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S. Geedipally · SciRah

Researcher profile · Semantic Scholar

S. Geedipally

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S. Geedipally — researcher profile on SciRah

h-index: 27
Works: 127
Citations: 2,552

Most-cited papers

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, S. Dhavala, S. Geedipally
2016Accident Analysis and Prevention78 citations
Semantic Scholar
Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
Mohammad Razaur Rahman Shaon, Xiao Qin, M. Shirazi, D. Lord +1 more
201874 citations
Semantic Scholar
The Poisson-Weibull generalized linear model for analyzing motor vehicle crash data
Lingzi Cheng, S. Geedipally, D. Lord
201360 citations Open access
Semantic Scholar
Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual.
M. Shirazi, D. Lord, S. Geedipally
2016Accident Analysis and Prevention53 citations
Semantic Scholar
A caution about using deviance information criterion while modeling traffic crashes
S. Geedipally, D. Lord, S. Dhavala
201451 citations
Semantic Scholar
Effects of geometry and pavement friction on horizontal curve crash frequency
S. Geedipally, M. Pratt, D. Lord
201950 citations
Semantic Scholar
Exploring the application of the negative binomial-generalized exponential model for analyzing traffic crash data with excess zeros
P. Vangala, D. Lord, S. Geedipally
201550 citations
Semantic Scholar
Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables
Subasish Das, Abhisek Mudgal, Anandi K. Dutta, S. Geedipally
2018Transportation Research Record40 citations
Semantic Scholar
Evaluating the double Poisson generalized linear model.
Yaotian Zou, S. Geedipally, D. Lord
2013Accident Analysis and Prevention39 citations Open access
Semantic Scholar
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).
M. Shirazi, S. Dhavala, D. Lord, S. Geedipally
2017Accident Analysis and Prevention36 citations
Semantic Scholar
Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways Using a Cross-Sectional Study
Ling-Tao Wu, D. Lord, S. Geedipally
201729 citations
Semantic Scholar
Evaluating alternative variations of Negative Binomial–Lindley distribution for modelling crash data
A. Khodadadi, M. Shirazi, S. Geedipally, D. Lord
2022Transportmetrica A: Transport Science28 citations
Semantic Scholar
Effectiveness and Site Selection Criteria for Red Light Camera Systems
Myunghoon Ko, S. Geedipally, T. Walden
201328 citations
Semantic Scholar
Inclusion of speed and weather measures in safety performance functions for rural roadways
Subasish Das, S. Geedipally, K. Fitzpatrick
202022 citations Open access
Semantic Scholar
Measuring the Effectiveness of Vehicle Inspection Regulations in Different States of the U.S.
Subasish Das, S. Geedipally, K. Dixon, Xiaoduan Sun +1 more
2019Transportation Research Record22 citations
Semantic Scholar
Applying Bayesian data mining to measure the effect of vehicular defects on crash severity
Subasish Das, Anandi K. Dutta, S. Geedipally
2019Journal of Transportation Safety & Security22 citations
Semantic Scholar
Safety Evaluation of Alternative Audible Lane Departure Warning Treatments in Reducing Traffic Crashes: An Empirical Bayes Observational Before–After Study
Ling-Tao Wu, S. Geedipally, Adam M. Pike
2018Transportation Research Record22 citations
Semantic Scholar
Effects of red light running camera systems installation and then deactivation on intersection safety.
Myunghoon Ko, S. Geedipally, T. Walden, Robert Wunderlich
2017Journal of Safety Research22 citations
Semantic Scholar
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models.
Mohammad Anis, Sixu Li, S. Geedipally, Yang Zhou +1 more
2024Accident Analysis and Prevention21 citations
Semantic Scholar
Safety Prediction Methodology and Analysis Tool for Freeways and Interchanges
J. Bonneson, S. Geedipally, M. Pratt, D. Lord
202118 citations
Semantic Scholar
Evaluating the Need for Surface Treatments to Reduce Crash Frequency on Horizontal Curves
M. Pratt, S. Geedipally, Adam M. Pike, P. Carlson +2 more
201418 citations
Semantic Scholar
Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation
S. Geedipally, Subasish Das, M. Pratt, D. Lord
202017 citations
Semantic Scholar
A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations
M. Shirazi, S. Geedipally, D. Lord
2020Transportmetrica A: Transport Science15 citations
Semantic Scholar
Using naturalistic driving study data to explore the association between horizontal curve safety and operation on rural two-lane highways
Ling-Tao Wu, Bahar Dadashova, S. Geedipally, M. Pratt +1 more
201915 citations
Semantic Scholar
Safety Performance Functions for Rural Road Segments and Rural Intersections in Michigan
T. Gates, P. Savolainen, Raul E. Avelar, S. Geedipally +3 more
201814 citations
Semantic Scholar
Safety Prediction with Datasets Characterised with Excess Zero Responses and Long Tails
D. Lord, S. Geedipally
201814 citations
Semantic Scholar
A procedure to determine when safety performance functions should be recalibrated
M. Shirazi, S. Geedipally, D. Lord
201714 citations
Semantic Scholar
Improved Guidelines for Estimating the Highway Safety Manual Calibration Factors
D. Lord, S. Geedipally, M. Shirazi
201614 citations
Semantic Scholar
Michigan urban trunkline intersections safety performance functions (SPFs) development and support.
P. Savolainen, T. Gates, D. Lord, S. Geedipally +4 more
201514 citations
Semantic Scholar
Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial-Lindley model.
Mohammad Anis, S. Geedipally, D. Lord
2024Accident Analysis and Prevention13 citations Open access
Semantic Scholar
Prediction of Occurrence and Severity of Run-off-Roadway Crashes on Rural Two-Lane Roadways Using Bayesian Networks
Boniphace Kutela, Raul E. Avelar, S. Geedipally, Ankit Jhamb
2021Transportation Research Record12 citations
Semantic Scholar
Familiar versus Unfamiliar Drivers on Curves: Naturalistic Data Study
M. Pratt, S. Geedipally, Bahar Dadashova, Ling-Tao Wu +1 more
2019Transportation Research Record12 citations
Semantic Scholar
Exploring the Need for Region-Specific Calibration Factors
S. Geedipally, M. Shirazi, D. Lord
201711 citations
Semantic Scholar
Analysis of Injury Severity in Crashes on Ramps and at Crossroad Ramp Terminals
S. Geedipally, J. Bonneson, M. Pratt, D. Lord
201411 citations
Semantic Scholar
Predicting the Distribution of Vehicle Travel Paths along Horizontal Curves
S. Geedipally, M. Pratt
201710 citations
Semantic Scholar
Identification of Factors Contributing to the Decline of Traffic Fatalities in the United States from 2008 to 2012
D. Blower, C. Flannagan, S. Geedipally, D. Lord +1 more
20209 citations
Semantic Scholar
Safety Performance Functions for Low-Volume Rural Stop-Controlled Intersections
S. Stapleton, T. Gates, Raul E. Avelar, S. Geedipally +1 more
2019Transportation Research Record9 citations
Semantic Scholar
Safety Analysis of Urban Signalized Intersections in Kolkata, India Using a Combined Proactive and Reactive Approach
Sudeshna Mitra, S. Geedipally, D. Lord
20179 citations
Semantic Scholar
Severity Distribution Functions for Freeway Segments
S. Geedipally, J. Bonneson, M. Pratt, D. Lord
20139 citations
Semantic Scholar
Pavement Safety-Based Guidelines for Horizontal Curve Safety
M. Pratt, S. Geedipally, B. Wilson, Subasish Das +2 more
20188 citations
Semantic Scholar
Midblock Pedestrian Signal Safety Effectiveness
K. Fitzpatrick, S. Geedipally, Boniphace Kutela, P. Koonce
2023Transportation Research Record7 citations
Semantic Scholar
Exploratory analyses of safety data
D. Lord, Xiao Qin, S. Geedipally
20217 citations
Semantic Scholar
Estimating Pedestrian Volumes for Signalized and Stop-Controlled Intersections
Minh Le, S. Geedipally, K. Fitzpatrick, Raul E. Avelar
20207 citations
Semantic Scholar
Improving the Quality of Motorcycle Travel Data Collection
D. Middleton, P. Turner, H. Charara, S. Sunkari +2 more
20137 citations
Semantic Scholar
Rural Speed Safety Project for USDOT Safety Data Initiative: Summary Report
Subasish Das, S. Geedipally, Raul E. Avelar, Ling-Tao Wu +3 more
20206 citations
Semantic Scholar
Analysis of Work Zone Crash Characteristics and Countermeasures
G. Ullman, M. Pratt, S. Geedipally, Bahar Dadashova +3 more
20186 citations
Semantic Scholar
Developing Methodology for Identifying, Evaluating, and Prioritizing Systemic Improvements
T. Walden, D. Lord, Myunghoon Ko, S. Geedipally +1 more
20156 citations
Semantic Scholar
Analysis of Vehicle Speeds and Speed Differentials in Curves
M. Pratt, S. Geedipally, Adam M. Pike
20156 citations
Semantic Scholar
Evaluating the Effectiveness of Performance Based Pavement Marking Maintenance Contracts in Texas
Adam M. Pike, P. Songchitruksa, S. Geedipally, Don Kang +1 more
20146 citations
Semantic Scholar
Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials
D. Lord, S. Geedipally, M. Pratt, Eun Sug Park +2 more
20225 citations
Semantic Scholar

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