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Published in 2017 at "Applied ergonomics"
DOI: 10.1016/j.apergo.2016.08.001
Abstract: While in-vehicle eco-driving support systems have the potential to reduce greenhouse gas emissions and save fuel, they may also distract drivers, especially if the system makes use of a visual interface. The objective of this…
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Keywords:
glance behaviour;
eco driving;
system;
study ... See more keywords
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Published in 2021 at "Energy research and social science"
DOI: 10.1016/j.erss.2021.102007
Abstract: Abstract This article presents results from a randomized controlled eco-driving experiment with differential treatment between two groups of truck drivers in Norway. Using data from in-vehicle devices, we investigate whether eco-driving interventions (a course, active…
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Keywords:
truck drivers;
drivers norway;
follow ups;
fuel ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.10.036
Abstract: Abstract We present an approach allowing us to compare the energy consumption of an electric vehicle (EV) in different maneuvers of driving scenarios. This approach is used in order to estimate the potential of Eco-driving…
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Keywords:
eco driving;
energy;
maneuvers electric;
energy analysis ... See more keywords
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Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.06.018
Abstract: Abstract This paper discusses cooperation applied to a platoon of electric vehicles using an Eco-Driving Optimal Controller (EDOC). The proposed algorithm is evaluated in terms of energy efficiency and string compactness in comparison with the…
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Keywords:
efficiency string;
eco driving;
energy efficiency;
string stability ... See more keywords
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Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.04.036
Abstract: The energy-efficient train operation methodology is the focus of this paper, and a Q-Learning-based eco-driving approach is proposed. Firstly, the core idea of energy-distribution-based method (EDBM) that converts the eco-driving problem to the finite Markov…
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Keywords:
state;
energy distribution;
eco driving;
learning approach ... See more keywords
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Published in 2018 at "Theoretical Issues in Ergonomics Science"
DOI: 10.1080/1463922x.2018.1484967
Abstract: Abstract Eco-driving has been proposed as an approach to significantly reduce greenhouse gas emissions arising from personal automobile use. Eco-driving is the adoption of a measured driving style, minimising unnecessary breaking and aggressive acceleration. Eco-driving…
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Keywords:
eco driving;
long term;
reducing emissions;
driving role ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939837
Abstract: The regulations for diesel vehicles are expected to become increasingly more stringent. However, how to coordinate eco-driving, the diesel engine and the urea selective catalytic reduction (urea-SCR) system for fuel economy improvement and emissions reduction…
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Keywords:
optimization;
control;
method;
fuel economy ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3036719
Abstract: With the development of autonomous vehicles, research on energy-efficient eco-driving is becoming increasingly important. The optimal control problem of determining the speed profile of the vehicle for minimizing energy consumption is a challenging problem that…
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Keywords:
control;
reinforcement learning;
model based;
model ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3075455
Abstract: Current research on eco-driving has focused on solving an optimal control problem (OCP) to generate a speed profile to be tracked by drivers. The optimization variables are often chosen as low level control actions such…
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Keywords:
driving mode;
reaction delay;
eco driving;
mode advice ... See more keywords
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3095267
Abstract: The problems of bus bunching mitigation and of the energy management of groups of vehicles are traditionally treated separately in the literature, and formulated in two different frameworks. The present work bridges this gap by…
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Keywords:
bunching mitigation;
eco driving;
control;
bilevel optimization ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145453
Abstract: We consider a signalized intersection under a partially connected automated vehicle (CAV) environment. There is a control center for the control zone that needs to predict the trajectories of human driving vehicles (HDVs) and control…
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Keywords:
partially connected;
driving strategy;
signalized intersection;
control ... See more keywords