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
Khayyer, P.,
Ozguner, U.,
Adaptive Estimation of Energy Factors in an Intelligent Convoy of
Vehicles,
ITS(16), No. 6, December 2015, pp. 3204-3212.
IEEE DOI
1512
Energy consumption
BibRef
Neumann, I.,
Franke, T.,
Cocron, P.,
Bühler, F.,
Krems, J.F.,
Eco-driving strategies in battery electric vehicle use- how do
drivers adapt over time?,
IET-ITS(9), No. 7, 2015, pp. 746-753.
DOI Link
1509
BibRef
And:
Erratum:
IET-ITS(9), No. 7, 2015, pp. 782-782.
DOI Link
1509
battery powered vehicles
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
Guo, C.[Chenjuan],
Yang, B.[Bin],
Andersen, O.[Ove],
Jensen, C.S.[Christian S.],
Torp, K.[Kristian],
EcoMark 2.0: empowering eco-routing with vehicular environmental models
and actual vehicle fuel consumption data,
GeoInfo(19), No. 3, July 2015, pp. 567-599.
WWW Link.
1505
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
Sanjust di Teulada, B.,
Meloni, I.,
Individual Persuasive Eco-travel Technology, a mobile persuasive
application for implementing voluntary travel behaviour change
programmes,
IET-ITS(10), No. 4, 2016, pp. 237-243.
DOI Link
1606
air pollution
BibRef
Abousleiman, R.,
Rawashdeh, O.,
Electric vehicle modelling and energy-efficient routing using
particle swarm optimisation,
IET-ITS(10), No. 2, 2016, pp. 65-72.
DOI Link
1602
electric vehicles
BibRef
Liang, K.Y.,
Mårtensson, J.,
Johansson, K.H.,
Heavy-Duty Vehicle Platoon Formation for Fuel Efficiency,
ITS(17), No. 4, April 2016, pp. 1051-1061.
IEEE DOI
1604
Acceleration
BibRef
Liu, Y.Q.[Ya-Qiong],
Seah, H.S.[Hock Soon],
Shou, G.[Guochu],
Constrained energy-efficient routing in time-aware road networks,
GeoInfo(21), No. 1, January 2017, pp. 89-117.
WWW Link.
1701
BibRef
Hu, J.L.[Ji-Lin],
Yang, B.[Bin],
Jensen, C.S.[Christian S.],
Ma, Y.[Yu],
Enabling time-dependent uncertain eco-weights for road networks,
GeoInfo(21), No. 1, January 2017, pp. 57-88.
WWW Link.
1701
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
Yi, Z.,
Bauer, P.H.,
Optimal Stochastic Eco-Routing Solutions for Electric Vehicles,
ITS(19), No. 12, December 2018, pp. 3807-3817.
IEEE DOI
1812
Roads, Routing, Mathematical model, Energy consumption,
Decision making, Electric vehicles, Environmental factors,
electric drive limits
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
Qi, X.,
Wang, P.,
Wu, G.,
Boriboonsomsin, K.,
Barth, M.J.,
Connected Cooperative Ecodriving System Considering Human Driver
Error,
ITS(19), No. 8, August 2018, pp. 2721-2733.
IEEE DOI
1808
Vehicles, Energy consumption, Acceleration, Fuels, Markov processes,
Intelligent vehicles, advanced driver assistance systems,
ecodriving
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.J.[Yan-Jun],
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
Guo, G.,
Wang, Q.,
Fuel-Efficient En Route Speed Planning and Tracking Control of Truck
Platoons,
ITS(20), No. 8, August 2019, pp. 3091-3103.
IEEE DOI
1908
Planning, Roads, Stability analysis, Heuristic algorithms,
Automobiles, Fuels, Drag, Vehicle platoon, en route planning,
receding dynamic programming
BibRef
Typaldos, P.,
Papamichail, I.,
Papageorgiou, M.,
Minimization of Fuel Consumption for Vehicle Trajectories,
ITS(21), No. 4, April 2020, pp. 1716-1727.
IEEE DOI
2004
Fuels, Optimal control, Acceleration, Trajectory, Engines, Drag,
Smoothing methods, Eco driving, fuel consumption, GLOSA
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
Liu, J.H.[Jun-Hui],
Feng, L.[Lei],
Li, Z.W.[Zhi-Wu],
Optimal road grade design based on stochastic speed trajectories for
minimising transportation energy consumption,
IET-ITS(15), No. 11, 2021, pp. 1414-1428.
DOI Link
2110
BibRef
Fiori, C.,
Marzano, V.,
Punzo, V.,
Montanino, M.,
Energy Consumption Modeling in Presence of Uncertainty,
ITS(22), No. 10, October 2021, pp. 6330-6341.
IEEE DOI
2110
Energy consumption, Uncertainty, Mathematical model,
Analytical models, Sensitivity analysis, Load modeling, Roads,
regionalized sensitivity analysis
BibRef
Yang, X.F.T.[Xian-Feng Terry],
Huang, K.[Ke],
Zhang, Z.[Zhehao],
Zhang, Z.A.[Zhao Alan],
Lin, F.[Fang],
Eco-Driving System for Connected Automated Vehicles:
Multi-Objective Trajectory Optimization,
ITS(22), No. 12, December 2021, pp. 7837-7849.
IEEE DOI
2112
Biological system modeling, Optimization, Fuels, Traffic control,
Real-time systems, Trajectory, Planning, Eco-drive,
fuel consumption minimization
BibRef
Sharma, N.K.[Nalin Kumar],
Hamednia, A.[Ahad],
Murgovski, N.[Nikolce],
Gelso, E.R.[Esteban R.],
Sjöberg, J.[Jonas],
Optimal Eco-Driving of a Heavy-Duty Vehicle Behind a Leading
Heavy-Duty Vehicle,
ITS(22), No. 12, December 2021, pp. 7792-7803.
IEEE DOI
2112
Roads, Force, Drag, Fuels, Aerodynamics, Observers, Engines, Eco-driving,
leading vehicle observer, model predictive control,
heavy-duty vehicles
BibRef
Mata-Carballeira, Ó.,
del Campo, I.,
Asua, E.,
An eco-driving approach for ride comfort improvement,
IET-ITS(16), No. 2, 2022, pp. 186-205.
DOI Link
2201
BibRef
Ma, Y.[Yao],
Wang, J.[Junmin],
Energetic Impacts Evaluation of Eco-Driving on Mixed Traffic With
Driver Behavioral Diversity,
ITS(23), No. 4, April 2022, pp. 3406-3417.
IEEE DOI
2204
Fuels, Vehicles, Vehicle dynamics, Acceleration, Urban areas,
Microscopy, Fuel economy, Autonomous vehicles, dynamic programming,
statistical analysis
BibRef
Zhang, J.[Jun],
Jin, H.[Hui],
Optimized Calculation of the Economic Speed Profile for Slope
Driving: Based on Iterative Dynamic Programming,
ITS(23), No. 4, April 2022, pp. 3313-3323.
IEEE DOI
2204
Mathematical model, Optimization, Data models, Resistance, Roads,
Fuel economy, Transient analysis, Eco-driving, speed profile,
calculation efficiency
BibRef
Oh, G.[Geunseob],
Leblanc, D.J.[David J.],
Peng, H.[Huei],
Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle
Energy Consumption Research,
ITS(23), No. 4, April 2022, pp. 3302-3312.
IEEE DOI
2204
Fuels, Batteries, Global Positioning System, Ice, Energy consumption,
Vehicles, Automobiles, Database, naturalistic driving data, energy consumption
BibRef
Shen, P.H.[Pei-Hong],
Zhao, Z.G.[Zhi-Guo],
Guo, Q.Y.[Qiu-Yi],
Zhou, P.D.[Pei-Dong],
Development of Economic Velocity Planning Algorithm for Plug-in
Hybrid Electric Vehicle,
ITS(23), No. 6, June 2022, pp. 5501-5513.
IEEE DOI
2206
Energy consumption, Economics, Roads, Engines, Planning, Fuels,
Biological system modeling, Plug-in hybrid electric vehicle,
Pontryagin's minimum principle
BibRef
Ben Abbes, S.[Sirine],
Rejeb, L.[Lilia],
Baati, L.[Lasaad],
Route planning for electric vehicles,
IET-ITS(16), No. 7, 2022, pp. 875-889.
DOI Link
2206
BibRef
Hamednia, A.[Ahad],
Sharma, N.K.[Nalin Kumar],
Murgovski, N.[Nikolce],
Fredriksson, J.[Jonas],
Computationally Efficient Algorithm for Eco-Driving Over Long
Look-Ahead Horizons,
ITS(23), No. 7, July 2022, pp. 6556-6570.
IEEE DOI
2207
Gears, Roads, Acceleration, Optimization, Vehicle dynamics,
Real-time systems, Mechanical power transmission, Eco-driving,
model predictive control
BibRef
Liu, D.[Dahui],
Eksioglu, B.[Burak],
Schmid, M.J.[Matthias J.],
Huynh, N.[Nathan],
Comert, G.[Gurcan],
Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks,
ITS(23), No. 7, July 2022, pp. 7570-7586.
IEEE DOI
2207
Fuels, Optimization, Energy consumption, Road transportation,
Autonomous vehicles, Traffic control, Predictive models,
optimization
BibRef
Kandidayeni, M.[Mohsen],
Chaoui, H.[Hicham],
Boulon, L.[Loïc],
Trovão, J.P.F.[João Pedro F.],
Adaptive Parameter Identification of a Fuel Cell System for
Health-Conscious Energy Management Applications,
ITS(23), No. 7, July 2022, pp. 7963-7973.
IEEE DOI
2207
Medical services, Adaptation models, Degradation, Resistance,
Fuel cells, Estimation, Energy management, Kalman filter,
fuel cell
BibRef
Hulagu, S.[Selin],
Celikoglu, H.B.[Hilmi Berk],
Electric Vehicle Location Routing Problem With Vehicle Motion
Dynamics-Based Energy Consumption and Recovery,
ITS(23), No. 8, August 2022, pp. 10275-10286.
IEEE DOI
2208
Routing, Energy consumption, Batteries, Electric vehicles, Roads,
Layout, Resistance, Road transportation, electric vehicles,
optimization
BibRef
Kim, D.[Dohee],
Eo, J.S.[Jeong Soo],
Kim, K.K.K.[Kwang-Ki K.],
Service-Oriented Real-Time Energy-Optimal Regenerative Braking
Strategy for Connected and Autonomous Electrified Vehicles,
ITS(23), No. 8, August 2022, pp. 11098-11115.
IEEE DOI
2208
Planning, Real-time systems, Vehicles, Hydraulic systems,
Mechanical power transmission, Torque, Roads, Eco-driving,
connected and automated vehicles
BibRef
Houshmand, A.[Arian],
Cassandras, C.G.[Christos G.],
Zhou, N.[Nan],
Hashemi, N.[Nasser],
Li, B.Q.[Bo-Qi],
Peng, H.[Huei],
Combined Eco-Routing and Power-Train Control of Plug-In Hybrid
Electric Vehicles in Transportation Networks,
ITS(23), No. 8, August 2022, pp. 11287-11300.
IEEE DOI
2208
Energy consumption, Batteries, Fuels, Routing, Urban areas,
Directed graphs, Torque, Vehicle routing, traffic control,
intelligent vehicles
BibRef
Lin, B.[Bo],
Ghaddar, B.[Bissan],
Nathwani, J.[Jatin],
Deep Reinforcement Learning for the Electric Vehicle Routing Problem
With Time Windows,
ITS(23), No. 8, August 2022, pp. 11528-11538.
IEEE DOI
2208
Routing, Reinforcement learning, Decoding,
Artificial neural networks, Urban areas, Transportation,
logistics
BibRef
Shen, Z.[Zhen],
Luo, C.[Can],
Dong, X.S.[Xi-Song],
Lu, W.[Wanze],
Lv, Y.S.[Yi-Sheng],
Xiong, G.[Gang],
Wang, F.Y.[Fei-Yue],
Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series
Hybrid Electric Vehicles,
ITS(23), No. 8, August 2022, pp. 13178-13189.
IEEE DOI
2208
Hybrid electric vehicles, Fuels, Electronic countermeasures,
Minimization, Mechanical power transmission, Optimization,
energy control
BibRef
Caspari, A.[Adrian],
Fahr, S.[Steffen],
Mitsos, A.[Alexander],
Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model
Embedded,
ITS(23), No. 9, September 2022, pp. 14632-14648.
IEEE DOI
2209
Routing, Mechanical power transmission, Optimization, Batteries,
State of charge, Fuels, Hybrid electric vehicles,
carbon foot reduction
BibRef
Yu, M.[Miao],
Long, J.C.[Jian-Cheng],
An Eco-Driving Strategy for Partially Connected Automated Vehicles at
a Signalized Intersection,
ITS(23), No. 9, September 2022, pp. 15780-15793.
IEEE DOI
2209
Fuels, Trajectory, Real-time systems, Mathematical models,
Computational modeling, Optimal control, Green products,
Pontryagin's minimum principle
BibRef
Zhang, Y.[Ying],
Ai, Z.Y.[Zhao-Yang],
Chen, J.C.[Jin-Chao],
You, T.[Tao],
Du, C.L.[Cheng-Lie],
Deng, L.[Lei],
Energy-Saving Optimization and Control of Autonomous Electric
Vehicles With Considering Multiconstraints,
Cyber(52), No. 10, October 2022, pp. 10869-10881.
IEEE DOI
2209
Electric vehicles, Autonomous vehicles,
Mechanical power transmission, Optimization, Vehicle dynamics,
vehicle motion control
BibRef
Wang, L.[Li],
Li, M.[Mince],
Wang, Y.J.[Yu-Jie],
Chen, Z.H.[Zong-Hai],
Energy Management Strategy and Optimal Sizing for Hybrid Energy
Storage Systems Using an Evolutionary Algorithm,
ITS(23), No. 9, September 2022, pp. 14283-14293.
IEEE DOI
2209
Optimization, Energy management, Batteries, Topology,
Predictive models, Costs, Load modeling, GWO-SVM
BibRef
Qiu, H.X.[Hua-Xin],
Cui, S.[Shaoze],
Wang, S.T.[Su-Tong],
Wang, Y.Z.[Yan-Zhang],
Feng, M.L.[Meng-Ling],
A Clustering-Based Optimization Method for the Driving Cycle
Construction: A Case Study in Fuzhou and Putian, China,
ITS(23), No. 10, October 2022, pp. 18681-18694.
IEEE DOI
2210
Kinematics, Urban areas, Fuels, Global Positioning System, Standards,
Markov processes, Europe, Driving cycle, light-duty vehicles, fuel consumption
BibRef
Pirayre, A.[Aurélie],
Michel, P.[Pierre],
Rodriguez, S.S.[Sol Selene],
Chasse, A.[Alexandre],
Driving Behavior Identification and Real-World Fuel Consumption
Estimation With Crowdsensing Data,
ITS(23), No. 10, October 2022, pp. 18378-18391.
IEEE DOI
2210
Behavioral sciences, Fuels, Global Positioning System, Vehicles,
Roads, Smart phones, Accelerometers, Smartphone sensor, GPS,
real-world fuel consumption estimation
BibRef
Tu, Z.[Zhen],
Qiao, L.[Liang],
Nowak, R.[Robert],
Lv, H.B.[Hai-Bin],
Lv, Z.H.[Zhi-Han],
Digital Twins-Based Automated Pilot for Energy-Efficiency Assessment
of Intelligent Transportation Infrastructure,
ITS(23), No. 11, November 2022, pp. 22320-22330.
IEEE DOI
2212
Transportation, Investment, Analytical models, Data models,
Urban areas, Predictive models, Digital twin, Digital twins, LSTM
BibRef
Coppola, A.[Angelo],
Lui, D.G.[Dario Giuseppe],
Petrillo, A.[Alberto],
Santini, S.[Stefania],
Eco-Driving Control Architecture for Platoons of Uncertain
Heterogeneous Nonlinear Connected Autonomous Electric Vehicles,
ITS(23), No. 12, December 2022, pp. 24220-24234.
IEEE DOI
2212
Computer architecture, Roads, Vehicle dynamics, Energy consumption,
Optimization, Electric vehicles, Asymptotic stability, Eco-drive,
nonlinear model predictive control
BibRef
Chen, Z.J.[Zhi-Jun],
Xiong, S.G.[Sheng-Guang],
Chen, Q.S.[Qiu-Shi],
Zhang, Y.S.[Yi-Shi],
Yu, J.Q.[Jin-Qiu],
Jiang, J.F.[Jun-Feng],
Wu, C.Z.[Chao-Zhong],
Eco-Driving: A Scientometric and Bibliometric Analysis,
ITS(23), No. 12, December 2022, pp. 22716-22736.
IEEE DOI
2212
Bibliometrics, Automobiles, Roads, Fuels, Energy consumption,
Biological system modeling, Soft sensors, Eco-driving, VOSviewer
BibRef
Elgharably, N.[Nayera],
Easa, S.[Said],
Nassef, A.[Ashraf],
El Damatty, A.[Ashraf],
Stochastic Multi-Objective Vehicle Routing Model in Green Environment
With Customer Satisfaction,
ITS(24), No. 1, January 2023, pp. 1337-1355.
IEEE DOI
2301
Costs, Uncertainty, Stochastic processes, Customer satisfaction,
Vehicle routing, Green products, Routing, Stochastic,
evolutionary search
BibRef
Hyeon, E.[Eunjeong],
Ersal, T.[Tulga],
Kim, Y.[Youngki],
Stefanopoulou, A.G.[Anna G.],
Loss Function Design for Data-Driven Predictors to Enhance the Energy
Efficiency of Connected and Automated Vehicles,
ITS(24), No. 1, January 2023, pp. 827-837.
IEEE DOI
2301
Uncertainty, TV, Forecasting, Trajectory, Vehicles,
Biological system modeling, Predictive models,
long short-term memory (LSTM)
BibRef
Amini, M.R.[Mohammad Reza],
Hu, Q.[Qiuhao],
Wiese, A.[Ashley],
Kolmanovsky, I.[Ilya],
Seeds, J.B.[Julia Buckland],
Sun, J.[Jing],
A Data-Driven Spatio-Temporal Speed Prediction Framework for Energy
Management of Connected Vehicles,
ITS(24), No. 1, January 2023, pp. 291-303.
IEEE DOI
2301
Load modeling, Data models, Batteries, Predictive models, Fuels,
Energy management, Vehicle dynamics, connected vehicles
BibRef
Yang, D.Y.[Dong-Ying],
Yi, S.R.[Si-Rong],
He, Q.[Qing],
Liu, D.[Dewei],
Wang, Y.F.[Yi-Feng],
Railway Alignment Optimization Based on Multiobjective Bi-Level
Programming Considering Ecological Impact,
ITS(24), No. 2, February 2023, pp. 1712-1726.
IEEE DOI
2302
Optimization, Costs, Rail transportation, Investment, Minimization,
Biological system modeling, Roads, Railway alignment, GIS
BibRef
Shan, X.[Xiaonian],
Wan, C.X.[Chang-Xin],
Hao, P.[Peng],
Wu, G.Y.[Guo-Yuan],
Zhang, X.[Xiang],
Connected eco-driving for electric buses along signalized arterials
with bus stops,
IET-ITS(17), No. 3, 2023, pp. 575-587.
DOI Link
2303
BibRef
Sun, H.C.[Hao-Chen],
Tao, F.[Fazhan],
Fu, Z.[Zhumu],
Gao, A.[Aiyun],
Jiao, L.Y.[Long-Yin],
Driving-Behavior-Aware Optimal Energy Management Strategy for
Multi-Source Fuel Cell Hybrid Electric Vehicles Based on Adaptive
Soft Deep-Reinforcement Learning,
ITS(24), No. 4, April 2023, pp. 4127-4146.
IEEE DOI
2304
Energy management, Behavioral sciences, Real-time systems,
Support vector machines, Q-learning, Hybrid electric vehicles,
adaptive soft learning
BibRef
Sorbelli, F.B.[Francesco Betti],
Corò, F.[Federico],
Palazzetti, L.[Lorenzo],
Pinotti, C.M.[Cristina M.],
Rigoni, G.[Giulio],
How the Wind Can Be Leveraged for Saving Energy in a Truck-Drone
Delivery System,
ITS(24), No. 4, April 2023, pp. 4038-4049.
IEEE DOI
2304
Drones, Wind, Trajectory, Batteries, Aircraft, Payloads, Wind speed, Drone,
delivery, wind model, energy model
BibRef
Shen, M.H.[Ming-Hao],
He, C.Z.R.[Chao-Zhe R.],
Molnar, T.G.[Tamas G.],
Bell, A.H.[A. Harvey],
Orosz, G.[Gábor],
Energy-Efficient Connected Cruise Control With Lean Penetration of
Connected Vehicles,
ITS(24), No. 4, April 2023, pp. 4320-4332.
IEEE DOI
2304
Connected vehicles, Vehicle-to-everything, Cruise control, Delays,
Mathematical models, Vehicle dynamics, Torque, eco-driving
BibRef
Xu, W.J.[Wen-Jie],
Liu, Q.Y.[Qing-Yu],
Chen, M.H.[Ming-Hua],
Zeng, H.B.[Hai-Bo],
Ride the Tide of Traffic Conditions: Opportunistic Driving Improves
Energy Efficiency of Timely Truck Transportation,
ITS(24), No. 5, May 2023, pp. 4777-4793.
IEEE DOI
2305
Fuels, Roads, Road transportation, Planning, Path planning,
Vehicle dynamics, Energy efficiency, Dynamic traffic conditions,
variable speed ranges
BibRef
Liu, Z.[Zhishuo],
Zuo, X.Q.[Xing-Quan],
Zhou, M.C.[Meng-Chu],
Guan, W.[Wei],
Al-Turki, Y.[Yusuf],
Electric Vehicle Routing Problem With Variable Vehicle Speed and Soft
Time Windows for Perishable Product Delivery,
ITS(24), No. 6, June 2023, pp. 6178-6190.
IEEE DOI
2306
Refrigeration, Costs, Optimization, Energy consumption, Routing,
Mathematical models, Fuels, Electric commercial vehicle,
perishable products
BibRef
Wang, H.[Heng],
Li, M.[Menghan],
Wang, Z.Y.[Zhen-Yu],
Li, W.[Wei],
Hou, T.J.[Tian-Jiao],
Yang, X.[Xianyi],
Zhao, Z.Z.[Zhen-Zhen],
Wang, Z.F.[Zhen-Feng],
Sun, T.[Tong],
Heterogeneous Fleets for Green Vehicle Routing Problem With Traffic
Restrictions,
ITS(24), No. 8, August 2023, pp. 8667-8676.
IEEE DOI
2308
Costs, Carbon dioxide, Transportation, Logistics, Fuels, Optimization,
Batteries, Traffic restrictions, heterogeneous fleets, GVRP, IACO
BibRef
Liu, L.K.[Liang-Kai],
Li, W.[Wei],
Wang, D.W.[Da-Wei],
Wu, Y.[Yi],
Yang, R.G.[Rui-Gang],
Shi, W.S.[Wei-Song],
Fuel Rate Prediction for Heavy-Duty Trucks,
ITS(24), No. 8, August 2023, pp. 8222-8235.
IEEE DOI
2308
Fuels, Predictive models, Engines, Energy management,
Mathematical models, Biological system modeling, Costs,
deep learning
BibRef
Wu, S.[Simin],
Chen, Z.[Zheng],
Shen, S.[Shiquan],
Shen, J.W.[Jiang-Wei],
Guo, F.X.[Feng-Xiang],
Liu, Y.G.[Yong-Gang],
Zhang, Y.J.[Yuan-Jian],
Hierarchical cooperative eco-driving control for connected autonomous
vehicle platoon at signalized intersections,
IET-ITS(17), No. 8, 2023, pp. 1560-1574.
DOI Link
2309
cooperative optimization, eco-driving, signalized intersection, vehicle platoon
BibRef
Li, X.[Xiang],
Pan, Z.H.[Zhao-Hua],
Ma, H.G.[Hong-Guang],
Zhang, B.[Bowen],
Neural Network-Based Subway Regenerative Energy Optimization With
Variable Headway Constraints,
ITS(24), No. 9, September 2023, pp. 9698-9711.
IEEE DOI
2310
BibRef
Wingelaar, B.[Bart],
da Silva, G.R.G.[Gustavo R. Gonçalves],
Lazar, M.[Mircea],
Model Predictive Eco-Driving Control for Heavy-Duty Trucks Using
Branch and Bound Optimization,
ITS(24), No. 12, December 2023, pp. 15178-15189.
IEEE DOI
2312
BibRef
Zenia, N.Z.[Nusrat Zerin],
Kaiser, M.S.[M. Shamim],
Mahmud, M.[Mufti],
Ahmed, M.R.[Muhammad Raisuddin],
Kaiwartya, O.[Omprakash],
Kamruzzaman, J.[Joarder],
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime
Intelligent Transportation Systems,
ITS(24), No. 12, December 2023, pp. 13654-13669.
IEEE DOI
2312
BibRef
Tu, L.T.[Lam-Thanh],
Bradai, A.[Abbas],
Ahmed, O.B.[Olfa Ben],
Garg, S.[Sahil],
Pousset, Y.[Yannis],
Kaddoum, G.[Georges],
Energy Efficiency Optimization in LoRa Networks:
A Deep Learning Approach,
ITS(24), No. 12, December 2023, pp. 15435-15447.
IEEE DOI
2312
BibRef
Hur, S.H.[Sung Ho],
Won, M.[Minsu],
CO2 emissions and delivery time of last-mile drone delivery using
trucks,
IET-ITS(18), No. 1, 2024, pp. 101-113.
DOI Link
2401
air transportation, cooperative systems, emission, freight,
logistics, vehicle routing
BibRef
Yan, L.X.[Li-Xin],
Jia, L.[Le],
Lu, S.[Shan],
Peng, L.Q.[Li-Qun],
He, Y.[Yi],
LSTM-based deep learning framework for adaptive identifying
eco-driving on intelligent vehicle multivariate time-series data,
IET-ITS(18), No. 1, 2024, pp. 186-202.
DOI Link
2401
classification model, eco-driving, driving behavior,
deep learning, multivariate timeseries
BibRef
Li, Z.C.[Zhi-Cheng],
Wang, Y.[Yang],
Energy-efficiency optimization and control for electric vehicle
platooning with regenerating braking,
IET-ITS(18), No. 2, 2024, pp. 203-217.
DOI Link
2402
autonomous driving, battery powered vehicles,
control system synthesis, optimization and uncertainty
BibRef
Huang, J.C.[Jian-Chang],
Song, G.H.[Guo-Hua],
Wu, Y.Z.[Yi-Zheng],
Zhai, Z.Q.[Zhi-Qiang],
Zhang, Z.[Zeyu],
Zhang, L.[Leqi],
A fuel consumption model for mixed traffic flow in multiple connected
and autonomous scenarios,
IET-ITS(18), No. 3, 2024, pp. 480-494.
DOI Link
2403
connected and autonomous vehicle, fuel consumption,
penetration rate, platoon intensity, vehicle-specific power
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Flow Analysis Using Phone Signals, Cell Data, Wi-Fi data .