Towards connected autonomous driving: review of use-cases

U Montanaro, S Dixit, S Fallah, M Dianati… - Vehicle system …, 2019 - Taylor & Francis
Connected autonomous vehicles are considered as mitigators of issues such as traffic
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …

Autonomous vehicles: state of the art, future trends, and challenges

P Mallozzi, P Pelliccione, A Knauss, C Berger… - Automotive systems and …, 2019 - Springer
Autonomous vehicles are considered to be the next big thing. Several companies are racing
to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for …

An enabling tire-road friction estimation method for four-in-wheel-motor-drive electric vehicles

L Zhang, P Guo, Z Wang, X Ding - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a particle filter (PF)-based tire-road friction estimation method is proposed for
four-in-wheel-motor-drive electric vehicles (FIWMD EVs) by synthetically using the dual …

Machine learning algorithms used in PSE environments: A didactic approach and critical perspective

LF Fuentes-Cortés, A Flores-Tlacuahuac… - Industrial & …, 2022 - ACS Publications
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

Estimation of tire–road friction for road vehicles: a time delay neural network approach

AM Ribeiro, A Moutinho, AR Fioravanti… - Journal of the Brazilian …, 2020 - Springer
The performance of vehicle active safety systems is dependent on the friction force arising
from the contact of tires and the road surface. Therefore, an adequate knowledge of the tire …

These maps are made for walking: Real-time terrain property estimation for mobile robots

P Ewen, A Li, Y Chen, S Hong… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
The equations of motion governing mobile robots are dependent on terrain properties such
as the coefficient of friction, and contact model parameters. Estimating these properties is …

[HTML][HTML] Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques

M Hatamzad, GCP Pinerez, J Casselgren - Knowledge-Based Systems, 2022 - Elsevier
Abstract Since Winter Road Maintenance (WRM) is an important activity in Nordic countries,
accurate intelligent cost-effective WRM can create precise advance plans for developing …

[HTML][HTML] Beyond connected cars: A systems of systems perspective

P Pelliccione, E Knauss, SM Ågren, R Heldal… - Science of Computer …, 2020 - Elsevier
The automotive domain is rapidly changing in the last years. Among the different challenges
OEMs (ie the vehicle manufacturers) are facing, vehicles are evolving into systems of …

A review on the impacts of connected vehicles on pavement management systems

MS Entezari, A Golroo - International Journal of Pavement …, 2023 - Taylor & Francis
The advent of connected vehicles (CVs) starts a new era in the field of pavement evaluation.
With CVs on roads, the wide fleet of vehicles will constantly transmit pavement data to …

[HTML][HTML] A state-of-the-art review of measurement and modelling of skid resistance: The perspective of developing nation

A Kumar, T Tang, A Gupta, K Anupam - Case Studies in Construction …, 2023 - Elsevier
A critical review of lab and field measurement methodologies, harmonization in measuring
techniques, and modelling of skid resistance of asphalt concrete pavement have been …