References
- Bennett, D. S. 1999. “Parametric Models, Duration Dependence, and Time-Varying Data Revisited.” American Journal of Political Science 43 (1): 256–270. doi: 10.2307/2991793
- Breslow, N. E. 1975. “Analysis of Survival Data under the Proportional Hazards Model.” International Statistical Review/Revue Internationale de Statistique 43 (1): 45–57.
- Chung, Y. 2010. “Development of an Accident Duration Prediction Model on the Korean Freeway Systems.” Accident Analysis & Prevention 42: 282–289. doi: 10.1016/j.aap.2009.08.005
- Chung, Y., H. Kim, and M. Park. 2012. “Quantifying Non-Recurrent Traffic Congestion Caused by Freeway Work Zones Using Archived Work Zone and ITS Traffic Data.” Transportmetrica 8: 307–320. doi: 10.1080/18128602.2010.522609
- Chung, Y., and B.-J. Yoon. 2012. “Analytical Method to Estimate Accident Duration Using Archived Speed Profile and Its Statistical Analysis.” KSCE Journal of Civil Engineering 16: 1064–1070. doi: 10.1007/s12205-012-1632-3
- Eluru, N., M. Bagheri, L. F. Miranda-Moreno, and L. Fu. 2012. “A Latent Class Modeling Approach for Identifying Vehicle Driver Injury Severity Factors at Highway-Railway Crossings.” Accident Analysis & Prevention 47: 119–127. doi: 10.1016/j.aap.2012.01.027
- Farcomeni, A., and A. Nardi. 2010. “A Two-Component Weibull Mixture to Model Early and Late Mortality in a Bayesian Framework.” Computational Statistics & Data Analysis 54: 416–428. doi: 10.1016/j.csda.2009.09.007
- Farewell, V. T. 1982. “The Use of Mixture Models for the Analysis of Survival Data with Long-Term Survivors.” Biometrics 38 (4): 1041–1046. doi: 10.2307/2529885
- Frühwirth-Schnatter, S. 2006. Finite Mixture and Markov Switching Models. New York: Springer Science & Business Media.
- Garib, A., A. Radwan, and H. Al-Deek. 1997. “Estimating Magnitude and Duration of Incident Delays.” Journal of Transportation Engineering 123: 459–466. doi: 10.1061/(ASCE)0733-947X(1997)123:6(459)
- Ghosh, I., P. T. Savolainen, and T. J. Gates. 2014. “Examination of Factors Affecting Freeway Incident Clearance Times: A Comparison of the Generalized F Model and Several Alternative Nested Models.” Journal of Advanced Transportation 48: 471–485. doi: 10.1002/atr.1189
- Giuliano, G. 1989. “Incident Characteristics, Frequency, and Duration on a High Volume Urban Freeway.” Transportation Research Part A: General 23: 387–396. doi: 10.1016/0191-2607(89)90086-1
- Golob, T. F., W. W. Recker, and J. D. Leonard. 1987. “An Analysis of the Severity and Incident Duration of Truck-Involved Freeway Accidents.” Accident Analysis & Prevention 19: 375–395. doi: 10.1016/0001-4575(87)90023-6
- Hensher, D. A., and F. L. Mannering. 1994. “Hazard-Based Duration Models and Their Application to Transport Analysis.” Transport Reviews 14: 63–82. doi: 10.1080/01441649408716866
- Hou, L., Y. Lao, Y. Wang, Z. Zhang, Y. Zhang, and Z. Li. 2014. “Time-Varying Effects of Influential Factors on Incident Clearance Time Using a Non-Proportional Hazard-Based Model.” Transportation Research Part A: Policy and Practice 63: 12–24.
- Jones, B., L. Janssen, and F. Mannering. 1991. “Analysis of the Frequency and Duration of Freeway Accidents in Seattle.” Accident Analysis & Prevention 23: 239–255. doi: 10.1016/0001-4575(91)90003-N
- Khattak, A. J., J. L. Schofer, and M.-H. Wang. 1995. “A Simple Time Sequential Procedure for Predicting Freeway Incident Duration.” Journal of Intelligent Transportation Systems 2: 113–138.
- Kim, H. J., and H.-K. Choi. 2001. “A Comparative Analysis of Incident Service Time on Urban Freeways.” IATSS Research 25 (1): 62–72. doi: 10.1016/S0386-1112(14)60007-8
- Kim, W., and G.-L. Chang. 2012. “Development of a Hybrid Prediction Model for Freeway Incident Duration: A Case Study in Maryland.” International Journal of Intelligent Transportation Systems Research 10: 22–33. doi: 10.1007/s13177-011-0039-8
- Lee, J.-T., and J. Fazio. 2005. “Influential Factors in Freeway Crash Response and Clearance Times by Emergency Management Services in Peak Periods.” Traffic Injury Prevention 6: 331–339. doi: 10.1080/15389580500255773
- Lee, Y., and C.-H. Wei. 2010. “A Computerized Feature Selection Method Using Genetic Algorithms to Forecast Freeway Accident Duration Times.” Computer-Aided Civil and Infrastructure Engineering 25: 132–148. doi: 10.1111/j.1467-8667.2009.00626.x
- Li, J., C.-J. Lan, and X. Gu. 2006. “Estimation of Incident Delay and Its Uncertainty on Freeway Networks.” Transportation Research Record: Journal of the Transportation Research Board 1959: 37–45. doi: 10.3141/1959-05
- Li, R., F. C. Pereira, and M. E. Ben-Akiva. 2015. “Competing Risks Mixture Model for Traffic Incident Duration Prediction.” Accident Analysis & Prevention 75: 192–201. doi: 10.1016/j.aap.2014.11.023
- McLachlan, G., and D. McGiffin. 1993. “On the Role of Finite Mixture Models in Survival Analysis.” Statistical Methods in Medical Research 3: 211–226. doi: 10.1177/096228029400300302
- McLachlan, G., and D. Peel. 2004. Finite Mixture Models. New York: John Wiley & Sons.
- Nam, D., and F. Mannering. 2000. “An Exploratory Hazard-Based Analysis of Highway Incident Duration.” Transportation Research Part A: Policy and Practice 34: 85–102.
- Ng, M., A. Khattak, and W. K. Talley. 2013. “Modeling the Time to the Next Primary and Secondary Incident: A Semi-Markov Stochastic Process Approach.” Transportation Research Part B: Methodological 58: 44–57. doi: 10.1016/j.trb.2013.09.013
- Park, B.-J., and D. Lord. 2009. “Application of Finite Mixture Models for Vehicle Crash Data Analysis.” Accident Analysis & Prevention 41: 683–691. doi: 10.1016/j.aap.2009.03.007
- Sheu, J.-B., and C. Pan. 2015. “Relief Supply Collaboration for Emergency Logistics Responses to Large-scale Disasters.” Transportmetrica A: Transport Science 11: 210–242. doi: 10.1080/23249935.2014.951886
- Smith, K., and B. Smith. 2001. Forecasting the Clearance Time of Freeway Accidents. Charlottesville: Center for Transportation Studies, University of Virginia.
- Stathopoulos, A., and M. G. Karlaftis. 2002. “Modeling Duration of Urban Traffic Congestion.” Journal of Transportation Engineering 128: 587–590. doi: 10.1061/(ASCE)0733-947X(2002)128:6(587)
- Tavassoli Hojati, A., L. Ferreira, S. Washington, and P. Charles. 2013. “Hazard Based Models for Freeway Traffic Incident Duration.” Accident Analysis & Prevention 52: 171–181. doi: 10.1016/j.aap.2012.12.037
- Vlahogianni, E. I., and M. G. Karlaftis. 2013. “Fuzzy-Entropy Neural Network Freeway Incident Duration Modeling with Single and Competing Uncertainties.” Computer-Aided Civil and Infrastructure Engineering 28: 420–433. doi: 10.1111/mice.12010
- Washington, S. P., M. G. Karlaftis, and F. L. Mannering. 2011. Statistical and Econometric Methods for Transportation Data Analysis. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC.
- Wei, C.-H., and Y. Lee. 2007. “Sequential Forecast of Incident Duration Using Artificial Neural Network Models.” Accident Analysis & Prevention 39: 944–954. doi: 10.1016/j.aap.2006.12.017
- Wei, D., H. Liu, and Z. Tian. 2015. “Vehicle Delay Estimation at Unsignalised Pedestrian Crosswalks with Probabilistic Yielding Behaviour.” Transportmetrica A: Transport Science 11: 103–118. doi: 10.1080/23249935.2014.928758
- Weng, J., W. Qiao, X. Qu, and X. Yan. 2015. “Cluster-Based Lognormal Distribution Model for Accident Duration.” Transportmetrica A: Transport Science 11: 345–363. doi: 10.1080/23249935.2014.994687
- Wu, W.-W., S.-Y. Chen, and C.-J. Zheng. 2011. “Traffic Incident Duration Prediction Based on Support Vector Regression.” Proceedings of the ICCTP 2011: 2412–2421.
- Xiong, Y., and F. L. Mannering. 2013. “The Heterogeneous Effects of Guardian Supervision on Adolescent Driver-Injury Severities: A Finite-Mixture Random-Parameters Approach.” Transportation Research Part B: Methodological 49: 39–54. doi: 10.1016/j.trb.2013.01.002
- Yu, B., and Y. Peng. 2008. “Mixture Cure Models for Multivariate Survival Data.” Computational Statistics & Data Analysis 52: 1524–1532. doi: 10.1016/j.csda.2007.04.018
- Zou, Y., Y. Zhang, and D. Lord. 2013. “Application of Finite Mixture of Negative Binomial Regression Models with Varying Weight Parameters for Vehicle Crash Data Analysis.” Accident Analysis & Prevention 50: 1042–1051. doi: 10.1016/j.aap.2012.08.004
- Zou, Y., Y. Zhang, and D. Lord. 2014a. “Analyzing Different Functional Forms of the Varying Weight Parameter for Finite Mixture of Negative Binomial Regression Models.” Analytic Methods in Accident Research 1: 39–52. doi: 10.1016/j.amar.2013.11.001
- Zou, Y., Y. Zhang, and X. Zhu. 2014b. “Constructing a Bivariate Distribution for Freeway Speed and Headway Data.” Transportmetrica A: Transport Science 10: 255–272. doi: 10.1080/18128602.2012.745099