An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data by Issa Cherif Geraldo

“…In this paper, we consider the computing of the maximum likelihood estimate of the vector parameter of a statistical model of crash frequencies. …”
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Random-Parameter Multivariate Negative Binomial Regression for Modeling Impacts of Contributing Factors on the Crash Frequency by Crash Types by Chenzhu Wang, Fei Chen, Jianchuan Cheng, Wu Bo, Ping Zhang, Mingyu Hou, Feng Xiao

“…Therefore, we propose the random-parameter multivariate negative binomial (RPMNB) model to analyze the influence of the traffic, speed, road geometry, and sight characteristics on the rear-end, bumping-guardrail, other, noncasualty, and casualty crashes. Subsequently, we compute the goodness-of-fit and predictive measures to confirm the superiority of the proposed model. …”
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An Improved Deep Learning Model for Traffic Crash Prediction by Chunjiao Dong, Chunfu Shao, Juan Li, Zhihua Xiong

“…The proposed model that includes the MVNB regression layer in the supervised fine tuning module can better account for differential distribution patterns in traffic crashes across injury severities and provides superior traffic crash predictions. …”
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Determinants of Bicyclist Injury Severity Resulting from Crashes at Roundabouts, Crossroads, and T-Junctions by Jinxing Shen, Tiantong Wang, Changjiang Zheng, Miao Yu

“…The marginal effects of each explanatory variable were computed to investigate the impacts on bicyclist injury severity occurring probabilities. …”
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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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Simulation-Based Framework for Estimating Crash Modification Factors (CMFs): A Case Study for ITS Countermeasures by Plaban Das, Seri Park, Parth Bhavsar

“…While researchers are utilizing advanced computing and communication tools to reduce number of crashes on the roadways, there is still an absence of appropriate method to evaluate the safety performances of these advanced technologies in the planning stage. …”
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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…In this paper, a feature fusion-based deep learning framework was developed for video-based urban traffic crash detection task, aiming at achieving a balance between detection speed and accuracy with limited computing resource. …”
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Finite Element Analysis of Occupant Risk in Vehicular Impacts into Cluster Mailboxes by Emre Palta, Lukasz Pachocki, Dawid Bruski, Qian Wang, Christopher Jaus, Howie Fang

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Computer Simulations of Contact Forces for Airbags with Different Folding Patterns During Deployment Phase by King H. Yang, Yun-Qiang Li, Danyu Sun

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Design of a small-scale and failure-resistant IaaS cloud using OpenStack by Samuel Heuchert, Bhaskar Prasad Rimal, Martin Reisslein, Yong Wang

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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

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Foreign object debris detection in lane images using deep learning methodology by Priyadharsini S., Bhuvaneshwara Raja K., Kousi Krishnan T., Senthil Kumar Jagatheesaperumal, Bader Fahad Alkhamees, Mohammad Mehedi Hassan

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Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification by Yajie Zou, Xinzhi Zhong, John Ash, Ziqiang Zeng, Yinhai Wang, Yanxi Hao, Yichuan Peng

“…Performance of the clustering-based EB methods is then compared using real crash data. Here, HSID results, when computed on Texas undivided rural highway cash data, suggest that all three clustering-based EB analysis methods are preferred over the conventional statistical methods. …”
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Using Fuzzy Logic in Test Case Prioritization for Regression Testing Programs with Assertions by Ali M. Alakeel

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Determination of Effective Thoracic Mass by Jeffrey H. Marcus

“…Utilizing previously reported lateral and frontal impact tests with human cadaveric test specimens in a number of different conditions, the effective thoracic mass is computed. The effective thoracic masses are then computed for a variety of crash dummies exposed to identical test conditions.…”
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Smart In-Cabin Air Monitoring System using IoT Technologies by Falah Y H Ahmed, Jabar H. Yousif, Marwan Alshar’e, Maram El Sheikh, Ehsan Al-Ajmi, Mahmood Al-Bahri

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Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

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A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS by Ali Zuhair Ghazi Zahid, Karrar Shakir Muttair, Oras Ahmed Shareef, Abbas Ali Diwan, Hazeem Baqir Taher, Raed Hameed Chyad Alfilh, Ahmed Mahmood Farhan, Mahmood Farhan Mosleh, Faiz Arith

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Log-Less Metadata Management on Metadata Server for Parallel File Systems by Jianwei Liao, Guoqiang Xiao, Xiaoning Peng

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