A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

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Understanding price momentum, market fluctuations, and crashes: insights from the extended Samuelson model by Qingyuan Han

“…Second, ESM predicts the 1987 Black Monday crash weeks in advance, offering a new perspective on its underlying cause. …”
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Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

“…Real-time crash prediction helps identify and prevent the occurrence of traffic crash. …”
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Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model by Ying Chen, Zhongxiang Huang

“…Safety researchers have proposed various analytic methods to predict crashes. However, most of them require complete roadway inventory, traffic, and crash data. …”
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An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan by Hanif Ullah, Asim Farooq, Akhtar Ali Shah

“…Due to the high number of road traffic crashes and resulting fatalities, a random parameters logit model was estimated to determine the risk factors that influence the severity of injuries caused by motor vehicle crashes on national highways. …”
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Analysis of Freeway Secondary Crashes in Different Traffic Flow States by Three-Phase Traffic Theory by Bo Yang, Yao Wu, Weihua Zhang

“…The objective of this study is to analyse the relationship between secondary crash risk and traffic flow states and explore the contributing factors of secondary crashes in different traffic flow states. …”
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Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach by Jaeyoung Lee, Xing Li, Suyi Mao, Wen Fu

“…The traffic violations are divided into four categories by seriousness (unintentional violation, minor violation, serious violation, and crash with violation). The results of the random parameter multinomial logit model indicate that various factors potentially affect the severity of traffic violations. …”
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Geospatial and econometric approaches or older driver safety: Analysis of crash injury severity of regional highways. by Daiquan Xiao, Dajie Zuo, Xuecai Xu, Quan Yuan

“…To reach the goal, a spatial analysis was proposed employing geographic information systems (GIS) with a case study application to two counties in Nevada. First, crash clusters were explored using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) approach to investigate the spatial crash pattern for older drivers, and determine high risk locations of injury severity. …”
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Company's diversification strategy and crash risk stock prices emphasizing operational slack and management ability by Majid Moradi, Roqaye Talebi, Hamid Reza Pakdaman

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Crash-Induced Vibration and Safety Assessment of Breakaway-Type Post Structures Made of High Anticorrosion Steels by Sang-Youl Lee

“…This study deals with car crash effects and passenger safety assessment of post structures with breakaway types using high performance steel materials. …”
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Motorcyclist Is the Right-of-Way Violator: A Population-Based Study of Motorcycle Right-of-Way Crash in Taiwan by Ping-Ling Chen, Yi-Chu Chen, Chih-Wei Pai

“…Using the National Taiwan Crash Database, the present study estimates a logistic regression model to predict the likelihood of an approach-turn motorcycle-turning crash (relative to a car-turning crash). …”
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Predicting Crash Frequency for Urban Expressway considering Collision Types Using Real-Time Traffic Data by Hui Zhang, Siyao Li, Chaozhong Wu, Qi Zhang, Yafen Wang

“…Current studies on traffic crash prediction mainly focus on the crash frequency and crash severity of freeways or arterials. …”
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A Dynamic Bayesian Network-Based Real-Time Crash Prediction Model for Urban Elevated Expressway by Xian Liu, Jian Lu, Zeyang Cheng, Xiaochi Ma

“…Traffic crash is a complex phenomenon that involves coupling interdependency among multiple influencing factors. …”
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Track Behavior and Crash Risk Analysis of Passenger Cars on Hairpin Curves of Two-Lane Mountain Roads by Zhigang Yu, Ying Chen, Xiaobo Zhang, Jin Xu

“…Track morphology and patterns, risks, and road crash mechanisms were analyzed. The main findings are as follows. …”
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Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data by Hengrui Chen, Hong Chen, Zhizhen Liu, Xiaoke Sun, Ruiyu Zhou

“…However, a few studies have performed an in-depth exploration of the contributing factors of crashes involving AVs. This study aims to predict the severity of crashes involving AVs and analyze the effects of the different factors on crash severity. …”
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Riding Through the Pandemic: Unveiling Motorcycle Crash Trends Amidst Three Years of the COVID-19 Crisis by Shahrin Islam, Armana Sabiha Huq, Sadab Ishraq Khan, Sabah Hossain Iqra

“…During the second wave, crashes and fatalities approached predicted values, while injuries remained lower than anticipated. …”
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Simulation-Based Framework for Estimating Crash Modification Factors (CMFs): A Case Study for ITS Countermeasures by Plaban Das, Seri Park, Parth Bhavsar

“…The efficient movement of users and goods is the primary purpose of the surface transportation system. Roadway traffic crashes have devastating impacts on quality of life of the users as well as health of the system. …”
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Exploring the Behavior-Driven Crash Risk Prediction Model: The Role of Onboard Navigation Data in Road Safety by Xiao-chi Ma, Jian Lu, Yiik Diew Wong

“…Driving behavior has frequently been overlooked in previous road traffic crash research. Hereby, abnormal (extreme) driving behavior data transmitted by the onboard navigation systems were collected for vehicles involved in traffic crashes, including sharp-lane-change, sharp-acceleration, and sudden-braking behaviors. …”
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Unified brand strategy and operation quality of business group: evidence from stock price crash risk by Cheng Zhang, Qingsheng Zeng, Qinwen Wu

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Dynamic Spectrum Sensing Under Crash and Byzantine Failure Environments for Distributed Convergence in Cognitive Radio Networks by Ali Mustafa, Muhammad Najam Ul Islam, Salman Ahmed

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