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An evaluation framework of automated electric transportation system

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  • Jansuwan, Sarawut
  • Liu, Zhaocai
  • Song, Ziqi
  • Chen, Anthony

Abstract

Automated Electric Transportation (AET) is an innovative concept that aims to integrate energy, vehicle, highway, and communication infrastructures. It provides an electrified transportation system to support in-motion energy transfer through wireless charging of inductive coupling in the highway. A considerable body of previous research has sought to understand and improve the cooperative vehicle and existing infrastructure system. This research is one of the few studies that propose the frameworks that aim to simultaneously deal with both recent advances in vehicle automation and electrified highways to increase overall transportation system performance. The objective of this study is to develop an evaluation framework of the AET system. It focuses on three measures of effectiveness (MOEs): i) the system capacity, ii) energy savings, and iii) environmental emission reduction. They are examined based on simulated vehicle activity profiles. Results are provided to illustrate the performance of the system capabilities. Our results also contribute to an understanding of the key factors that can increase AET performance, and potentially impacts on future transportation mobility and sustainability.

Suggested Citation

  • Jansuwan, Sarawut & Liu, Zhaocai & Song, Ziqi & Chen, Anthony, 2021. "An evaluation framework of automated electric transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    • Handle: RePEc:eee:transe:v:148:y:2021:i:c:s1366554521000417
    DOI: 10.1016/j.tre.2021.102265
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    Cited by:

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    2. Luxiao Yang & Qizhi Jin & Feng Fu, 2024. "Research on Urban Street Network Structure Based on Spatial Syntax and POI Data," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    3. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    4. Yi Yang & Jiaying Gu & Siyu Huang & Meilin Wen & Yong Qin, 2022. "Application of Uncertain AHP Method in Analyzing Travel Time Belief Reliability in Transportation Network," Mathematics, MDPI, vol. 10(19), pages 1-20, October.

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