Journal of Transportation Safety & Security
Latest Publications

TOTAL DOCUMENTS

519

(FIVE YEARS 210)

H-INDEX

18

(FIVE YEARS 5)

Published By Informa Uk (Taylor & Francis)

1943-9970, 1943-9962

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An ensemble machine learning method for crash responsibility assignment in quasi-induced exposure theory

Journal of Transportation Safety & Security ◽

10.1080/19439962.2022.2026543 ◽

2022 ◽

pp. 1-19

Author(s):

Guopeng Zhang ◽

Ying Cai ◽

Xinguo Jiang ◽

Yingfei Fan ◽

Yue Zhou ◽

...

Keyword(s):

Machine Learning ◽

Machine Learning Method ◽

Learning Method ◽

Ensemble Machine Learning

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Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.2020945 ◽

2021 ◽

pp. 1-23

Author(s):

Mingjie Feng ◽

Xuesong Wang ◽

Yan Li

Keyword(s):

Unobserved Heterogeneity ◽

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An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.2015731 ◽

2021 ◽

pp. 1-23

Author(s):

Chengyu Hu ◽

Wenchen Yang ◽

Chenglong Liu ◽

Rui Fang ◽

Zhongyin Guo ◽

...

Keyword(s):

Neural Network ◽

Visual Attention ◽

Prediction Model ◽

Convolutional Neural Network ◽

Risk Prediction ◽

Risk Prediction Model ◽

Deep Convolutional Neural Network ◽

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Policies, population and impacts in metro ridership response to COVID-19 in Changsha

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.2005727 ◽

2021 ◽

pp. 1-21

Author(s):

Wang Xiang ◽

Li Chen ◽

Bin Wang ◽

Qingwan Xue ◽

Wei Hao ◽

...

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Combined variable speed limit and lane change guidance for secondary crash prevention using distributed deep reinforcement learning

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.2011810 ◽

2021 ◽

pp. 1-26

Author(s):

Chang Peng ◽

Chengcheng Xu

Keyword(s):

Reinforcement Learning ◽

Speed Limit ◽

Lane Change ◽

Variable Speed ◽

Variable Speed Limit ◽

Crash Prevention

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Determinants of traffic violations in China: A case-study with a partial proportional odds model

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.1994682 ◽

2021 ◽

pp. 1-21

Author(s):

Jingfeng Ma ◽

Gang Ren ◽

Haoxuan Fan ◽

Shunchao Wang ◽

Jingcai Yu

Keyword(s):

Proportional Odds Model ◽

Proportional Odds ◽

Traffic Violations ◽

Partial Proportional Odds Model

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An analysis of factors influencing driver action on downgrade crashes using the mixed logit analysis

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.2002991 ◽

2021 ◽

pp. 1-26

Author(s):

Milhan Moomen ◽

Mahdi Rezapour ◽

Khaled Ksaibati

Keyword(s):

Mixed Logit ◽

Logit Analysis ◽

Factors Influencing

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Evasion planning for autonomous intersection control based on an optimized conflict point control formulation

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.1998939 ◽

2021 ◽

pp. 1-37

Author(s):

Di Kang ◽

Zhexian Li ◽

Michael W. Levin

Keyword(s):

Point Control ◽

Intersection Control

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Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.1994683 ◽

2021 ◽

pp. 1-26

Author(s):

Qiangqiang Shangguan ◽

Junhua Wang ◽

Ting Fu ◽

Shou’en Fang

Keyword(s):

Influencing Factors ◽

Probit Model ◽

Ordered Probit ◽

Ordered Probit Model ◽

Random Parameters

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A semantic embedding methodology for motor vehicle crash records: A case study of traffic safety in Manhattan Borough of New York City

Journal of Transportation Safety & Security ◽

10.1080/19439962.2021.1994681 ◽

2021 ◽

pp. 1-21

Author(s):

Yuxuan Wang ◽

Ruoxin Xiong ◽

Hao Yu ◽

Jie Bao ◽

Zhao Yang

Keyword(s):

New York ◽

New York City ◽

Traffic Safety ◽

York City ◽

Motor Vehicle ◽

Motor Vehicle Crash ◽

Semantic Embedding ◽

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