From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus

S Nan, R Tu, T Li, J Sun, H Chen - Energy, 2022 - Elsevier
Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …

Deep reinforcement learning for personalized driving recommendations to mitigate aggressiveness and riskiness: Modeling and impact assessment

EG Mantouka, EI Vlahogianni - Transportation research part C: emerging …, 2022 - Elsevier
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …

Analysis of user's comfort on automated vehicle riding simulation using subjective and objective measurements

MNAM Norzam, J Karjanto, NM Yusof… - Automotive …, 2022 - journal.unimma.ac.id
The naturalistic study investigated the potential influence of personal driving preferences
(assertive and defensive driving style) on users; comfort when being driven in an automated …

[HTML][HTML] Feasibility study of personalized speed adaptation method based on mental state for teleoperated robots

T Zhang, X Zhang, Z Lu, Y Zhang, Z Jiang… - Frontiers in …, 2022 - frontiersin.org
The teleoperated robotic system can support humans to complete tasks in high-risk, high-
precision and difficult special environments. Because this kind of special working …

[HTML][HTML] Design of an estimator using the artificial neural network technique to characterise the braking of a motor vehicle

M Garrosa, E Olmeda, V Díaz, MF Mendoza-Petit - Sensors, 2022 - mdpi.com
Automatic systems are increasingly being applied in the automotive industry to improve
driving safety and passenger comfort, reduce traffic and increase energy efficiency. The …

A Long-Distance Smart Driving Service Based on Floating Car Data and Open Data

D Escuín, L Polo, D Ciprés, C Millán, J Carcas - IEEE Access, 2022 - ieeexplore.ieee.org
The purpose of this manuscript is to present the Smart Driving Service (SDS), a customized
mobile application, and a complex microservices framework intended not only for …

[HTML][HTML] Hybrid research platform for fundamental and empirical modeling and analysis of energy management of shared electric vehicles

M Koreny, P Simonik, T Klein, T Mrovec, JJ Ligori - Energies, 2022 - mdpi.com
This article presents the results of the development of a hybrid research platform for
fundamental and empirical modeling and analysis of energy management of shared electric …

[HTML][HTML] The indicator of GDI engine operating mode and its influence on eco-driving

GM Pawlak, Z Wołczyński - Applied Sciences, 2022 - mdpi.com
Featured Application The work results can be applied in the training of eco-driving and the
development of driver assistance systems. Abstract Elements of car construction, especially …

[PDF][PDF] Driving Events Identification and Operational Parameters Correlation based on the Analysis of OBD-II Timeseries.

D Rimpas, AE Papadakis - VEHITS, 2022 - scitepress.org
On board diagnostics, OBD-II, allowsmonitoring and understanding of the engine operations
through continuous access to engine sensors, detection and diagnosis of errors. In this work …

A Review on Driving Styles and Non-Driving Related Tasks in Automated Vehicle

M Norzam, J Karjanto, NM Yusof, MZ Hasan… - Journal of the Society of …, 2022 - jsaem.my
Until today, most passengers would still feel uncomfortable and experience motion sickness,
in the worst case, when doing activities such as reading and using portable devices inside a …