selected publications academic article Geedipally, S. R., & Lord, D. (2010). Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma models. Accident Analysis and Prevention. 42(4), 1273-1282. Shirazi, M., Reddy Geedipally, S., & Lord, D. A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements. Accident Analysis and Prevention. 98, 303-311. Geedipally, S. R., Lord, D., & Dhavala, S. S. A caution about using deviance information criterion while modeling traffic crashes. SAFETY SCIENCE. 62, 495-498. Shirazi, M., Dhavala, S. S., Lord, D., & Geedipally, S. R. 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 the Negative Binomial (NB). Accident Analysis and Prevention. 107, 186-194. Shirazi, M., Geedipally, S. R., & Lord, D. A procedure to determine when safety performance functions should be recalibrated. Journal of Transportation Safety and Security. 9(4), 457-469. Shirazi, M., Lord, D., Dhavala, S. S., & Geedipally, S. R. A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data. Accident Analysis and Prevention. 91, 10-18. Shirazi, M., & Geedipally, S. R. A simulation analysis to explore when using a calibration function is preferred over a scalar factor for calibrating safety performance functions. Journal of Transportation Safety and Security. 15(4), 335-349. Shirazi, M., Geedipally, S. R., & Lord, D. A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations. Transportmetrica A: Transport Science. 17(4), 1305-1317. Geedipally, S. R., Bonneson, J. A., Pratt, M. P., & Lord, D. Analysis of Injury Severity in Crashes on Ramps and at Crossroad Ramp Terminals. Transportation Research Record. 2435(2435), 37-44. Pratt, M. P., Geedipally, S. R., & Pike, A. M. Analysis of Vehicle Speeds and Speed Differentials in Curves. Transportation Research Record. 2486(2486), 28-36. Geedipally, S. R., Lord, D., & Park, B. Analyzing Different Parameterizations of the Varying Dispersion Parameter as a Function of Segment Length. Transportation Research Record. 2103(2103), 108-118. Lord, D., Guikema, S. D., & Geedipally, S. R. Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes. Accident Analysis and Prevention. 40(3), 1123-1134. Khazraee, S. H., Sez-Castillo, A. J., Geedipally, S. R., & Lord, D. Application of the Hyper-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes. Risk Analysis. 35(5), 919-930. Lord, D., Kuo, P., & Geedipally, S. R. Comparison of Application of Product of Baseline Models and Accident-Modification Factors and Models with Covariates Predicted Mean Values and Variance. Transportation Research Record. 2147(2147), 113-122. Pratt, M. P., Geedipally, S. R., & Le, M. Cross-Sectional Study of Vehicle Speeds on Rural Four-Lane Highway Curves. Transportation Research Record. 2674(10), 15-27. Geedipally, S. R., Das, S., Pratt, M. P., & Lord, D. Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation. Transportation Research Record. 2674(9), 358-370. Wu, L., Lord, D., & Geedipally, S. R. Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways Using a Cross-Sectional Study. Transportation Research Record. 2636(2636), 53-61. Shaon, M., Qin, X., Shirazi, M., Lord, D., & Geedipally, S. R. Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data. Analytic Methods in Accident Research. 18, 33-44. Peng, Y., Geedipally, S. R., & Lord, D. Effect of Roadside Features on Single-Vehicle Roadway Departure Crashes on Rural Two-Lane Roads. Transportation Research Record. 2309(2309), 21-29. Ko, M., Geedipally, S. R., & Walden, T. D. Effectiveness and Site Selection Criteria for Red Light Camera Systems. Transportation Research Record. 2327(2327), 53-60. Geedipally, S. R., & Lord, D. Effects of Varying Dispersion Parameter of Poisson-Gamma Models on Estimation of Confidence Intervals of Crash Prediction Models. Transportation Research Record. 2061(2061), 46-54. Geedipally, S. R., Pratt, M. P., & Lord, D. Effects of geometry and pavement friction on horizontal curve crash frequency. Journal of Transportation Safety and Security. 11(2), 167-188. Ko, M., Geedipally, S. R., Walden, T. D., & Wunderlich, R. C. Effects of red light running camera systems installation and then deactivation on intersection safety. JOURNAL OF SAFETY RESEARCH. 62, 117-126. Le, M., Geedipally, S. R., Fitzpatrick, K., & Avelar, R. E. Estimating Pedestrian Volumes for Signalized and Stop-Controlled Intersections. Transportation Research Record. 2674(9), 799-808. Zou, Y., Geedipally, S. R., & Lord, D. Evaluating the double Poisson generalized linear model. Accident Analysis and Prevention. 59, 497-505. Geedipally, S. R., Lord, D., & Reddy, G. Evaluation of Texas Department of Transportation Safety Improvement Index as a Prioritization Tool. Transportation Research Record. 2241(2241), 39-50. Geedipally, S. R., & Lord, D. Examination of Crash Variances Estimated by Poisson-Gamma and Conway-Maxwell-Poisson Models. Transportation Research Record. 2241(2241), 59-67. Geedipally, S. R., Shirazi, M., & Lord, D. Exploring the Need for Region-Specific Calibration Factors. Transportation Research Record. 2636(2636), 73-79. Vangala, P., Lord, D., & Geedipally, S. R. Exploring the application of the Negative Binomial-Generalized Exponential model for analyzing traffic crash data with excess zeros. Analytic Methods in Accident Research. 7, 29-36. Lord, D., Geedipally, S. R., & Guikema, S. D. Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersion. Risk Analysis. 30(8), 1268-1276. Pratt, M. P., Geedipally, S. R., Dadashova, B., Wu, L., & Shirazi, M. Familiar versus Unfamiliar Drivers on Curves: Naturalistic Data Study. Transportation Research Record. 2673(6), 225-235. Geedipally, S. R., & Lord, D. Identifying Hot Spots by Modeling Single-Vehicle and Multivehicle Crashes Separately. Transportation Research Record. 2147(2147), 97-104. Das, S., Geedipally, S. R., & Fitzpatrick, K. Inclusion of speed and weather measures in safety performance functions for rural roadways. IATSS Research. 45(1), 60-69. Das, S., Geedipally, S. R., Dixon, K., Sun, X., & Ma, C. Measuring the Effectiveness of Vehicle Inspection Regulations in Different States of the US. Transportation Research Record. 2673(5), 208-219. Fitzpatrick, K., Geedipally, S., Kutela, B., & Koonce, P. Midblock Pedestrian Signal Safety Effectiveness. Transportation Research Record. 2678(4), 243-256. Geedipally, S. R., & Pratt, M. P. Predicting the Distribution of Vehicle Travel Paths along Horizontal Curves. Journal of Transportation Engineering Part A Systems. 143(7), 04017021. Kutela, B., Avelar, R. E., Geedipally, S. R., & Jhamb, A. Prediction of Occurrence and Severity of Run-off-Roadway Crashes on Rural Two-Lane Roadways Using Bayesian Networks. Transportation Research Record. 2676(3), 371-384. Geedipally, S. R., Songchitruksa, P., & Pike, A. M. Quantifying the Effectiveness of Performance-Based Pavement Marking Maintenance Contracts. Transportation Research Record. 2482(2482), 23-31. Das, S., & Geedipally, S. Rural Speed Safety Project for USDOT Safety Data Initiative: Findings and Outcomes. ITE Journal (Institute of Transportation Engineers). 90(9), 38-44. Wu, L., Geedipally, S. R., & Pike, A. M. Safety Evaluation of Alternative Audible Lane Departure Warning Treatments in Reducing Traffic Crashes: An Empirical Bayes Observational Before-After Study. Transportation Research Record. 2672(21), 30-40. Geedipally, S., Das, S., Wu, L., & Pratt, M. P. Safety Performance Functions for Frontage Roads. Transportation Research Record. Shirazi, M., Lord, D., & Geedipally, S. R. Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual. Accident Analysis and Prevention. 93, 160-168. Geedipally, S. R., Bonneson, J. A., Pratt, M. P., & Lord, D. Severity Distribution Functions for Freeway Segments. Transportation Research Record. 2398(2398), 19-27. Cheng, L., Geedipally, S. R., & Lord, D. The Poisson-Weibull generalized linear model for analyzing motor vehicle crash data. SAFETY SCIENCE. 54, 38-42. Lord, D., & Geedipally, S. R. The negative binomial-Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros. Accident Analysis and Prevention. 43(5), 1738-1742. Geedipally, S. R., Lord, D., & Dhavala, S. S. The negative binomial-Lindley generalized linear model: characteristics and application using crash data. Accident Analysis and Prevention. 45, 258-265. Wu, L., Dadashova, B., Geedipally, S., Pratt, M. P., & Shirazi, M. Using naturalistic driving study data to explore the association between horizontal curve safety and operation on rural two-lane highways. Journal of Transportation Safety and Security. 13(8), 896-913. Das, S., Mudgal, A., Dutta, A., & Geedipally, S. R. Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables. Transportation Research Record. 2672(32), 72-82. book Lord, D., Qin, X., & Geedipally, S. R. Highway Safety Analytics and Modeling. Elsevier.
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