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Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways

Michael Cruz Ehsan Yahyazadeh Rineh Sergio Alberto Luna Fong Ruey Long Cheu Ziqi Song

International Journal of Transportation Science and Technology2025,Vol.19Issue(3):P.282-299,18.
International Journal of Transportation Science and Technology2025,Vol.19Issue(3):P.282-299,18.DOI:10.1016/j.ijtst.2024.11.001

Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways

Michael Cruz 1Ehsan Yahyazadeh Rineh 2Sergio Alberto Luna Fong 3Ruey Long Cheu 2Ziqi Song4

作者信息

  • 1. Department of Aerospace&Mechanical Engineering,The University of Texas at El Paso,El Paso,TX 79968,United States
  • 2. Department of Civil Engineering,The University of Texas at El Paso,El Paso,TX 79968,United States
  • 3. Department of Industrial,Manufacturing&Systems Engineering,The University of Texas at El Paso,El Paso,TX 79968,United States
  • 4. Department of Civil,Structural&Environmental Engineering,University of Buffalo,Buffalo,NY 14260-1660,United States
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摘要

关键词

Electric vehicle(EV)/Charging demand/Charging station(CS)/Port occupancy/Traffic assignment/Adoption rate

分类

交通工程

引用本文复制引用

Michael Cruz,Ehsan Yahyazadeh Rineh,Sergio Alberto Luna Fong,Ruey Long Cheu,Ziqi Song..Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways[J].International Journal of Transportation Science and Technology,2025,19(3):P.282-299,18.

基金项目

supported by the National Science Foundation(NSF)under Award No.1941524 Engineering Research Center for Advancing Sustainability through Powered Infrastructure for Roadway Electrification(ASPIRE). (NSF)

International Journal of Transportation Science and Technology

2046-0430

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