Results 211 to 220 of about 91,386 (253)
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A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction
IEEE Transactions on Intelligent Transportation Systems, 2021Mobile 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 +2 more sources
Pattern Recognition for Driving Scenario Detection in Real Driving Data
2020 IEEE Intelligent Vehicles Symposium (IV), 2020For the scenario-based development and testing of automated and connected driving an unknown huge number of different driving scenarios is needed. In this paper we propose an approach that extracts driving scenarios from real driving data without any requirement of predefinitions or rules.
Francesco Montanari +2 more
openaire +1 more source
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
Driving Pattern Recognition Algorithm Using Fast Fourier Transform
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Recognition of driving patterns is widely used in online applications such as advanced driver assistance systems and energy management of electric vehicles or fleet management, vehicle security, insurance policies, vehicle to grid to detect driving conditions and driver behavior.
Iven Güzel, Murat Göl
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Continuous Car Driving Intent Detection Using Structural Pattern Recognition
IEEE Transactions on Intelligent Transportation Systems, 2021The early detection of a driver’s intention prior to the initiation of actual maneuvering is to offer effective means of assisting the driver in times of safety. Conventional approaches in predicting a driver’s intention include framing the motion parameters of the car and driver as well as the eye gaze sequence of the driver into the Hidden Markov ...
Sukhan Lee 0001 +2 more
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Driving Pattern Recognition Based on Improved LDA Model
2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018In recent years, the automobile industry has developed rapidly and the drivers’ unregulated driving behaviors have caused a lot of traffic safety problems. By using the topic model, this paper can find the relationship between driving pattern with driving behavior and provide technical support for traffic safety.
Lingyun Xie, Ying Shi, Zhenwei Li
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Syntactic pattern recognition of car driving behavior detection
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017The necessity of intelligent driver assistance systems in every future car is inevitable with the increased of injuries and fatalities from road accidents. The implementation of a wide array of sensors in a car could be utilized to detect driver's behavior to improve safety.
Mohd Nizam Husen +2 more
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Fuel Consumption Estimates Based on Driving Pattern Recognition
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013Fuel consumption and air pollution caused by transportation is becoming more and more serious. Developing an effective meso model to analyze dynamically the temporal and spatial distribution of fuel consumption in the urban road network has become a research focus.
Xiaohua Zhou +3 more
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Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns
IEEE Transactions on Intelligent Transportation Systems, 2015Driving behavior can be influenced by many factors that are not feasible to collect in driving behavior studies. The research presented in this paper investigates the characteristics of a wide range of driving behaviors linking driving states to the drivers' actions.
Bryan Higgs 0002, Montasir M. Abbas
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Transfer Learning for Driving Pattern Recognition
2019Driving pattern recognition based on driving status features (GPS, gear, and speed etc.) is of central importance in the development of intelligent transportation. While it is expensive and labor intensive to obtain a large amount of labeled driving data in real applications.
Maoying Li +4 more
openaire +1 more source