 2000, pp. 85–102. https://doi.org/10.1016/S0965-8564(98)00065-2.
-
(2000)
Transportation Research Part A: Policy and Practice
, vol.34
, Issue.2
, pp. 85-102
-
-
Nam, D.1
Mannering, F.2
-
7
-
-
0026209335
-
Analysis of the Frequency and Duration of Freeway Accidents in Seattle
-
Jones, B., L. Janssen, and F. Mannering. Analysis of the Frequency and Duration of Freeway Accidents in Seattle. Accident Analysis and Prevention, Vol. 23, No. 4, 1991, pp. 239–255. https://doi.org/10.1016/0001-4575(91)90003-N.
-
(1991)
Accident Analysis and Prevention
, vol.23
, Issue.4
, pp. 239-255
-
-
Jones, B.1
Janssen, L.2
Mannering, F.3
-
8
-
-
84894077950
-
Impact of Abandoned and Disabled Vehicles on Freeway Incident Duration
-
Chimba, D., B. Kutela, G. Ogletree, F. Horne, and M. Tugwell. Impact of Abandoned and Disabled Vehicles on Freeway Incident Duration. Journal of Transportation Engineering, ASCE, Vol. 140, No. 3, 2014, p. 04013013. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000635.
-
(2014)
Journal of Transportation Engineering, ASCE
, vol.140
, Issue.3
, pp. 04013013
-
-
Chimba, D.1
Kutela, B.2
Ogletree, G.3
Horne, F.4
Tugwell, M.5
-
9
-
-
0042637847
-
A Simple Time Sequential Procedure for Predicting Freeway Incident Duration
-
Khattak, A. J., J. L. Schofer, and M.-H. Wang. A Simple Time Sequential Procedure for Predicting Freeway Incident Duration. Journal of Intelligent Transport Systems, Vol. 2, No. 2, 1995, pp. 113–138.
-
(1995)
Journal of Intelligent Transport Systems
, vol.2
, Issue.2
, pp. 113-138
-
-
Khattak, A.J.1
Schofer, J.L.2
Wang, M.-H.3
-
10
-
-
85015386169
-
Modeling Traffic Incident Duration Using Quantile Regression
-
Khattak, A. J., J. Liu, B. Wali, X. Li, and M. Ng. Modeling Traffic Incident Duration Using Quantile Regression. Transportation Research Record: Journal of the Transportation Research Board, No. 2554, 2016, pp. 139–148. http://dx.doi.org/10.3141/2554-15.
-
(2016)
Transportation Research Record: Journal of the Transportation Research Board
, vol.2554
, pp. 139-148
-
-
Khattak, A.J.1
Liu, J.2
Wali, B.3
Li, X.4
Ng, M.5
-
11
-
-
84872375788
-
Hazard-Based Models for Freeway Traffic Incident Duration
-
Hojati, A. T., L. Ferreira, S. Washington, and P. Charles. Hazard-Based Models for Freeway Traffic Incident Duration. Accident Analysis and Prevention, Vol. 52, 2013, pp. 171–181. https://doi.org/10.1016/j.aap.2012.12.037.
-
(2013)
Accident Analysis and Prevention
, vol.52
, pp. 171-181
-
-
Hojati, A.T.1
Ferreira, L.2
Washington, S.3
Charles, P.4
-
12
-
-
33644924880
-
Estimation of Incident Clearance Times Using Bayesian Networks Approach
-
Ozbay, K., and N. Noyan. Estimation of Incident Clearance Times Using Bayesian Networks Approach. Accident Analysis and Prevention, Vol. 38, No. 3, 2006, pp. 542–555. https://doi.org/10.1016/j.aap.2005.11.012.
-
(2006)
Accident Analysis and Prevention
, vol.38
, Issue.3
, pp. 542-555
-
-
Ozbay, K.1
Noyan, N.2
-
13
-
-
84898352352
-
A Naive Bayesian Classifier for Incident Duration Prediction
-
Washington, D.C
-
Boyles, S., D. Fajardo, and S. T. Waller. A Naive Bayesian Classifier for Incident Duration Prediction. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
-
(2007)
Presented at 86Th Annual Meeting of the Transportation Research Board
-
-
Boyles, S.1
Fajardo, D.2
Waller, S.T.3
-
14
-
-
80052362041
-
Naive Bayesian Classifier for Incident Duration Prediction
-
Washington, D.C
-
Stephen, B., F. David, and W. Travis. Naive Bayesian Classifier for Incident Duration Prediction. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
-
(2007)
Presented at 86Th Annual Meeting of the Transportation Research Board
-
-
Stephen, B.1
David, F.2
Travis, W.3
-
15
-
-
34548504071
-
Sequential Forecast of Incident Duration Using Artificial Neural Network Models
-
Wei, C.-H., and Y. Lee. Sequential Forecast of Incident Duration Using Artificial Neural Network Models. Accident Analysis and Prevention, Vol. 39, No. 5, 2007, pp. 944–954. https://doi.org/10.1016/j.aap.2006.12.017.
-
(2007)
Accident Analysis and Prevention
, vol.39
, Issue.5
, pp. 944-954
-
-
Wei, C.-H.1
Lee, Y.2
-
16
-
-
84878792060
-
Fuzzy-Entropy Neural Network Freeway Incident Duration Modeling with Single and Competing Uncertainties
-
Vlahogianni, E. I., and M. G. Karlaftis. Fuzzy-Entropy Neural Network Freeway Incident Duration Modeling with Single and Competing Uncertainties. Computer-Aided Civil and Infrastructure Engineering, Vol. 28, No. 6, 2013, pp. 420–433. https://doi.org/10.1111/mice.12010.
-
(2013)
Computer-Aided Civil and Infrastructure Engineering
, vol.28
, Issue.6
, pp. 420-433
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
-
17
-
-
84887588622
-
Text Analysis in Incident Duration Prediction
-
Pereira, F. C., F. Rodrigues, and M. Ben-Akiva. Text Analysis in Incident Duration Prediction. Transportation Research Part C: Emerging Technologies, Vol. 37, 2013, pp. 177–192. https://doi.org/10.1016/j.trc.2013.10.002.
-
(2013)
Transportation Research Part C: Emerging Technologies
, vol.37
, pp. 177-192
-
-
Pereira, F.C.1
Rodrigues, F.2
Ben-Akiva, M.3
-
18
-
-
84925456603
-
Competing Risk Mixture Model and Text Analysis for Sequential Incident Duration Prediction
-
Li, R., F. C. Pereira, and M. E. Ben-Akiva. Competing Risk Mixture Model and Text Analysis for Sequential Incident Duration Prediction. Transportation Research Part C: Emerging Technologies, Vol. 54, 2015, pp. 74–85. https://doi.org/10.1016/j.trc.2015.03.009.
-
(2015)
Transportation Research Part C: Emerging Technologies
, vol.54
, pp. 74-85
-
-
Li, R.1
Pereira, F.C.2
Ben-Akiva, M.E.3
-
19
-
-
84953426285
-
Application of Finite Mixture Models for Analysing Freeway Incident Clearance Time
-
Zou, Y., K. Henrickson, D. Lord, Y. Wang, and K. Xu. Application of Finite Mixture Models for Analysing Freeway Incident Clearance Time. Transportmetrica A: Transportation Science, Vol. 12, No. 2, 2016, pp. 99–115.
-
(2016)
Transportmetrica A: Transportation Science
, vol.12
, Issue.2
, pp. 99-115
-
-
Zou, Y.1
Henrickson, K.2
Lord, D.3
Wang, Y.4
Xu, K.5
-
21
-
-
84903598961
-
Modelling Total Duration of Traffic Incidents Including Incident Detection and Recovery Time
-
Hojati, A. T., L. Ferreira, S. Washington, P. Charles, and A. Shobeirinejad. Modelling Total Duration of Traffic Incidents Including Incident Detection and Recovery Time. Accident Analysis and Prevention, Vol. 71, 2014, pp. 296–305. https://doi.org/10.1016/j.aap.2014.06.006.
-
(2014)
Accident Analysis and Prevention
, vol.71
, pp. 296-305
-
-
Hojati, A.T.1
Ferreira, L.2
Washington, S.3
Charles, P.4
Shobeirinejad, A.5
-
22
-
-
85057987745
-
Can Data Generated by Connected Vehicles Enhance Safety? Proactive Approach to Intersection Safety Management
-
Washington, D.C
-
Kamrani, M., A. J. Khattak, and B. Wali. Can Data Generated by Connected Vehicles Enhance Safety? Proactive Approach to Intersection Safety Management. Presented at 96th Annual Meeting of the Transportation Research Board, Washington, D.C., 2017.
-
(2017)
Presented at 96Th Annual Meeting of the Transportation Research Board
-
-
Kamrani, M.1
Khattak, A.J.2
Wali, B.3
-
24
-
-
85069304767
-
-
CRC Press, Boca Raton, Fla
-
Washington, S. P., M. G. Karlaftis, and F. Mannering. Statistical and Econometric Methods for Transportation Data Analysis. CRC Press, Boca Raton, Fla., 2010.
-
(2010)
Statistical and Econometric Methods for Transportation Data Analysis
-
-
Washington, S.P.1
Karlaftis, M.G.2
Mannering, F.3
-
25
-
-
85019976240
-
Effectiveness of Enforcement Level of Speed Limit and Drink Driving Laws and Associated Factors: Exploratory Empirical Analysis Using a Bivariate Ordered Probit Model
-
Wali, B., A. Ahmed, S. Iqbal, and A. Hussain. Effectiveness of Enforcement Level of Speed Limit and Drink Driving Laws and Associated Factors: Exploratory Empirical Analysis Using a Bivariate Ordered Probit Model. Journal of Traffic and Transportation Engineering (En glish edition), May 2017. https://doi.org/10.1016/j.jtte.2017.04.001.
-
(2017)
Journal of Traffic and Transportation Engineering
-
-
Wali, B.1
Ahmed, A.2
Iqbal, S.3
Hussain, A.4
|