Srinivas Reddy Geedipally
Srinivas Reddy Geedipally
Researcher, Texas Transportation Institute
Verified email at ttimail.tamu.edu
Title
Cited by
Cited by
Year
Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes
D Lord, SD Guikema, SR Geedipally
Accident Analysis & Prevention 40 (3), 1123-1134, 2008
2392008
The negative binomial-Lindley generalized linear model: Characteristics and application using crash data
SR Geedipally, D Lord, SS Dhavala
Accident Analysis & Prevention 45, 258-265, 2012
1262012
Extension of the application of Conway‐Maxwell‐Poisson models: Analyzing traffic crash data exhibiting underdispersion
D Lord, SR Geedipally, SD Guikema
Risk Analysis: An International Journal 30 (8), 1268-1276, 2010
1252010
Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson–gamma models
SR Geedipally, D Lord
Accident Analysis & Prevention 42 (4), 1273-1282, 2010
1112010
Safety prediction methodology and analysis tool for freeways and interchanges
JA Bonneson, S Geedipally, MP Pratt, D Lord
NCHRP Web-Only Document, 2021
952021
Analysis of large truck collisions with bridge piers: phase 1, report of guidelines for designing bridge piers and abutments for vehicle collisions.
CE Buth, WF Williams, MS Brackin, D Lord, SR Geedipally, AY Abu-Odeh
Texas Transportation Institute, 2010
892010
The negative binomial–Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros
D Lord, SR Geedipally
Accident Analysis & Prevention 43 (5), 1738-1742, 2011
842011
Analysis of motorcycle crashes in Texas with multinomial logit model
SR Geedipally, PA Turner, S Patil
Transportation research record 2265 (1), 62-69, 2011
692011
Analysis of crash severities using nested logit model—accounting for the underreporting of crashes
S Patil, SR Geedipally, D Lord
Accident Analysis & Prevention 45, 646-653, 2012
672012
Examination of methods to estimate crash counts by collision type
SR Geedipally, S Patil, D Lord
Transportation Research Record 2165 (1), 12-20, 2010
522010
Estimating the safety performance of urban intersections in Lisbon, Portugal
SV Gomes, SR Geedipally, D Lord
Safety science 50 (9), 1732-1739, 2012
502012
The Poisson–Weibull generalized linear model for analyzing motor vehicle crash data
L Cheng, SR Geedipally, D Lord
Safety science 54, 38-42, 2013
492013
Analysis of roadway departure crashes on two lane rural roads in Texas.
D Lord, MA Brewer, K Fitzpatrick, SR Geedipally, Y Peng
Texas Transportation Institute, 2011
482011
Effects of varying dispersion parameter of Poisson–gamma models on estimation of confidence intervals of crash prediction models
SR Geedipally, D Lord
Transportation Research Record 2061 (1), 46-54, 2008
442008
A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data
M Shirazi, D Lord, SS Dhavala, SR Geedipally
Accident Analysis & Prevention 91, 10-18, 2016
422016
Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual
M Shirazi, D Lord, SR Geedipally
Accident Analysis & Prevention 93, 160-168, 2016
412016
Exploring the application of the negative binomial–generalized exponential model for analyzing traffic crash data with excess zeros
P Vangala, D Lord, SR Geedipally
Analytic methods in accident research 7, 29-36, 2015
412015
Characterizing the performance of the conway‐maxwell poisson generalized linear model
RA Francis, SR Geedipally, SD Guikema, SS Dhavala, D Lord, S LaRocca
Risk Analysis: An International Journal 32 (1), 167-183, 2012
412012
Analyzing different parameterizations of the varying dispersion parameter as a function of segment length
SR Geedipally, D Lord, BJ Park
Transportation research record 2103 (1), 108-118, 2009
392009
A caution about using deviance information criterion while modeling traffic crashes
SR Geedipally, D Lord, SS Dhavala
Safety science 62, 495-498, 2014
382014
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