Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y **ng, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems

R Sethuraman, S Sellappan, J Shunmugiah… - Expert Systems with …, 2023 - Elsevier
Abstract Advanced Driver Assistance System (ADAS) is a Cyber-Physical System (CPS)
application mainly developed for human–machine interaction. We employ the CPS …

Micro-safe: Microservices-and deep learning-based safety-as-a-service architecture for 6G-enabled intelligent transportation system

C Roy, R Saha, S Misra, K Dev - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we propose a microservices and deep learning-based scheme, termed as
Micro-Safe, for provisioning Safety-as-a-Service (Safe-aaS) in a 6G environment. A Safe …

Driving visual saliency prediction of dynamic night scenes via a spatio-temporal dual-encoder network

T Deng, L Jiang, Y Shi, J Wu, Z Wu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driving at night is more challenging and dangerous than driving during the day. Modeling
driver eye movement and attention allocation during night driving can help guide unmanned …

[HTML][HTML] Bayesian nash equilibrium based gaming model for eco-safe driving

N Jain, S Mittal - Journal of King Saud University-Computer and …, 2022 - Elsevier
Eco-safe driving is a driving style equally oriented towards both fuel-saving and safety.
Existing studies have proposed feedback and alerting systems to sensitize a driver towards …

Data analytics to support a smart fleet management strategy

L Pozueco, N Gupta, XG Pañeda… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
The correct application of efficient and safe driving techniques plays an important role for
professional drivers. Monitoring and analyzing driving data can promote changes in the …

A gamification-based system of driving training and its evaluation

X Li, Y Huang, P Chen, P Zhang, Z Kang - Multimedia Tools and …, 2024 - Springer
Driving training is essential to ensure road safety. Gamification is effective in improving
training outcomes. This study explored the system design and development of a gamification …

Dec-Safe: Dynamic Decision Generation Mechanism for Delivering Safety Services in Vehicular Networks

P Pradhan, C Roy, S Misra… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this work, a real-time decision generation mechanism, termed as Dec-Safe, is proposed
for delivering adaptive safety-linked decisions dynamically to the customers/users. None of …

Opti-Safe: Optimal Supply and Demand For Providing Safety Services in SIoV Environment

C Roy, P Paritosh, S Misra… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, we propose a mechanism, termed as Opti-Safe, such that the demand of end-
users and supply of mobile sensor nodes is fulfilled in a Safety-as-a-Service (Safe-aaS) …

IoT-based safety management for road transportation

C Roy, P Paritosh, R Lavanya, P Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
The alarming rate of rise in road accidents throughout the world has led to the necessity for
driver monitoring systems and other safety measures to be followed by them while driving …