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Volumn 65, Issue , 2016, Pages 31-48

Corrigendum to “Fuel economy testing of autonomous vehicles” [Transp. Res. Part C: Emerging Technol. 65 (2016) 31–48](S0968090X16000024)(10.1016/j.trc.2016.01.001);Fuel economy testing of autonomous vehicles

Author keywords

ACC; Adaptive cruise control; Autonomous vehicles; AV; Fuel economy; Vehicle testing

Indexed keywords

ADAPTIVE CRUISE CONTROL; AUTONOMOUS VEHICLES; ENVIRONMENTAL PROTECTION AGENCY; FUELS; POLLUTION;

EID: 84957887115     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2017.11.020     Document Type: Erratum
Times cited : (145)

References (31)
  • 2
    • 81855203199 scopus 로고    scopus 로고
    • A review on global fuel economy standards, labels and technologies in the transportation sector
    • Atabani A.E., Badruddin I.A., Mekhilef S., Silitonga A.S. A review on global fuel economy standards, labels and technologies in the transportation sector. Renew. Sustain. Energy Rev. 2011, 15:4586-4610. 10.1016/j.rser.2011.07.092.
    • (2011) Renew. Sustain. Energy Rev. , vol.15 , pp. 4586-4610
    • Atabani, A.E.1    Badruddin, I.A.2    Mekhilef, S.3    Silitonga, A.S.4
  • 3
    • 84910029392 scopus 로고    scopus 로고
    • Energy consumption reduction strategies for plug-in hybrid electric vehicles with connected vehicle technology in urban areas
    • Bhavsar P., He Y., Chowdhury M., Fries R., Shealy A. Energy consumption reduction strategies for plug-in hybrid electric vehicles with connected vehicle technology in urban areas. Transp. Res. Rec. J. Transp. Res. Board 2014, 2424:29-38. 10.3141/2424-04.
    • (2014) Transp. Res. Rec. J. Transp. Res. Board , vol.2424 , pp. 29-38
    • Bhavsar, P.1    He, Y.2    Chowdhury, M.3    Fries, R.4    Shealy, A.5
  • 4
    • 85144944144 scopus 로고    scopus 로고
    • An analysis of possible energy impacts of automated vehicle
    • Springer International Publishing, G. Meyer, S. Beiker (Eds.)
    • Brown A., Gonder J., Repac B. An analysis of possible energy impacts of automated vehicle. Road Vehicle Automation, Lecture Notes in Mobility 2014, 137-153. Springer International Publishing. G. Meyer, S. Beiker (Eds.).
    • (2014) Road Vehicle Automation, Lecture Notes in Mobility , pp. 137-153
    • Brown, A.1    Gonder, J.2    Repac, B.3
  • 5
    • 84907550286 scopus 로고    scopus 로고
    • Virginia tech comprehensive power-based fuel consumption model: modeling diesel and hybrid buses
    • Edwardes W., Rakha H. Virginia tech comprehensive power-based fuel consumption model: modeling diesel and hybrid buses. Transp. Res. Rec. 2014, 2428:1-9. 10.3141/2428-01.
    • (2014) Transp. Res. Rec. , vol.2428 , pp. 1-9
    • Edwardes, W.1    Rakha, H.2
  • 7
    • 77952331298 scopus 로고    scopus 로고
    • Light-duty vehicle greenhouse gas emission standards and corporate average fuel economy standards; final rule
    • EPA, NHTSA, 2010. Light-duty vehicle greenhouse gas emission standards and corporate average fuel economy standards; final rule. Fed. Regist., Rules Regulations 75, 25324-25728.
    • (2010) Fed. Regist., Rules Regulations , vol.75 , pp. 25324-25728
  • 8
    • 84957886583 scopus 로고    scopus 로고
    • (accessed 08.06.14).
    • EPA, n.d. A. How Vehicles Are Tested [WWW Document]. (accessed 08.06.14). http://www.fueleconomy.gov/feg/how_tested.shtml.
    • How Vehicles Are Tested [WWW Document]
  • 9
    • 84957884709 scopus 로고    scopus 로고
    • (accessed 08.06.14).
    • EPA, n.d. B. Detailed Test Information [WWW Document]. (accessed 08.06.14). http://www.fueleconomy.gov/feg/fe_test_schedules.shtml.
    • Detailed Test Information [WWW Document]
  • 11
    • 84892841354 scopus 로고    scopus 로고
    • The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
    • Fagnant D.J., Kockelman K.M. The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transp. Res. Part C: Emerg. Technol. 2014, 40:1-13. 10.1016/j.trc.2013.12.001.
    • (2014) Transp. Res. Part C: Emerg. Technol. , vol.40 , pp. 1-13
    • Fagnant, D.J.1    Kockelman, K.M.2
  • 12
    • 84928886679 scopus 로고    scopus 로고
    • Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
    • Fagnant D.J., Kockelman K. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A: Policy Pract. 2015, 77:167-181. 10.1016/j.tra.2015.04.003.
    • (2015) Transp. Res. Part A: Policy Pract. , vol.77 , pp. 167-181
    • Fagnant, D.J.1    Kockelman, K.2
  • 13
    • 84936985295 scopus 로고    scopus 로고
    • A real-time adaptive signal control in a connected vehicle environment
    • Engineering and Applied Sciences Optimization (OPT-i) - Professor Matthew G. Karlaftis Memorial Issue
    • Feng Y., Head K.L., Khoshmagham S., Zamanipour M. A real-time adaptive signal control in a connected vehicle environment. Transp. Res. Part C: Emerg. Technol. 2015, 55:460-473. Engineering and Applied Sciences Optimization (OPT-i) - Professor Matthew G. Karlaftis Memorial Issue. 10.1016/j.trc.2015.01.007.
    • (2015) Transp. Res. Part C: Emerg. Technol. , vol.55 , pp. 460-473
    • Feng, Y.1    Head, K.L.2    Khoshmagham, S.3    Zamanipour, M.4
  • 14
    • 84862292059 scopus 로고    scopus 로고
    • Energy and autonomous urban land vehicles
    • Folsom T.C. Energy and autonomous urban land vehicles. IEEE Technol. Soc. Mag. 2012, 31:28-38. 10.1109/MTS.2012.2196339.
    • (2012) IEEE Technol. Soc. Mag. , vol.31 , pp. 28-38
    • Folsom, T.C.1
  • 17
    • 84939783935 scopus 로고    scopus 로고
    • Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles
    • advance online publication
    • Greenblatt J.B., Saxena S. Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles. Nat. Clim. Change 2015, advance online publication. 10.1038/nclimate2685.
    • (2015) Nat. Clim. Change
    • Greenblatt, J.B.1    Saxena, S.2
  • 18
    • 85027948406 scopus 로고    scopus 로고
    • Analysis of a cooperative variable speed limit system using microscopic traffic simulation
    • Grumert E., Ma X., Tapani A. Analysis of a cooperative variable speed limit system using microscopic traffic simulation. Transp. Res. Part C: Emerg. Technol. 2015, 52:173-186. 10.1016/j.trc.2014.11.004.
    • (2015) Transp. Res. Part C: Emerg. Technol. , vol.52 , pp. 173-186
    • Grumert, E.1    Ma, X.2    Tapani, A.3
  • 23
    • 85015558322 scopus 로고    scopus 로고
    • Virginia tech comprehensive power-based fuel consumption model (VT-CPFM): model validation and calibration considerations
    • Park S., Rakha H., Ahn K., Moran K. Virginia tech comprehensive power-based fuel consumption model (VT-CPFM): model validation and calibration considerations. Int. J. Transp. Sci. Technol. 2013, 2:317-336. 10.1260/2046-0430.2.4.317.
    • (2013) Int. J. Transp. Sci. Technol. , vol.2 , pp. 317-336
    • Park, S.1    Rakha, H.2    Ahn, K.3    Moran, K.4
  • 24
    • 0035255485 scopus 로고    scopus 로고
    • An experimental comparative study of autonomous and co-operative vehicle-follower control systems
    • Rajamani R., Shladover S.E. An experimental comparative study of autonomous and co-operative vehicle-follower control systems. Transp. Res. Part C: Emerg. Technol. 2001, 9:15-31. 10.1016/S0968-090X(00)00021-8.
    • (2001) Transp. Res. Part C: Emerg. Technol. , vol.9 , pp. 15-31
    • Rajamani, R.1    Shladover, S.E.2
  • 25
    • 79960848385 scopus 로고    scopus 로고
    • Virginia tech comprehensive power-based fuel consumption model: model development and testing
    • Rakha H.A., Ahn K., Moran K., Saerens B., den Bulck E.V. Virginia tech comprehensive power-based fuel consumption model: model development and testing. Transp. Res. Part D: Transp. Environ. 2011, 16:492-503. 10.1016/j.trd.2011.05.008.
    • (2011) Transp. Res. Part D: Transp. Environ. , vol.16 , pp. 492-503
    • Rakha, H.A.1    Ahn, K.2    Moran, K.3    Saerens, B.4    den Bulck, E.V.5
  • 26
    • 84889817815 scopus 로고    scopus 로고
    • Assessment of alternative polynomial fuel consumption models for use in intelligent transportation systems applications
    • Saerens B., Rakha H., Ahn K., Van den Bulck E. Assessment of alternative polynomial fuel consumption models for use in intelligent transportation systems applications. J. Intell. Transp. Syst. 2013, 17:294-303. 10.1080/15472450.2013.764801.
    • (2013) J. Intell. Transp. Syst. , vol.17 , pp. 294-303
    • Saerens, B.1    Rakha, H.2    Ahn, K.3    Van den Bulck, E.4
  • 28
    • 84986186760 scopus 로고    scopus 로고
    • Impacts of cooperative adaptive cruise control on freeway traffic flow
    • Shladover S., Su D., Lu X.-Y. Impacts of cooperative adaptive cruise control on freeway traffic flow. Transp. Res. Rec. J. Transp. Res. Board 2012, 2324:63-70. 10.3141/2324-08.
    • (2012) Transp. Res. Rec. J. Transp. Res. Board , vol.2324 , pp. 63-70
    • Shladover, S.1    Su, D.2    Lu, X.-Y.3
  • 30
    • 84910090345 scopus 로고    scopus 로고
    • Supplementary benefits from partial vehicle automation in an ecoapproach and departure application at signalized intersections
    • Wu G., Boriboonsomsin K., Xia H., Barth M. Supplementary benefits from partial vehicle automation in an ecoapproach and departure application at signalized intersections. Transp. Res. Rec. J. Transp. Res. Board 2014, 2424:66-75. 10.3141/2424-08.
    • (2014) Transp. Res. Rec. J. Transp. Res. Board , vol.2424 , pp. 66-75
    • Wu, G.1    Boriboonsomsin, K.2    Xia, H.3    Barth, M.4
  • 31
    • 84893057315 scopus 로고    scopus 로고
    • Methodology for quantification of fuel reduction potential for adaptive cruise control relevant driving strategies
    • Zlocki A., Themann P. Methodology for quantification of fuel reduction potential for adaptive cruise control relevant driving strategies. IET Intell. Transp. Syst. 2014, 8:68-75. 10.1049/iet-its.2012.0095.
    • (2014) IET Intell. Transp. Syst. , vol.8 , pp. 68-75
    • Zlocki, A.1    Themann, P.2


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