Results 11 to 20 of about 428,792 (296)
An Intelligent Multimode Clustering Mechanism Using Driving Pattern Recognition in Cognitive Internet of Vehicles [PDF]
Sensors, 2021 Connected autonomous vehicles can leverage communication and artificial intelligence technologies to effectively overcome the perceived limitations of individuals and enhance driving safety and stability.
Huigang Chang, Nianwen Ning
doaj +7 more sources
IEEE Open Journal of Intelligent Transportation Systems, 2023 This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding ...
Dimitrios I. Tselentis +1 more
doaj +5 more sources
Energies, 2017 The driving pattern has an important influence on the parameter optimization of the energy management strategy (EMS) for hybrid electric vehicles (HEVs).
Zhenzhen Lei +5 more
doaj +5 more sources
CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition [PDF]
IEEE Access, 2019 Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie +3 more
doaj +7 more sources
Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios [PDF]
AlgorithmsEnergy management strategies (EMS) in the context of electric or hybrid vehicles can optimize the available energy by minimizing consumption. Most optimization-based EMS are not real-time-applicable for an accurate estimation of future consumption.
Bedatri Moulik +2 more
doaj +5 more sources
Actuators, 2023 The primary objective of an energy management strategy is to achieve optimal fuel economy through proper energy distribution. The adoption of a fuzzy energy management strategy is hindered due to different reasons, such as uncertainties surrounding its ...
Changyin Wei +4 more
doaj +3 more sources
Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes
IEEE Transactions on Cybernetics, 2022 Driving pattern recognition based on features, such as GPS, gear, and speed information, is essential to develop intelligent transportation systems. However, it is usually expensive and labor intensive to collect a large amount of labeled driving data from real-world driving scenes.
Liu Yang, Chenyang Shen, Qinghua Hu
exaly +5 more sources
3D-CNN Method for Drowsy Driving Detection Based on Driving Pattern Recognition
ElectronicsDrowsiness impairs drivers’ concentration and reaction time, doubling the risk of car accidents. Various methods for detecting drowsy driving have been proposed that rely on facial changes. However, they have poor detection for drivers wearing a mask or sunglasses, and they do not reflect the driver’s drowsiness habits. Therefore, this paper proposes a
Jimin Lee, Soomin Woo, Changjoo Moon
semanticscholar +3 more sources
Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information [PDF]
ISPRS International Journal of Geo-Information, 2022 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.
Oscar Romero +3 more
doaj +4 more sources
Study of HEV Power Management Control Strategy Based on Driving Pattern Recognition [PDF]
Energy Procedia, 2016 In this work, an optimized HEV power management fuzzy control strategy is proposed with the aim to further improve the fuel efficiency of the rule-based control strategy and overcome the drawbacks of the conventional control strategies. The driving pattern recognition method is used to classify the driving condition into one of the driving patterns to ...
Wei, Zhen, Xu, Z., Halim, Dunant
semanticscholar +4 more sources