[HTML][HTML] Fuel consumption and CO2 emissions from passenger cars in Europe–Laboratory versus real-world emissions

G Fontaras, NG Zacharof, B Ciuffo - Progress in energy and combustion …, 2017 - Elsevier
Official laboratory-measured monitoring data indicate a progressive decline in the average
fuel consumption and CO 2 emissions of the European passenger car fleet. There is …

A review of research on traffic conflicts based on intelligent vehicles

L Hu, J Ou, J Huang, Y Chen, D Cao - Ieee Access, 2020 - ieeexplore.ieee.org
The traffic situation at an urban intersection is complicated, due to the numerous internal
conflicts and all kinds of traffic accidents. With the objective of improving road safety, the …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

An IoT-enabled intelligent automobile system for smart cities

VG Menon, S Jacob, S Joseph, P Sehdev, MR Khosravi… - Internet of Things, 2022 - Elsevier
In our world of advancing technologies, automobiles are one industry where we can see
improved ergonomics and feature progressions. Artificial Intelligence (AI) integrated with …

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 …

[PDF][PDF] DisNet: A novel method for distance estimation from monocular camera

MA Haseeb, J Guan, D Ristic-Durrant… - … Planning, Perception and …, 2018 - project.inria.fr
In this paper, a machine learning setup that provides the obstacle detection system with a
method to estimate the distance from the monocular camera to the object viewed with the …

Study on the driving style adaptive vehicle longitudinal control strategy

J Huang, Y Chen, X Peng, L Hu… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
This paper presents a fusion control strategy of adaptive cruise control (ACC) and collision
avoidance (CA), which takes into account a driverʼ s behavioral style. First, a questionnaire …

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 …

[HTML][HTML] Driving performance and technology acceptance evaluation in real traffic of a smartphone-based driver assistance system

GD Voinea, CC Postelnicu, M Duguleana… - International journal of …, 2020 - mdpi.com
Technological advances are changing every aspect of our lives, from the way we work, to
how we learn and communicate. Advanced driver assistance systems (ADAS) have seen an …

Crowd intelligence for sustainable futuristic intelligent transportation system: a review

R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …