Mohammadali Shirazi

University of Massachusetts Lowell

H指数:14

被引数:563

个人简介

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Merging behavior under varying work zone sign scenarios: A heterogeneity-based analysis

在不同工作区标志场景下的合并行为：基于异质性的分析

Accident Analysis and Prevention

IF6.2

2026-06-010

PRE

Spatiotemporal trends in pedestrian crashes: Socio-demographic influence and built environment impacts

时空趋势下的行人交通事故：社会经济影响与建成环境影响

Journal of Safety Research

IF4.4

2026-03-020

PRE

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

Journal of Safety Research

IF4.4

2025-07-160

PRE

Examining the impact of centerline rumble strips on reducing rural two-lane head-on collisions in Maine

考察中心线警示标线对减少缅因州乡村双车道迎头碰撞事故的影响

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2025-06-010

PRE

A comprehensive multi-objective framework for the estimation of crash frequency models

用于估计碰撞频率模型的综合多目标框架

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2025-02-010

OAAI

The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash data

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2024-11-012

PRE

Understanding speeding behavior on interstate horizontal curves and ramps using networkwide probe data

JOURNAL OF SAFETY RESEARCH

IF4.4

2024-09-011

PRE

Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2024-05-012

PRE

Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations

ANALYTIC METHODS IN ACCIDENT RESEARCH

IF12.6

2023-03-0117

OAAI

Driver, roadway, and weather factors on severity of lane departure crashes in Maine

JOURNAL OF SAFETY RESEARCH

IF4.4

2023-02-0112

OAAI

Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations

有限混合负二项式-Lindley用于建模具有许多零观测值的异构碰撞数据

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2022-09-0110

PRE

Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2022-06-0119

PRE

Evaluating alternative variations of Negative Binomial-Lindley distribution for modelling crash data

TRANSPORTMETRICA A-TRANSPORT SCIENCE

IF3.1

2022-05-0917

PRE

A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations

TRANSPORTMETRICA A-TRANSPORT SCIENCE

IF3.1

2020-12-2310

PREAI

Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data

ANALYTIC METHODS IN ACCIDENT RESEARCH

IF12.6

2018-06-0156

PREAI

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

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2017-10-0122

PREAI

Estimating the minimal revenue tolls in large-scale roadway networks using the dynamic penalty function method

COMPUTERS & INDUSTRIAL ENGINEERING

IF6.5

2017-05-0110

PREAI

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

IF6.2

2017-01-0119

PREAI

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

ACCIDENT ANALYSIS AND PREVENTION

IF6.2

2016-06-0150

PREAI

Mohammadali Shirazi

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