Estimating Pedestrian Crossing Volumes and Crashes at Midblock Locations von Reddy Geedipally, Srinivas

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A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements von Shirazi, Mohammadali, Reddy Geedipally, Srinivas, Lord, Dominique

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Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes von Lord, Dominique, Guikema, Seth D., Geedipally, Srinivas Reddy

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A caution about using deviance information criterion while modeling traffic crashes von Geedipally, Srinivas Reddy, Lord, Dominique, Dhavala, Soma Sekhar

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The Poisson–Weibull generalized linear model for analyzing motor vehicle crash data von Cheng, Lingzi, Geedipally, Srinivas Reddy, Lord, Dominique

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Evaluating the double Poisson generalized linear model von Zou, Yaotian, Geedipally, Srinivas Reddy, Lord, Dominique

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Highway Safety Analytics and Modeling von Lord, Dominique, Qin, Xiao, Geedipally, Srinivas R

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Effects of Varying Dispersion Parameter of Poisson–Gamma Models on Estimation of Confidence Intervals of Crash Prediction Models von Geedipally, Srinivas Reddy, Lord, Dominique

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Analyzing Different Parameterizations of the Varying Dispersion Parameter as a Function of Segment Length von Geedipally, Srinivas Reddy, Lord, Dominique, Park, Byung-Jung

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A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over... von Shirazi, Mohammadali, Dhavala, Soma Sekhar, Lord, Dominique, Geedipally, Srinivas Reddy

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Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual von Shirazi, Mohammadali, Lord, Dominique, Geedipally, Srinivas Reddy

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A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data von Shirazi, Mohammadali, Lord, Dominique, Dhavala, Soma Sekhar, Geedipally, Srinivas Reddy

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The negative binomial-Lindley generalized linear model: Characteristics and application using crash data von Geedipally, Srinivas Reddy, Lord, Dominique, Dhavala, Soma Sekhar

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Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson–gamma models von Geedipally, Srinivas Reddy, Lord, Dominique

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The negative binomial–Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros von Lord, Dominique, Geedipally, Srinivas Reddy

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Exploring the application of the Negative Binomial–Generalized Exponential model for analyzing traffic crash data with excess zeros von Vangala, Prathyusha, Lord, Dominique, Geedipally, Srinivas Reddy

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Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data von Shaon, Mohammad Razaur Rahman, Qin, Xiao, Shirazi, Mohammadali, Lord, Dominique, Geedipally, Srinivas Reddy

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Extension of the Application of Conway-Maxwell-Poisson Models: Analyzing Traffic Crash Data Exhibiting Underdispersion von Lord, Dominique, Geedipally, Srinivas Reddy, Guikema, Seth D

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Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways Using a Cross-Sectional Study von Wu, Lingtao, Lord, Dominique, Geedipally, Srinivas Reddy

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Analysis of crash severities using nested logit model—Accounting for the underreporting of crashes von Patil, Sunil, Geedipally, Srinivas Reddy, Lord, Dominique

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