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Volumn 68, Issue , 2016, Pages 228-244

Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication

Author keywords

Connected vehicle; Eco driving; Fuel efficiency; Hybrid vehicle; Powertrian and speed integrated control; Rolling terrains

Indexed keywords

CONTROLLERS; EFFICIENCY; LANDFORMS; OPTIMAL CONTROL SYSTEMS; ROADS AND STREETS; TOPOGRAPHY;

EID: 84963574905     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2016.04.009     Document Type: Article
Times cited : (162)

References (44)
  • 1
    • 84887706755 scopus 로고    scopus 로고
    • Ecodrive application: algorithmic development and preliminary testing
    • Ahn K., Rakha H., Park S. Ecodrive application: algorithmic development and preliminary testing. Transp. Res. Rec.: J. Transp. Res. Board 2013, 2341:1-11. 10.3141/2341-01.
    • (2013) Transp. Res. Rec.: J. Transp. Res. Board , vol.2341 , pp. 1-11
    • Ahn, K.1    Rakha, H.2    Park, S.3
  • 3
    • 76149125456 scopus 로고    scopus 로고
    • Impacts of road grade on fuel consumption and carbon dioxide emissions evidenced by use of advanced navigation systems
    • Boriboonsomsin K., Barth M. Impacts of road grade on fuel consumption and carbon dioxide emissions evidenced by use of advanced navigation systems. Transp. Res. Rec.: J. Transp. Res. Board 2009, 2139:21-30. 10.3141/2139-03.
    • (2009) Transp. Res. Rec.: J. Transp. Res. Board , vol.2139 , pp. 21-30
    • Boriboonsomsin, K.1    Barth, M.2
  • 4
    • 84912029121 scopus 로고    scopus 로고
    • Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine
    • Chen C., Li W., Su H., Liu K. Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine. Rem.Sens. 2014, 6(6):5795-5814.
    • (2014) Rem.Sens. , vol.6 , Issue.6 , pp. 5795-5814
    • Chen, C.1    Li, W.2    Su, H.3    Liu, K.4
  • 5
    • 84939137006 scopus 로고    scopus 로고
    • Adaptive autonomous navigation using reactive multi-agent system for control law merging
    • Dafflon B., Vilca J., Gechter F., Adouane L. Adaptive autonomous navigation using reactive multi-agent system for control law merging. Proc. Comp. Sci. 2015, 51:423-432.
    • (2015) Proc. Comp. Sci. , vol.51 , pp. 423-432
    • Dafflon, B.1    Vilca, J.2    Gechter, F.3    Adouane, L.4
  • 6
    • 85049415038 scopus 로고    scopus 로고
    • Apparatus for Coaching a Driver for Driving Operation to Improve Fuel Efficiency
    • U.S. Patent Application
    • Enomoto, K., Fujiki, Y., Takemoto, H., 2009. Apparatus for Coaching a Driver for Driving Operation to Improve Fuel Efficiency, U.S. Patent Application 13 (121).
    • (2009) , vol.13 , Issue.121
    • Enomoto, K.1    Fujiki, Y.2    Takemoto, H.3
  • 7
    • 84963552118 scopus 로고    scopus 로고
    • Standard specifications for construction of roads and bridges on federal highway projects
    • FHWA, 2014. Standard specifications for construction of roads and bridges on federal highway projects, pp. 62-64 http://flh.fhwa.dot.gov/resources/specs/fp-14/fp14.pdf.
    • (2014) , pp. 62-64
  • 8
    • 11244337534 scopus 로고    scopus 로고
    • A hybrid controller for autonomous vehicles driving on automated highways
    • Girault A. A hybrid controller for autonomous vehicles driving on automated highways. Transp. Res. Part C: Emerg. Technol. 2004, 12(6):421-452.
    • (2004) Transp. Res. Part C: Emerg. Technol. , vol.12 , Issue.6 , pp. 421-452
    • Girault, A.1
  • 9
    • 84902329031 scopus 로고    scopus 로고
    • Using connected vehicle technology to improve the efficiency of intersections
    • Guler S.I., Menendez M., Meier L. Using connected vehicle technology to improve the efficiency of intersections. Transp. Res. Part C: Emerg. Technol. 2014, 46:121-131.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.46 , pp. 121-131
    • Guler, S.I.1    Menendez, M.2    Meier, L.3
  • 10
    • 33646792225 scopus 로고    scopus 로고
    • Vehicle sorting for platoon formation: impacts on highway entry and throughput
    • Hall R., Chin C. Vehicle sorting for platoon formation: impacts on highway entry and throughput. Transp. Res. Part C: Emerg. Technol. 2005, 13(5):405-420.
    • (2005) Transp. Res. Part C: Emerg. Technol. , vol.13 , Issue.5 , pp. 405-420
    • Hall, R.1    Chin, C.2
  • 11
    • 84855953178 scopus 로고    scopus 로고
    • Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration
    • He Y., Chowdhury M., Ma Y., Pisu P. Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration. Energy Policy 2012, 41:599-609. 10.1016/j.enpol.2011.11.021.
    • (2012) Energy Policy , vol.41 , pp. 599-609
    • He, Y.1    Chowdhury, M.2    Ma, Y.3    Pisu, P.4
  • 12
    • 78149359972 scopus 로고    scopus 로고
    • Design of an efficient algorithm for fuel-optimal look-ahead control
    • Hellström E., Åslund J., Nielsen L. Design of an efficient algorithm for fuel-optimal look-ahead control. Control Eng. Pract. 2010, 18(11):1318-1327. 10.1016/j.conengprac.2009.12.008.
    • (2010) Control Eng. Pract. , vol.18 , Issue.11 , pp. 1318-1327
    • Hellström, E.1    Åslund, J.2    Nielsen, L.3
  • 14
    • 0023823701 scopus 로고
    • Optimal driving for single-vehicle fuel economy
    • Hooker J.N. Optimal driving for single-vehicle fuel economy. Transp. Res. Part A: Gen. 1988, 22(3):183-201. 10.1016/0191-2607(88)90036-2.
    • (1988) Transp. Res. Part A: Gen. , vol.22 , Issue.3 , pp. 183-201
    • Hooker, J.N.1
  • 16
    • 84936986063 scopus 로고    scopus 로고
    • Coordinated transit signal priority supporting transit progression under connected vehicle technology
    • Hu J., Park B.B., Lee Y.J. Coordinated transit signal priority supporting transit progression under connected vehicle technology. Transp. Res. Part C: Emerg. Technol. 2015, 55:393-408.
    • (2015) Transp. Res. Part C: Emerg. Technol. , vol.55 , pp. 393-408
    • Hu, J.1    Park, B.B.2    Lee, Y.J.3
  • 19
    • 84901592910 scopus 로고    scopus 로고
    • Dynamics of connected vehicle systems with delayed acceleration feedback
    • Jin I.G., Orosz G. Dynamics of connected vehicle systems with delayed acceleration feedback. Transp. Res. Part C: Emerg. Technol. 2014, 46:46-64.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.46 , pp. 46-64
    • Jin, I.G.1    Orosz, G.2
  • 21
    • 77951530956 scopus 로고    scopus 로고
    • Optical flow and principal component analysis-based motion detection in outdoor videos
    • Liu K., Du Q., Yang H., Ma B. Optical flow and principal component analysis-based motion detection in outdoor videos. EURASIP J. Adv. Signal Process. 2010, 2010:1.
    • (2010) EURASIP J. Adv. Signal Process. , vol.2010 , pp. 1
    • Liu, K.1    Du, Q.2    Yang, H.3    Ma, B.4
  • 22
    • 77953237290 scopus 로고    scopus 로고
    • Using multiple injection strategies in diesel combustion: potential to improve emissions, noise and fuel economy trade-off in low CR engines
    • 2008-01-1329
    • Mendez, S., Thirouard, B., 2008. Using multiple injection strategies in diesel combustion: potential to improve emissions, noise and fuel economy trade-off in low CR engines. SAE Int. J. Fuels Lub. 1(2008-01-1329), 662-674.
    • (2008) SAE Int. J. Fuels Lub , vol.1 , pp. 662-674
    • Mendez, S.1    Thirouard, B.2
  • 23
    • 84874445890 scopus 로고    scopus 로고
    • Vehicle trajectory optimization for hybrid vehicles taking into account battery state-of-charge.
    • Mensing, F., Trigui, R., Bideaux, E., 2012. Vehicle trajectory optimization for hybrid vehicles taking into account battery state-of-charge, doi:10.1109/VPPC.2012.6422774.
    • (2012)
    • Mensing, F.1    Trigui, R.2    Bideaux, E.3
  • 24
    • 84887886368 scopus 로고    scopus 로고
    • Trajectory optimisation for eco-driving - an experimentally verified optimisation method
    • Mensing F., Bideaux E., Trigui R., Jeanneret B. Trajectory optimisation for eco-driving - an experimentally verified optimisation method. Int. J. Veh. Syst. Model. Test. 2013, 8(4):295-315.
    • (2013) Int. J. Veh. Syst. Model. Test. , vol.8 , Issue.4 , pp. 295-315
    • Mensing, F.1    Bideaux, E.2    Trigui, R.3    Jeanneret, B.4
  • 25
    • 84907810777 scopus 로고    scopus 로고
    • Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data
    • Milanés V., Shladover S.E. Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data. Transp. Res. Part C: Emerg. Technol. 2014, 48:285-300.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.48 , pp. 285-300
    • Milanés, V.1    Shladover, S.E.2
  • 26
    • 84904671645 scopus 로고    scopus 로고
    • Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration
    • Mohd Zulkefli M.A., Zheng J., Sun Z., Liu H.X. Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration. Transp. Res. Part C: Emerg. Technol. 2014, 45:41-63.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.45 , pp. 41-63
    • Mohd Zulkefli, M.A.1    Zheng, J.2    Sun, Z.3    Liu, H.X.4
  • 27
    • 84963494286 scopus 로고    scopus 로고
    • GPS Accuracy accessed Jan 3, 2015).
    • National Coordination Office for Space-Based Positioning, Navigation, and Timing, 2014. GPS Accuracy (accessed Jan 3, 2015). http://www.gps.gov/systems/gps/performance/accuracy/.
    • (2014)
  • 28
    • 84963494301 scopus 로고    scopus 로고
    • Safety Technology accessed July 15, 2015
    • Nelson, G., 2014. U.S. Regulators Pave Way for Vehicle-to-Vehicle Communications, Safety Technology (accessed July 15, 2015). http://www.autonews.com/article/20140203/OEM11/140209988/u.s.-regulators-pave-way-for-vehicle-to-vehicle-communications-safety-
    • (2014) U.S. Regulators Pave Way for Vehicle-to-Vehicle Communications
    • Nelson, G.1
  • 32
    • 33947600610 scopus 로고    scopus 로고
    • Energy and environmental impacts of roadway grades
    • Park S., Rakha H. Energy and environmental impacts of roadway grades. Transp. Res. Rec.: J. Transp. Res. Board 2006, 1987:148-160. 10.3141/1987-16.
    • (2006) Transp. Res. Rec.: J. Transp. Res. Board , vol.1987 , pp. 148-160
    • Park, S.1    Rakha, H.2
  • 36
    • 84880377139 scopus 로고    scopus 로고
    • Calculation of the minimum-fuel driving control based on Pontryagin's maximum principle
    • Saerens B., Van den Bulck E. Calculation of the minimum-fuel driving control based on Pontryagin's maximum principle. Transp. Res. Part D: Transp. Environ. 2013, 24:89-97. 10.1016/j.trd.2013.05.004.
    • (2013) Transp. Res. Part D: Transp. Environ. , vol.24 , pp. 89-97
    • Saerens, B.1    Van den Bulck, E.2
  • 37
    • 84916879651 scopus 로고    scopus 로고
    • Control concepts for facilitating motorway on-ramp merging using intelligent vehicles
    • Scarinci R., Heydecker B. Control concepts for facilitating motorway on-ramp merging using intelligent vehicles. Transp. Rev. 2014, 34(6):775-797. 10.1080/01441647.2014.983210.
    • (2014) Transp. Rev. , vol.34 , Issue.6 , pp. 775-797
    • Scarinci, R.1    Heydecker, B.2
  • 39
    • 84963583721 scopus 로고    scopus 로고
    • accessed June 25, 2015
    • U.S. Department of Transportation. Transportation's Role in Climate Change (accessed June 25, 2015). http://climate.dot.gov/about/transportations-role/overview.html.
    • Transportation's Role in Climate Change
  • 40
    • 84890546064 scopus 로고    scopus 로고
    • Optimal control of the transient emissions and the fuel efficiency of a diesel hybrid electric vehicle
    • Wang Y., Zhang H., Sun Z. Optimal control of the transient emissions and the fuel efficiency of a diesel hybrid electric vehicle. Proc. Inst. Mech. Eng., Part D: J. Autom. Eng. 2013, 227(11):1546-1561.
    • (2013) Proc. Inst. Mech. Eng., Part D: J. Autom. Eng. , vol.227 , Issue.11 , pp. 1546-1561
    • Wang, Y.1    Zhang, H.2    Sun, Z.3
  • 41
    • 84897653119 scopus 로고    scopus 로고
    • Rolling horizon control framework for driver assistance systems. Part I: mathematical formulation and non-cooperative systems
    • Wang M., Daamen W., Hoogendoorn S.P., van Arem B. Rolling horizon control framework for driver assistance systems. Part I: mathematical formulation and non-cooperative systems. Transp. Res. Part C: Emerg. Technol. 2014, 40:271-289. 10.1016/j.trc.2013.11.023.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.40 , pp. 271-289
    • Wang, M.1    Daamen, W.2    Hoogendoorn, S.P.3    van Arem, B.4
  • 42
    • 84897649196 scopus 로고    scopus 로고
    • Rolling horizon control framework for driver assistance systems. Part II: cooperative sensing and cooperative control
    • Wang M., Daamen W., Hoogendoorn S.P., van Arem B. Rolling horizon control framework for driver assistance systems. Part II: cooperative sensing and cooperative control. Transp. Res. Part C: Emerg. Technol. 2014, 40:290-311.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.40 , pp. 290-311
    • Wang, M.1    Daamen, W.2    Hoogendoorn, S.P.3    van Arem, B.4
  • 43
    • 84959569592 scopus 로고    scopus 로고
    • Dynamic analysis and multivariable transient control of the power-split hybrid powertrain
    • Wang Y., Sun Z. Dynamic analysis and multivariable transient control of the power-split hybrid powertrain. IEEE/ASME Trans. Mechatron. 2015, 20(6):3085-3097.
    • (2015) IEEE/ASME Trans. Mechatron. , vol.20 , Issue.6 , pp. 3085-3097
    • Wang, Y.1    Sun, Z.2


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