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S
Srinivas Reddy Geedipally
Texas A&M Transportation Institute
26
H-index
144
Paper Count
2.5K
Citation Count
0
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Published Papers
20
Publication Date
Publication Date
Impact Factor
Citations
Assessing the importance of functional form selection in developing calibration functions for the highway safety manual predictive models
Journal of Safety Research
IF
4.4
2025-07-16
0
PRE
AI
Madeline Blair; Srinivas Reddy Geedipally; Mohammadali Shirazi
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Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model
accident analysis and prevention
IF
0
2025-07-11
0
PRE
AI
Mohammad Anis; Srinivas R. Geedipally; Dominique Lord
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Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2025-03-01
0
PRE
AI
Anis, Mohammad; Li, Sixu; Geedipally, Srinivas R.; Zhou, Yang; Lord, Dominique
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Evaluating alternative variations of Negative Binomial-Lindley distribution for modelling crash data
TRANSPORTMETRICA A-TRANSPORT SCIENCE
IF
3.1
2022-05-09
17
PRE
AI
Khodadadi, Ali; Shirazi, Mohammadali; Geedipally, Srinivas; Lord, Dominique
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Inclusion of speed and weather measures in safety performance functions for rural roadways
IATSS RESEARCH
IF
3.3
2021-04-01
16
OA
AI
Das, Subasish; Geedipally, Srinivas R.; Fitzpatrick, Kay
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A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations
TRANSPORTMETRICA A-TRANSPORT SCIENCE
IF
3.1
2020-12-23
10
PRE
AI
Shirazi, Mohammadali; Geedipally, Srinivas Reddy; Lord, Dominique
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Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
ANALYTIC METHODS IN ACCIDENT RESEARCH
IF
12.6
2018-06-01
56
PRE
AI
Shaon, Mohammad Razaur Rahman; Qin, Xiao; Shirazi, Mohammadali; Lord, Dominique; Geedipally, Srinivas Reddy
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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 the Negative Binomial (NB)
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2017-10-01
22
PRE
AI
Shirazi, Mohammadali; Dhavala, Soma Sekhar; Lord, Dominique; Geedipally, Srinivas Reddy
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Effects of red light running camera systems installation and then deactivation on intersection safety
JOURNAL OF SAFETY RESEARCH
IF
4.4
2017-09-01
16
PRE
AI
Ko, Myunghoon; Geedipally, Srinivas Reddy; Walden, Troy Duane; Wunderlich, Robert Carl
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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
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2017-01-01
19
PRE
AI
Shirazi, Mohammadali; Geedipally, Srinivas Reddy; Lord, Dominique
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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
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2016-06-01
50
PRE
AI
Shirazi, Mohammadali; Lord, Dominique; Dhavala, Soma Sekhar; Geedipally, Srinivas Reddy
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Application of the Hyper-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes
RISK ANALYSIS
IF
3.3
2014-11-10
7
PRE
AI
Khazraee, S. Hadi; Saez-Castillo, Antonio Jose; Geedipally, Srinivas Reddy; Lord, Dominique
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Evaluating the double Poisson generalized linear model
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2013-10-01
21
PRE
AI
Zou, Yaotian; Geedipally, Srinivas Reddy; Lord, Dominique
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The negative binomial-Lindley generalized linear model: Characteristics and application using crash data
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2012-03-01
128
PRE
AI
Geedipally, Srinivas Reddy; Lord, Dominique; Dhavala, Soma Sekhar
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Analysis of crash severities using nested logit model-Accounting for the underreporting of crashes
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2012-03-01
60
PRE
AI
Patil, Sunil; 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
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2011-09-01
71
PRE
AI
Lord, Dominique; Geedipally, Srinivas Reddy
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Characterizing the Performance of the Conway-Maxwell Poisson Generalized Linear Model
RISK ANALYSIS
IF
3.3
2011-07-30
52
OA
AI
Francis, Royce A.; Geedipally, Srinivas Reddy; Guikema, Seth D.; Dhavala, Soma Sekhar; Lord, Dominique; LaRocca, Sarah
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Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson gamma models
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2010-07-01
118
PRE
AI
Geedipally, Srinivas Reddy; Lord, Dominique
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Extension of the Application of Conway-Maxwell-Poisson Models: Analyzing Traffic Crash Data Exhibiting Underdispersion
RISK ANALYSIS
IF
3.3
2010-04-20
104
PRE
AI
Lord, Dominique; Geedipally, Srinivas Reddy; Guikema, Seth D.
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Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes
ACCIDENT ANALYSIS AND PREVENTION
IF
6.2
2008-05-01
195
PRE
AI
Lord, Dominique; Guikema, Seth D.; Geedipally, Srinivas Reddy
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Research Directions
The data has not been retrieved yet.
Co-authors
Cooperation Journals
D
Dominique Lord
H-index: 52 · Papers: 308
S
Seth D. Guikema
H-index: 48 · Papers: 256
S
Subasish Das
H-index: 41 · Papers: 400
K
Kay Fitzpatrick
H-index: 31 · Papers: 355
X
Xiao Qin
H-index: 30 · Papers: 230
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