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Transportation agencies make critical operational decisions during hazardous weather events, including assessment of road conditions and resource allocation. In this study, machine learning models are developed to provide additional support…

With the advent of self-driving cars and autonomous robots, it is imperative to detect road impairments like cracks and potholes and to perform necessary evading maneuvers to ensure fluid journey for on-board passengers or equipment. We…

Computer Vision and Pattern Recognition · Computer Science 2018-10-12 Sukhad Anand , Saksham Gupta , Vaibhav Darbari , Shivam Kohli

Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall traffic management. This paper presents a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Victor Adewopo , Nelly Elsayed , Zag Elsayed , Murat Ozer , Victoria Wangia-Anderson , Ahmed Abdelgawad

Understanding driving behaviors is essential for improving safety and mobility of our transportation systems. Data is usually collected via simulator-based studies or naturalistic driving studies. Those techniques allow for understanding…

Artificial Intelligence · Computer Science 2018-01-15 Josh Warren , Jeff Lipkowitz , Vadim Sokolov

Road maintenance is an essential process for guaranteeing the quality of transportation in any city. A crucial step towards effective road maintenance is the ability to update the inventory of the road network. We present a proof of concept…

Computer Vision and Pattern Recognition · Computer Science 2022-10-03 Nicolas Parra-A , Vladimir Vargas-Calderón , Herbert Vinck-Posada , Nicanor Vinck

In a smart city, real-time traffic sensors may be deployed for various applications, such as route planning. Unfortunately, sensors are prone to failures, which result in erroneous traffic data. Erroneous data can adversely affect…

Artificial Intelligence · Computer Science 2017-03-17 Amin Ghafouri , Aron Laszka , Abhishek Dubey , Xenofon Koutsoukos

Maintaining the roadway infrastructure is one of the essential factors in enabling a safe, economic, and sustainable transportation system. Manual roadway damage data collection is laborious and unsafe for humans to perform. This area is…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Vung Pham , Du Nguyen , Christopher Donan

Monitoring states of road surfaces provides valuable information for the planning and controlling vehicles and active vehicle control systems. Classical road monitoring methods are expensive and unsystematic because they require time for…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Mustafa Demetgul , Sanja Lazarova Molnar

This is a no brainer. Using bicycles to commute is the most sustainable form of transport, is the least expensive to use and are pollution-free. Towns and cities have to be made bicycle-friendly to encourage their wide usage. Therefore,…

Computers and Society · Computer Science 2017-12-18 Nipun Wijerathne , Sanjana Kadaba Viswanath , Marakkalage Sumudu Hasala , Victoria Beltran , Chau Yuen , Hock Beng Lim

Speeding is a major contributor to road fatalities, particularly in developing countries such as Uganda, where road safety infrastructure is limited. This study proposes a real-time intelligent traffic surveillance system tailored to such…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Bruce Mugizi , Sudi Murindanyi , Olivia Nakacwa , Andrew Katumba

The use of mobiles phones when driving have been a major factor when it comes to road traffic incidents and the process of capturing such violations can be a laborious task. Advancements in both modern object detection frameworks and…

Computer Vision and Pattern Recognition · Computer Science 2021-10-11 Steven Carrell , Amir Atapour-Abarghouei

Many municipalities and road authorities seek to implement automated evaluation of road damage. However, they often lack technology, know-how, and funds to afford state-of-the-art equipment for data collection and analysis of road damages.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Deeksha Arya , Hiroya Maeda , Sanjay Kumar Ghosh , Durga Toshniwal , Alexander Mraz , Takehiro Kashiyama , Yoshihide Sekimoto

Road traffic injuries are the leading cause of death for people aged 5-29, resulting in about 1.19 million deaths each year. To reduce these fatalities, it is essential to address human errors like speeding, drunk driving, and distractions.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Walter Zimmer , Ross Greer , Xingcheng Zhou , Rui Song , Marc Pavel , Daniel Lehmberg , Ahmed Ghita , Akshay Gopalkrishnan , Mohan Trivedi , Alois Knoll

Research on damage detection of road surfaces using image processing techniques has been actively conducted, achieving considerably high detection accuracies. Many studies only focus on the detection of the presence or absence of damage.…

Computer Vision and Pattern Recognition · Computer Science 2020-01-24 Hiroya Maeda , Yoshihide Sekimoto , Toshikazu Seto , Takehiro Kashiyama , Hiroshi Omata

Poor roads are a major issue for cars, drivers, and pedestrians since they are a major cause of vehicle damage and can occasionally be quite dangerous for both groups of people (pedestrians and drivers), this makes road surface condition…

Machine Learning · Computer Science 2024-05-28 Makgotso Jacqueline Maotwana

Each year, around 6 million car accidents occur in the U.S. on average. Road safety features (e.g., concrete barriers, metal crash barriers, rumble strips) play an important role in preventing or mitigating vehicle crashes. Accurate maps of…

Computer Vision and Pattern Recognition · Computer Science 2019-07-31 Arpan Sainju , Zhe Jiang

Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Sulaiman Khan , Hazrat Ali , Zia Ullah , Mohammad Farhad Bulbul

A significant number of traffic crashes are secondary crashes that occur because of an earlier incident on the road. Thus, early detection of traffic incidents is crucial for road users from safety perspectives with a potential to reduce…

Computers and Society · Computer Science 2026-02-10 Sudipta Roy , Samiul Hasan

Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many people. However, some of its main drawbacks are traffic jams and accidents. Newly made vehicles have pre-installed driving evaluation systems, which…

Human-Computer Interaction · Computer Science 2026-04-17 Oscar Romero , Aika Silveira Miura , Lorena Parra , Jaime Lloret

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