Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Engin Ozatay"'
Autor:
Nikos Dimokas, Dimitris Margaritis, Sébastien Faye, Ramiro Camino, Orhan Alankuş, Engin Ozatay
Publikováno v:
Smart Energy for Smart Transport ISBN: 9783031237201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25b9a3568d7e0f01ce2c4bc3fde79131
https://doi.org/10.1007/978-3-031-23721-8_21
https://doi.org/10.1007/978-3-031-23721-8_21
Publikováno v:
Control Engineering Practice. 61:244-254
Driving profile of on road vehicles has shown to have significant effect on fuel economy. This paper discusses the development of Pontryagin's Maximum Principle (PMP) based solution to determine the energy optimal velocity profile by incorporating th
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 17:2998-3008
The previous studies have shown that optimizing the driving velocity profiles and route selection based on the availability of the traffic lights' operation information in a traffic network can significantly reduce the individual and cumulative energ
Autor:
John Ottavio Michelini, Jaroslav Pekar, Ondrej Santin, Jaroslav Beran, Engin Ozatay, Anthony D'Amato, Steven Joseph Szwabowski, Dimitar Petrov Filev
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 9:262-274
Autor:
Junbo Jing, Dimitar Petrov Filev, John Ottavio Michelini, Arda Kurt, Umit Ozguner, Engin Ozatay
Publikováno v:
Intelligent Vehicles Symposium
Vehicle speed prediction can benefit a wide range of vehicle control designs, especially for fuel economy applications. This paper shows a computationally light vehicle short term speed predictor designed for on-board implementation, using minimal in
Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution
Autor:
Engin Ozatay, Giorgio Rizzoni, James Wollaeger, Umit Ozguner, Simona Onori, John Ottavio Michelini, Stefano Di Cairano, Dimitar Petrov Filev
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:2491-2505
Driving style, road geometry, and traffic conditions have a significant impact on vehicles' fuel economy. In general, drivers are not aware of the optimal velocity profile for a given route. Indeed, the global optimal velocity trajectory depends on m
Publikováno v:
IFAC Proceedings Volumes. 47:7541-7546
The importance of eco-driving in reducing cumulative fuel consumption of on road vehicles is a well known issue. However, so far a generic algorithm that can globally solve the non-linear optimization problem and still implementable in to the current
Autor:
Dimitar Petrov Filev, John Ottavio Michelini, Umit Ozguner, Engin Ozatay, Arda Kurt, Junbo Jing
Publikováno v:
CDC
In this paper, a vehicle speed controller aiming at minimizing fuel consumption in car-following scenarios is developed. The optimal longitudinal control of torque and brake is calculated and applied under Model Predictive Control (MPC). For a given
Publikováno v:
IFAC Proceedings Volumes. 45:25-32
Feedback control of the engine-out pollutant emissions from diesel engines is a promising approach to relax issues regarding the requirement to fulfill strict limits on the cumulative tail-pipe emissions and regarding the complexity of calibration. T
Publikováno v:
CDC
In this paper, we seek an optimal speed trajectory to minimize fuel consumption of a conventional vehicle on a route consisting of multiple traffic lights. We propose to solve the problem in two stages. In the first stage a high level control algorit