Research Topics
| Dominique LordSummaryAffiliation: Texas A and M University Country: USA Publications
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Detail Information
Publications
Estimating the safety performance of urban road transportation networksDominique Lord
Center for Transportation Safety, Texas Transportation Institute, Texas A and M University, 3135 TAMU, College Station, TX 77843 3135, USA
Accid Anal Prev 36:609-20. 2004..The crash predictions are also sensitive to how the digital network is coded, and it is shown how appropriate adjustments can be made...
The negative binomial-Lindley distribution as a tool for analyzing crash data characterized by a large amount of zerosDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, USA
Accid Anal Prev 43:1738-42. 2011..To examine this distribution, simulated and observed data were used. The results show that the NB-L can provide a better statistical fit than the traditional NB for datasets that contain a large amount of zeros...- Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimatesDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, USA
Accid Anal Prev 40:1441-57. 2008.... - Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashesDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, USA
Accid Anal Prev 40:1123-34. 2008.... - Methodology for estimating the variance and confidence intervals for the estimate of the product of baseline models and AMFsDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, USA
Accid Anal Prev 40:1013-7. 2008..The second part presents the method for estimating the variance of baseline models. Several examples are presented to illustrate the application of the methodology... - A strategy to reduce older driver injuries at intersections using more accommodating roundabout design practicesDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, TAMU 3136 College Station, TX 77843 3136, United States
Accid Anal Prev 39:427-32. 2007..Recommendations for improved practice related to advance warning signs, guide signs, yield treatments, directional signs, and exit treatments are presented... - Further notes on the application of zero-inflated models in highway safetyDominique Lord
Zachry Department of Civil Engineering, TAMU3136, Texas A and M University, College Station, TX 77843 3136, USA
Accid Anal Prev 39:53-7. 2007..It then presents two critical and relevant issues: the maximizing statistical fit fallacy and logic problems with the ZI model in highway safety modeling. Finally, we provide brief conclusions... - Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameterDominique Lord
Zachry Department of Civil Engineering, TAMU 3136, Texas A and M University, College Station, 77843 3136, USA
Accid Anal Prev 38:751-66. 2006..The paper ends with recommendations about minimizing the likelihood of producing Poisson-gamma models with an unreliable dispersion parameter for modeling motor vehicle crashes... - Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theoryDominique Lord
Center for Transportation Safety, Texas Transportation Institute, Texas A and M University System, 3135 TAMU, College Station, TX 77843 3135, USA
Accid Anal Prev 37:35-46. 2005.... - Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segmentsDominique Lord
Department of Civil Engineering, Center for Transportation Safety, Texas Transportation Institute, Texas A and M University System, 3135 TAMU, College Station, TX, 77843 3135, USA
Accid Anal Prev 37:185-99. 2005..Finally, separate predictive models for single- and multi-vehicle crashes should be developed rather than one common model for all crash types... - Predicting motor vehicle crashes using Support Vector Machine modelsXiugang Li
Zachry Department of Civil Engineering, Texas A and M University, College Station, TX 77843 3136, USA
Accid Anal Prev 40:1611-8. 2008..Given this characteristic and the fact that SVM models are faster to implement than BPNN models, it is suggested to use these models if the sole purpose of the study consists of predicting motor vehicle crashes... - Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma modelsSrinivas Reddy Geedipally
Texas Transportation Institute, Texas A and M University, College Station, TX 77843 3135, USA
Accid Anal Prev 42:1273-82. 2010.... - The negative binomial-Lindley generalized linear model: characteristics and application using crash dataSrinivas Reddy Geedipally
Texas Transportation Institute, Texas A and M University, 3135 TAMU, College Station, TX 77843 3135, United States
Accid Anal Prev 45:258-65. 2012.... - Bias properties of Bayesian statistics in finite mixture of negative binomial regression models in crash data analysisByung Jung Park
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, United States
Accid Anal Prev 42:741-9. 2010..Based on simulation results, guidelines about the choice of priors and the summary statistics to use are presented for different sample sizes and sample-mean values... - Application of finite mixture models for vehicle crash data analysisByung Jung Park
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, United States
Accid Anal Prev 41:683-91. 2009..It is therefore recommended that transportation safety analysts use this type of model before the traditional NB model, especially when the data are suspected to belong to different groups... - Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysisYuanchang Xie
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, United States
Accid Anal Prev 39:922-33. 2007.... - Examining the effects of site selection criteria for evaluating the effectiveness of traffic safety countermeasuresDominique Lord
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, USA
Accid Anal Prev 47:52-63. 2012..To overcome this problem, the method proposed in this study can be used to adjust the Naïve estimator of the index of safety effectiveness, even when the mean and dispersion parameter are not properly estimated... - Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysisYajie Zou
Zachry Department of Civil Engineering, Texas A and M University, 3136 TAMU, College Station, TX 77843 3136, United States Electronic address
Accid Anal Prev 50:1042-51. 2013..Therefore, it is concluded that in many cases the GFMNB-2 models may be a better alternative to the FMNB-2 models for explaining the heterogeneity and the nature of the dispersion in the crash data... - Feasibility of landfill gas as a liquefied natural gas fuel source for refuse trucksJosias Zietsman
Center for Air Quality Studies, Texas Transportation Institute, The Texas A and M University System, College Station, TX 77843, USA
J Air Waste Manag Assoc 58:613-9. 2008..The analysis showed that converting LFG to LNG to fuel refuse trucks proved to be the most feasible option and that the methodology can be applied for any landfill that considers this option...