Mariscotti, A.,
Induced Voltage Calculation in Electric Traction Systems:
Simplified Methods, Screening Factors, and Accuracy,
ITS(12), No. 1, March 2011, pp. 201-210.
IEEE DOI
1103
BibRef
Trommer, S.,
Höltl, A.,
Perceived usefulness of eco-driving assistance systems in Europe,
IET-ITS(6), No. 2, 2012, pp. 145-152.
DOI Link
1206
BibRef
Vagg, C.,
Brace, C.J.,
Hari, D.,
Akehurst, S.,
Poxon, J.,
Ash, L.,
Development and Field Trial of a Driver Assistance System
to Encourage Eco-Driving in Light Commercial Vehicle Fleets,
ITS(14), No. 2, 2013, pp. 796-805.
IEEE DOI
1307
driver information systems; onboard driver assistance systems;
visual feedback; Driver behavior
BibRef
Schmitz, M.,
Maag, C.,
Jagiellowicz, M.,
Hanig, M.,
Impact of a combined accelerator-brake pedal solution on efficient
driving,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link
1307
BibRef
Xiang, X.,
Zhou, K.,
Zhang, W.,
Qin, W.,
Mao, Q.,
A Closed-Loop Speed Advisory Model With Driver's Behavior
Adaptability for Eco-Driving,
ITS(16), No. 6, December 2015, pp. 3313-3324.
IEEE DOI
1512
Acceleration
BibRef
Zhang, R.[Rui],
Yao, E.[Enjian],
Eco-driving at signalised intersections for electric vehicles,
IET-ITS(9), No. 5, 2015, pp. 488-497.
DOI Link
1507
electric vehicles
BibRef
Chrenko, D.,
Influence of hybridisation on eco-driving habits using realistic
driving cycles,
IET-ITS(9), No. 5, 2015, pp. 498-504.
DOI Link
1507
behavioural sciences
BibRef
Jin, Q.,
Wu, G.,
Boriboonsomsin, K.,
Barth, M.J.,
Power-Based Optimal Longitudinal Control for a Connected Eco-Driving
System,
ITS(17), No. 10, October 2016, pp. 2900-2910.
IEEE DOI
1610
Acceleration
BibRef
Xu, S.,
Li, S.E.,
Cheng, B.,
Li, K.,
Instantaneous Feedback Control for a Fuel-Prioritized Vehicle
Cruising System on Highways With a Varying Slope,
ITS(18), No. 5, May 2017, pp. 1210-1220.
IEEE DOI
1705
Brakes, Engines, Fuels, Gears, Optimal control, Roads, Vehicles,
Automated vehicle, eco-driving, fuel economy, optimal, control
BibRef
McIlroy, R.C.,
Stanton, N.A.,
Godwin, L.,
Wood, A.P.,
Encouraging Eco-Driving With Visual, Auditory, and Vibrotactile
Stimuli,
HMS(47), No. 5, October 2017, pp. 661-672.
IEEE DOI
1709
Acceleration, Fuels, Gears, Haptic interfaces, Software, Vehicles,
Visualization, Eco-driving, in-vehicle information, multimodal, displays
BibRef
Rolim, C.,
Baptista, P.,
Duarte, G.,
Farias, T.,
Pereira, J.,
Real-Time Feedback Impacts on Eco-Driving Behavior and Influential
Variables in Fuel Consumption in a Lisbon Urban Bus Operator,
ITS(18), No. 11, November 2017, pp. 3061-3071.
IEEE DOI
1711
Acceleration, Companies, Fuels, Performance evaluation,
Real-time systems, Training, Vehicles, Driving behavior, feedback,
fuel consumption, on-board monitoring, urban, buses
BibRef
Guo, L.,
Gao, B.,
Gao, Y.,
Chen, H.,
Optimal Energy Management for HEVs in Eco-Driving Applications Using
Bi-Level MPC,
ITS(18), No. 8, August 2017, pp. 2153-2162.
IEEE DOI
1708
Energy management, Gears, Hybrid electric vehicles,
Optimal control, Torque, Trajectory, Eco-driving,
bi-level model predictive control, energy management, hybrid,
electric, vehicles
BibRef
Ding, F.,
Jin, H.,
On the Optimal Speed Profile for Eco-Driving on Curved Roads,
ITS(19), No. 12, December 2018, pp. 4000-4010.
IEEE DOI
1812
Fuels, Roads, Mathematical model, Engines, Heuristic algorithms,
Vehicle dynamics, Acceleration, Dynamic programming, eco-driving,
optimal control
BibRef
Fredette, D.,
Ozguner, U.,
Dynamic Eco-Driving's Fuel Saving Potential in Traffic: Multi-Vehicle
Simulation Study Comparing Three Representative Methods,
ITS(19), No. 9, September 2018, pp. 2871-2879.
IEEE DOI
1809
Vehicle dynamics, Automobiles, Heuristic algorithms, Roads,
Fuel economy, Intelligent vehicles, Fuel economy,
eco-driving
BibRef
Guo, L.,
Chen, H.,
Liu, Q.,
Gao, B.,
A Computationally Efficient and Hierarchical Control Strategy for
Velocity Optimization of On-Road Vehicles,
SMCS(49), No. 1, January 2019, pp. 31-41.
IEEE DOI
1901
Optimization, Roads, Engines, Fuel economy, Gears, Acceleration,
Optimal control, Eco-driving, efficient computation,
velocity optimization
BibRef
Chen, H.,
Guo, L.,
Ding, H.,
Li, Y.,
Gao, B.,
Real-Time Predictive Cruise Control for Eco-Driving Taking into
Account Traffic Constraints,
ITS(20), No. 8, August 2019, pp. 2858-2868.
IEEE DOI
1908
Fuels, Cruise control, Gears, Real-time systems, Engines, Torque,
Automobiles, Eco-driving, predictive cruise control,
real-time model predictive control
BibRef
Wang, H.L.[Hong-Liang],
Peng, P.[Pai],
Huang, Y.[Yanjun],
Tang, X.L.[Xiao-Lin],
Model predictive control-based eco-driving strategy for CAV,
IET-ITS(13), No. 2, February 2019, pp. 323-329.
DOI Link
1902
BibRef
Xiao, Z.[Zhuang],
Feng, X.Y.[Xiao-Yun],
Wang, Q.Y.[Qing-Yuan],
Sun, P.F.[Peng-Fei],
Eco-driving control for hybrid electric trams on a signalised route,
IET-ITS(14), No. 1, January 2020, pp. 36-44.
DOI Link
2001
BibRef
Yoon, D.D.[Do_Hyun Daniel],
Ayalew, B.[Beshah],
Ivanco, A.[Andrej],
Loiselle, K.[Keith],
Predictive kinetic energy management for an add-on driver assistance
eco-driving of heavy vehicles,
IET-ITS(14), No. 13, 15 December 2020, pp. 1824-1834.
DOI Link
2102
BibRef
Sohn, C.,
Andert, J.,
Nanfah Manfouo, R.N.,
A Driveability Study on Automated Longitudinal Vehicle Control,
ITS(21), No. 8, August 2020, pp. 3273-3280.
IEEE DOI
2008
Acceleration, Engines, Fuels, Vehicles, Calibration, Gears, Vibrations,
Eco-driving, autonomous vehicle control, optimal driving,
fuel economy
BibRef
Wang, Z.,
Wu, G.,
Barth, M.J.,
Cooperative Eco-Driving at Signalized Intersections in a Partially
Connected and Automated Vehicle Environment,
ITS(21), No. 5, May 2020, pp. 2029-2038.
IEEE DOI
2005
BibRef
And:
ITS(21), No. 11, November 2020, pp. 4919-4919.
IEEE DOI
2011
Biological system modeling, Safety, Protocols, Analytical models,
Vehicles, Microscopy, Connected and automated vehicles (CAVs),
mixed traffic
BibRef
Fleming, J.[James],
Yan, X.[Xingda],
Allison, C.[Craig],
Stanton, N.[Neville],
Lot, R.[Roberto],
Real-time predictive eco-driving assistance considering road geometry
and long-range radar measurements,
IET-ITS(15), No. 4, 2021, pp. 573-583.
DOI Link
2106
BibRef
Xia, D.[Dong],
Li, B.[Boyuan],
Zhang, J.[Jie],
Zhang, B.J.[Bang-Ji],
Zhang, N.[Nong],
Ecological cooperative adaptive cruise control of over-actuated
electric vehicles with in-wheel motor in traffic flow,
IET-ITS(15), No. 6, 2021, pp. 765-780.
DOI Link
2106
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Flow Prediction, Forecast .