16.7.2.7.3 Eco-Driving

Chapter Contents (Back)
Eco-Driving. Electric Vehicles. A variety, Eco-Driving driver assistance, EV control, etc.
See also Traffic, Routing, Evaluation.
See also Emission Control Issues in Traffic Control.
See also Driver Assistance Systems and Techniques.
See also Adaptive Cruise Control.

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., Hltl, 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., Bhler, 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., Mrtensson, 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.], Sjberg, 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, ., 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.[Loc], Trovo, J.P.F.[Joo 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.[Aurlie], 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.[Longyin],
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], Cor, 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.[Gbor],
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.[Mengchu], 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


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 .


Last update:Aug 31, 2023 at 09:37:21