Modeling crash frequency and severity with spatiotemporal dependence
暂无分享,去创建一个
[1] Andrew Daly,et al. Estimating choice models containing attraction variables , 1982 .
[2] P. W. Wilson,et al. Analyzing Frequencies of Several Types of Events: A Mixed Multinomial-Poisson Approach , 1990 .
[3] Chandra R. Bhat,et al. Disaggregate Attraction-End Choice Modeling: Formulation and Empirical Analysis , 1998 .
[4] Bhagwant Persaud,et al. Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure , 2000 .
[5] Luc Anselin,et al. Under the hood , 2002 .
[6] C. Bhat. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .
[7] K. Train. Discrete Choice Methods with Simulation , 2003 .
[8] Shaw-Pin Miaou,et al. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence. , 2005, Accident; analysis and prevention.
[9] Karthik K. Srinivasan,et al. A Dynamic Kernel Logit Model for the Analysis of Longitudinal Discrete Choice Data: Properties and Computational Assessment , 2005, Transp. Sci..
[10] Mohamed Abdel-Aty,et al. Temporal and spatial analyses of rear-end crashes at signalized intersections. , 2006, Accident; analysis and prevention.
[11] P. Jovanis,et al. Spatial analysis of fatal and injury crashes in Pennsylvania. , 2006, Accident; analysis and prevention.
[12] K. Kockelman,et al. Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity , 2006 .
[13] Eun Sug Park,et al. Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity , 2007 .
[14] Mohammed A Quddus,et al. Time series count data models: an empirical application to traffic accidents. , 2008, Accident; analysis and prevention.
[15] Shlomo Bekhor,et al. GEV-based destination choice models that account for unobserved similarities among alternatives , 2008 .
[16] M. Quddus. Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. , 2008, Accident; analysis and prevention.
[17] Paul Damien,et al. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. , 2008, Accident; analysis and prevention.
[18] Paul P Jovanis,et al. Bayesian Multivariate Poisson Lognormal Models for Crash Severity Modeling and Site Ranking , 2009 .
[19] K. El-Basyouny,et al. Collision prediction models using multivariate Poisson-lognormal regression. , 2009, Accident; analysis and prevention.
[20] A. Shalaby,et al. Development of planning level transportation safety tools using Geographically Weighted Poisson Regression. , 2010, Accident; analysis and prevention.
[21] Xuesong Wang,et al. Modeling signalized intersection safety with corridor-level spatial correlations. , 2010, Accident; analysis and prevention.
[22] Fred L. Mannering,et al. The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives , 2010 .
[23] Chandra R. Bhat,et al. A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections , 2011 .
[24] Dominique Lord,et al. The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. , 2011, Accident; analysis and prevention.
[25] Marcus P. Enoch,et al. Spatial models in transport: a review and assessment of methodological issues , 2012 .
[26] Gudmundur F. Ulfarsson,et al. Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type. , 2013, Accident; analysis and prevention.
[27] Jonathan Aguero-Valverde,et al. Multivariate spatial models of excess crash frequency at area level: case of Costa Rica. , 2013, Accident; analysis and prevention.
[28] P. Gruenewald,et al. Spatial panel analyses of alcohol outlets and motor vehicle crashes in California: 1999-2008. , 2013, Accident; analysis and prevention.
[29] Yu-Chiun Chiou,et al. Modeling crash frequency and severity using multinomial-generalized Poisson model with error components. , 2013, Accident; analysis and prevention.
[30] Kara M Kockelman,et al. A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods. , 2013, Accident; analysis and prevention.
[31] Chandra R. Bhat,et al. On Accommodating Spatial Dependence in Bicycle and Pedestrian Injury Counts by Severity Level , 2013 .
[32] Keechoo Choi,et al. Analytic Methods in Accident Research , 2014 .
[33] Qiang Zeng,et al. Bayesian spatial joint modeling of traffic crashes on an urban road network. , 2014, Accident; analysis and prevention.
[34] Yu-Chiun Chiou,et al. Incorporating spatial dependence in simultaneously modeling crash frequency and severity , 2014 .
[35] Chandra R. Bhat,et al. Analytic methods in accident research: Methodological frontier and future directions , 2014 .
[36] Ghulam H Bham,et al. Crash Frequency Modeling using Negative Binomial Models: An Application of Generalized Estimating Equation to Longitudinal Data , 2014 .
[37] Felix Famoye,et al. On the Generalized Poisson Regression Model with an Application to Accident Data , 2004, Journal of Data Science.