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Recent studies have pointed out the importance of mitigating drivers stress and negative emotions. These studies show that certain road objects such as big vehicles might be associated with higher stress levels based on drivers subjective…

Human-Computer Interaction · Computer Science 2022-05-24 Arash Tavakoli , Arsalan Heydarian

We propose a data-driven methodology for evaluating the impact of the introduction of a speed limit on the punctuality of bus services. In particular, we use high-frequency Automatic Vehicle Location data to parameterise a model that…

Computers and Society · Computer Science 2015-11-18 Daniël Reijsbergen , Rajeev Ratan

Artificial intelligence systems are now deployed at scale across sectors, accompanied by a growing number of real-world incidents ranging from misinformation and cybercrime to autonomous-system failures. Databases of AI incidents index…

Computers and Society · Computer Science 2026-04-23 Sophia Abraham , Taiye Chen , Cyril Chhun , Giovanna Jaramillo-Gutierrez , Simon Mylius , Sayash Raaj , Peter Slattery , Sean McGregor

Gun violence is a critical public health and safety concern in the United States. There is considerable variability in policy proposals meant to curb gun violence, ranging from increasing gun availability to deter potential assailants…

In light of the recent humongous growth of the human population worldwide, there has also been a voluminous and uncontrolled growth of vehicles, which has consequently increased the number of road accidents to a large extent. In lieu of a…

Software Engineering · Computer Science 2011-11-08 Jagannath Aghav , Ashwin Tumma

Diabetes is a major public health challenge worldwide. Abnormal physiology in diabetes, particularly hypoglycemia, can cause driver impairments that affect safe driving. While diabetes driver safety has been previously researched, few…

Driving information and data under potential vehicle crashes create opportunities for extensive real-world observations of driver behaviors and relevant factors that significantly influence the driving safety in emergency scenarios.…

Signal Processing · Electrical Eng. & Systems 2020-04-30 Liqun Peng , Miguel Angel Sotelo , Yi He , Yunfei Ai , Zhixiong Li

Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary outcomes, which offer limited actionable insights for real-time driver feedback. These approaches often lack continuous…

Machine Learning · Computer Science 2026-04-01 Joyjit Roy , Samaresh Kumar Singh , Sushanta Das

Vehicles passengers and other traffic participants are protected more and more by integral safety systems. They continuously perceive the vehicles environment to prevent dangerous situations by e.g. emergency braking systems. Furthermore,…

Software Engineering · Computer Science 2014-08-26 Christian Berger , Delf Block , Christian Hons , Stefan Kühnel , André Leschke , Bernhard Rumpe , Torsten Strutz

In 2015, 391,000 people were injured due to distracted driving in the US. One of the major reasons behind distracted driving is the use of cell-phones, accounting for 14% of fatal crashes. Social media applications have enabled users to…

Social and Information Networks · Computer Science 2019-12-11 Hemank Lamba , Shashank Srikanth , Dheeraj Reddy Pailla , Shwetanshu Singh , Karandeep Juneja , Ponnurangam Kumaraguru

Roadway traffic accidents represent a global health crisis, responsible for over a million deaths annually and costing many countries up to 3% of their GDP. Traditional traffic safety studies often examine risk factors in isolation,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Ahmad Elallaf , Nathan Jacobs , Xinyue Ye , Mei Chen , Gongbo Liang

The emerging technology of Vehicle-to-Vehicle (V2V) communication over vehicular ad hoc networks promises to improve road safety by allowing vehicles to autonomously warn each other of road hazards. However, research on other transportation…

Computer Science and Game Theory · Computer Science 2022-07-15 Brendan T. Gould , Philip N. Brown

Tribal lands in the United States have consistently exhibited higher crash rates and injury severities compared to other regions. To address this issue, effective data-driven safety analysis methods are essential for resource allocation and…

Applications · Statistics 2023-08-17 Tianyi Chen , Haotian Shi , Steven T. Parker , Glenn Vorhes , David A Noyce , Bin Ran

Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for…

Considering high speed following on expressway or highway, an improved car-following model is developed in this paper by introducing variable safety headway distance. Stability analysis of the new model is carried out using the control…

Numerical Analysis · Computer Science 2015-06-22 Yuhan Jia , Jianping Wu , Yiman Du

Risky drivers account for 70% of fatal accidents in the United States. With recent advances in sensors and intelligent vehicular systems, there has been significant research on assessing driver behavior to improve driving experiences and…

Machine Learning · Computer Science 2023-08-28 Bikram Adhikari

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians being particularly vulnerable in vehicle-pedestrian crashes due to disparities in physical and performance characteristics. This study employs…

Machine Learning · Computer Science 2025-03-25 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah

Improving road safety and setting targets for reducing traffic-related crashes and deaths are highlighted as part of the United Nation's sustainable development goals and vision zero efforts around the globe. The advent of transportation…

General Economics · Economics 2021-03-22 Eleftheria Kontou , Noreen C. McDonald

Urban highways are common, especially in the US, making cities more car-centric. They promise the annihilation of distance but obstruct pedestrian mobility, thus playing a key role in limiting social interactions locally. Although this…

Physics and Society · Physics 2025-03-07 Luca Maria Aiello , Anastassia Vybornova , Sándor Juhász , Michael Szell , Eszter Bokányi

Driving safety analysis has recently experienced unprecedented improvements thanks to technological advances in precise positioning sensors, artificial intelligence (AI)-based safety features, autonomous driving systems, connected vehicles,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Xiwen Chen , Hao Wang , Abolfazl Razi , Brendan Russo , Jason Pacheco , John Roberts , Jeffrey Wishart , Larry Head , Alonso Granados Baca
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