Results 21 to 30 of about 428,792 (296)
A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction
IEEE Transactions on Intelligent Transportation Systems, 2021 Mobile telematics is a relatively new innovation that involves collecting data on driving behavior using the internal sensors in a smartphone rather than from an in-vehicle data recorder. However, telematics data are usually not labeled, which makes extracting driving patterns from them very difficult.
Mohammad Siami +2 more
exaly +3 more sources
Driving pattern recognition using mobile telematics
International journal of health sciences, 2022 Mobile Telematics is an application that enables it’s users to detect driving behavior through sensors that already exist on a common smart phone device. Sensors such as Gyroscopes, GPS, Radio-Positioning, Existing Cameras, Location APIs, etc will help detect and identify valuable pieces of information, this can then be used to create unsupervised ...
S. Priya, Pranav Shyam
openaire +2 more sources
Recognition of the Driving Style in Vehicle Drivers [PDF]
Sensors, 2020 This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles ...
Jorge Cordero +4 more
doaj +3 more sources
Sustainability, 2022 To improve the performance of predictive energy management strategies for hybrid passenger vehicles, this paper proposes an Encoder–Decoder (ED)-based velocity prediction modelling system coupled with driving pattern recognition.
Diming Lou +4 more
semanticscholar +2 more sources
Energies, 2022 The Equivalent Consumption Minimization Strategy (ECMS) is a well-known control strategy for the definition of optimal power-split in hybrid-electric vehicles, because of its effectiveness and reduced calibration effort. In this kind of Energy Management
Alessandro Zanelli +4 more
doaj +2 more sources
Learning Driving Behavior by Timed Syntactic Pattern Recognition.
, 2011 We advocate the use of an explicit time representation in syntactic pattern recognition because it can result in more succinct models and easier learning problems. We apply this approach to the real-world problem of learning models for the driving behavior of truck drivers. We discretize the values of onboard sensors into simple events.
Sicco Verwer +2 more
core +5 more sources
Electronics, 2023 This paper proposes an energy management strategy for a series hybrid electric vehicle based on driving pattern recognition, driving condition prediction, and model predictive control to improve the fuel consumption while maintain the state of charge of ...
Jinna Hao, Shumin Ruan, Wei Wang
semanticscholar +2 more sources
Pattern recognition and simulation in ecology [PDF]
Computational Ecology and Software, 2015 In ecology, the patterns usually refer to all kinds of nonrandom spatial and temporal structures of ecosystems driving by multiple ecological processes.
Xiaozhuo Han, Meng Gao, Cang Hui
doaj +2 more sources
International Journal of Energy Research, 2019 To improve the economic performance of dual‐motor battery electric vehicles, a novel driving pattern recognition–based energy management strategy (NDPREMS) is proposed in this paper.
Jianjun Hu, Xiyuan Niu
exaly +2 more sources
Fuzzy Logic Based Driving Pattern Recognition for Driving Cycle Analysis
Journal of Asian Electric Vehicles, 2004 Conducting driving cycle analysis (DCA) using trip data collected from vehicles operated in the field is very difficult. In fact, no comprehensive approach has been conceived to date, except those using standard driving cycles. A successful DCA could significantly enhance our understanding of vehicle performance and readily relate it to real-life ...
Bor Yann Liaw
exaly +3 more sources