首页|Study Findings from Hefei University of Technology Advance Knowledge in Support Vector Machines (Driving style recognition considering speeding behavior under d ifferent working conditions)
Study Findings from Hefei University of Technology Advance Knowledge in Support Vector Machines (Driving style recognition considering speeding behavior under d ifferent working conditions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on are presented in a new report. Acco rding to news reporting out of Hefei, People's Republic of China, by NewsRx edit ors, research stated, "The driving style of the driver has a significant impact on the safety of vehicle operation." Financial supporters for this research include Anhui New Energy Vehicle Industry Innovation Development Project; The Fundamental Research Funds For The Central Universities of China; Science And Technology Program of Wuhu. Our news editors obtained a quote from the research from Hefei University of Tec hnology: "This paper proposes a driving style recognition model that takes into account speeding behavior, aiming to improve the accuracy of driving style recog nition. Initially, vehicle operation data is collected through onroad experimen ts with drivers. Subsequently, feature parameters related to driving conditions are extracted from the vehicle operation data, and dimensionality reduction is a pplied to these parameters. The principal components extracted are then utilized as inputs for the particle swarm optimization support vector machine algorithm to determine driving conditions. This information is used to establish the speed ing threshold, which is then used to calculate the number of speeding occurrence s and the longest speeding time as evaluation indicators. These indicators are i ntegrated into a comprehensive evaluation system comprising 18 evaluation criter ia to improve the accuracy of driving style recognition."
Hefei University of TechnologyHefeiPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine Lear ningParticle Swarm OptimizationSupport Vector MachinesVector Machines
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