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S

Srinivas Reddy Geedipally

Texas A&M Transportation Institute

26H指数
144论文数
2.5K被引数
收录论文 20
发表时间
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Assessing the importance of functional form selection in developing calibration functions for the highway safety manual predictive models评估函数形式选择在开发《公路安全手册》预测模型校准函数中的重要性
errJournal of Safety Research
IF4.4
err2025-07-16
err0
PREAI
errMadeline Blair; Srinivas Reddy Geedipally; Mohammadali Shirazi
err分享
err收藏
Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model公交车站附近行人碰撞成因分析：随机参数负二项-Lindley模型的启示
erraccident analysis and prevention
IF0
err2025-07-11
err0
PREAI
errMohammad Anis; Srinivas R. Geedipally; Dominique Lord
err分享
err收藏
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2025-03-01
err0
PREAI
errAnis, Mohammad; Li, Sixu; Geedipally, Srinivas R.; Zhou, Yang; Lord, Dominique
err分享
err收藏
Evaluating alternative variations of Negative Binomial-Lindley distribution for modelling crash data
errTRANSPORTMETRICA A-TRANSPORT SCIENCE
IF3.1
err2022-05-09
err17
PREAI
errKhodadadi, Ali; Shirazi, Mohammadali; Geedipally, Srinivas; Lord, Dominique
err分享
err收藏
Inclusion of speed and weather measures in safety performance functions for rural roadways
errIATSS RESEARCH
IF3.3
err2021-04-01
err16
errOAAI
errDas, Subasish; Geedipally, Srinivas R.; Fitzpatrick, Kay
err分享
err收藏
A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations
errTRANSPORTMETRICA A-TRANSPORT SCIENCE
IF3.1
err2020-12-23
err10
PREAI
errShirazi, Mohammadali; Geedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
errANALYTIC METHODS IN ACCIDENT RESEARCH
IF12.6
err2018-06-01
err56
PREAI
errShaon, Mohammad Razaur Rahman; Qin, Xiao; Shirazi, Mohammadali; Lord, Dominique; Geedipally, Srinivas Reddy
err分享
err收藏
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)一种基于数据特征的模型选择启发式设计方法: 用于研究负二项式Lindley (nb-l) 何时优于负二项式 (NB) 的应用
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2017-10-01
err22
PREAI
errShirazi, Mohammadali; Dhavala, Soma Sekhar; Lord, Dominique; Geedipally, Srinivas Reddy
err分享
err收藏
Effects of red light running camera systems installation and then deactivation on intersection safety
errJOURNAL OF SAFETY RESEARCH
IF4.4
err2017-09-01
err16
PREAI
errKo, Myunghoon; Geedipally, Srinivas Reddy; Walden, Troy Duane; Wunderlich, Robert Carl
err分享
err收藏
A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2017-01-01
err19
PREAI
errShirazi, Mohammadali; Geedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data用于建模具有重尾的过度分散计数数据的半参数负二项广义线性模型: 崩溃数据的特征和应用
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2016-06-01
err50
PREAI
errShirazi, Mohammadali; Lord, Dominique; Dhavala, Soma Sekhar; Geedipally, Srinivas Reddy
err分享
err收藏
Application of the Hyper-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes
errRISK ANALYSIS
IF3.3
err2014-11-10
err7
PREAI
errKhazraee, S. Hadi; Saez-Castillo, Antonio Jose; Geedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
Evaluating the double Poisson generalized linear model
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2013-10-01
err21
PREAI
errZou, Yaotian; Geedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
The negative binomial-Lindley generalized linear model: Characteristics and application using crash data负二项式-Lindley广义线性模型: 使用碰撞数据的特征和应用
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2012-03-01
err128
PREAI
errGeedipally, Srinivas Reddy; Lord, Dominique; Dhavala, Soma Sekhar
err分享
err收藏
Analysis of crash severities using nested logit model-Accounting for the underreporting of crashes使用嵌套logit模型分析崩溃的严重性-解决崩溃的漏报问题
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2012-03-01
err60
PREAI
errPatil, Sunil; Geedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
The negative binomial-Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros负二项式-Lindley分布作为分析以大量零为特征的碰撞数据的工具
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2011-09-01
err71
PREAI
errLord, Dominique; Geedipally, Srinivas Reddy
err分享
err收藏
Characterizing the Performance of the Conway-Maxwell Poisson Generalized Linear Model
errRISK ANALYSIS
IF3.3
err2011-07-30
err52
errOAAI
errFrancis, Royce A.; Geedipally, Srinivas Reddy; Guikema, Seth D.; Dhavala, Soma Sekhar; Lord, Dominique; LaRocca, Sarah
err分享
err收藏
Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson gamma models
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2010-07-01
err118
PREAI
errGeedipally, Srinivas Reddy; Lord, Dominique
err分享
err收藏
Extension of the Application of Conway-Maxwell-Poisson Models: Analyzing Traffic Crash Data Exhibiting Underdispersion扩展conwell-maxwell-poisson模型的应用: 分析交通事故数据表现出欠分散
errRISK ANALYSIS
IF3.3
err2010-04-20
err104
PREAI
errLord, Dominique; Geedipally, Srinivas Reddy; Guikema, Seth D.
err分享
err收藏
Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes
errACCIDENT ANALYSIS AND PREVENTION
IF6.2
err2008-05-01
err195
PREAI
errLord, Dominique; Guikema, Seth D.; Geedipally, Srinivas Reddy
err分享
err收藏

研究方向

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合作学者
合作期刊
D
Dominique Lord
H 指数: 52 · 论文数: 308
S
Seth D. Guikema
H 指数: 48 · 论文数: 255
S
Subasish Das
H 指数: 41 · 论文数: 398
K
Kay Fitzpatrick
H 指数: 31 · 论文数: 355
X
Xiao Qin
H 指数: 30 · 论文数: 230
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