Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Johannes Geir Kristinsson"'
Autor:
Johannes Geir Kristinsson, Jason Meyer, Fling Tseng, Xipeng Wang, Yuan Ma, Timothy Mark Feldkamp, Junru Di, Yi Li Murphey, Qiu Shiqi
Publikováno v:
INNS Conference on Big Data
Personalized route prediction is an important technology in many applications related to intelligent vehicles and transportation systems. Current route prediction technologies used in many general navigation systems are, by and large, based on either
Autor:
Ryan Abraham McGee, Anthony Mark Phillips, Ming L. Kuang, Jungme Park, Yi Lu Murphey, Johannes Geir Kristinsson
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:1039-1053
Accurate prediction of the traffic information in real time such as flow, density, speed, and travel time has important applications in many areas, including intelligent traffic control systems, optimizing vehicle operations, and the routing selectio
Publikováno v:
Mechanical Engineering. 135:S4-S9
This article introduces opportunities that are seen at the intersection of electrification, connectivity, and smart controls in the automobile industry. Computational Intelligence provides the vehicle the ability to reason, adapt, and learn based on
Autor:
Johannes Geir Kristinsson, Qiu Shiqi, Jason Meyer, Yue Dai, Timothy Mark Feldkamp, Yuan Ma, Yi Lu Murphey, Qianyi Wang, Fling Tseng
Publikováno v:
SSCI
Personal route prediction (PRP) has attracted much research interest recently because of its technical challenges and broad applications in intelligent vehicle and transportation systems. Traditional navigation systems generate a route for a given or
Publikováno v:
ACC
This paper studies a control strategy using path-forecasting for Hybrid Electric Vehicle (HEV) optimal energy management (POEM). In the previous work, a receding horizon control (RHC) approach was developed to solve a dynamic programming (DP) formula
Autor:
Ming Kuang, Johannes Geir Kristinsson, Jungme Park, Yi Lu Murphey, Xipeng Wang, Tony Phillips
Publikováno v:
IJCNN
Speed profile prediction on ramps is a challenging problem because speed changes on ramps involve complicated lane maneuvering and frequent acceleration or deceleration depending on geometry of the ramp and traffic volumes. Ramps can be categorized i
Autor:
Hai Yu, Fazal Urrahman Syed, Johannes Geir Kristinsson, Fling Tseng, Ryan Abraham McGee, Dimitar Petrov Filev, Anthony Mark Phillips
Publikováno v:
SAE Technical Paper Series.
Autor:
Tony Phillips, Dai Li, Yi Lu Murphey, Ming Kuang, Jungme Park, Johannes Geir Kristinsson, Ryan Abraham McGee
Publikováno v:
IJCNN
Prediction of the traffic information such as flow, density, speed, and travel time is important for traffic control systems, optimizing vehicle operations, and the individual driver. Prediction of future traffic information is a challenging problem
Publikováno v:
ACC
For a Plug-in Hybrid-Electric Vehicle (PHEV) a close to linear battery depletion profile is near optimal in terms of fuel economy, given that the driven Distance Until Charge (DUC) is known. However the intended driven distance until charge is not al
Publikováno v:
WICSA
This paper presents a study in using quality attribute scenarios to evaluate and improve the software architecture of a control system that plans and affects energy use on a plug-in hybrid electric vehicle. The study confirmed for us the value of the