Velocity forecasts using a combined deep learning model in hybrid electric vehicles with V2V and V2I communication
Sign Up to like & getrecommendations! Published in 2019 at "Science China Technological Sciences"
DOI: 10.1007/s11431-018-9396-0
Abstract: Vehicle velocity forecast is an important clue in improving the performance of energy management in hybrid electric vehicles (HEV). This paper presents a new combined model for predicting vehicle’s velocity time series. The main features… read more here.
Keywords: vehicle; electric vehicles; hybrid electric; model ... See more keywords
Nonlinear approximation method of vehicle velocity Vt and statistical population of experimental cases.
Sign Up to like & getrecommendations! Published in 2017 at "Forensic science international"
DOI: 10.1016/j.forsciint.2017.10.032
Abstract: In car crash analysis three calculations methods can be distinguished: analytical (Campbell, McHenry, Strother, Prasad, Crash3 etc.), comparative and graphical (Lindquist et al., 2003; Prasad, 1990; Sharma et al., 2007; Wach and Unarski, 2006; Żuchowski,… read more here.
Keywords: vehicle velocity; velocity statistical; method; nonlinear approximation ... See more keywords
Velocity Prediction of Intelligent and Connected Vehicles for a Traffic Light Distance on the Urban Road
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2882609
Abstract: Accurate vehicle velocity prediction has important theoretical value and widespread applications in many areas, such as optimal control of vehicle propulsion system, eco-driving, and advanced driver assistance systems. However, for dynamic changes of traffic condition… read more here.
Keywords: vehicle; velocity; velocity prediction; traffic ... See more keywords