Green Vehicle Routing Problem: The Tradeoff between Travel Distance and Carbon Emissions

Cheng Yuan Wu, Thammarsat Visutarrom, Tsung Che Chiang

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Recently, the green vehicle routing problem (GVRP) starts to attract the attention of researchers due to the awareness of the environmental impact of transportation. The GRVP is an extension of the classical VRP by taking minimization of travel distance as well as carbon emissions as the objectives. In this paper, we solved the GVRP by a multiobjective evolutionary algorithm to find the set of Pareto optimal solutions. We found that the tradeoff between travel distance and carbon emissions is small with a load-distance emission model and a parameter setting in the literature. The tradeoff becomes significant only when the emissions of an empty vehicle and of a full-load vehicle differ a lot. Whether the GVRP should be treated as a multiobjective optimization problem (MOP) or not needs more investigation in the future.

原文英語
主出版物標題2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1659-1664
頁數6
ISBN(電子)9781538695821
DOIs
出版狀態已發佈 - 2018 十二月 18
事件15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, 新加坡
持續時間: 2018 十一月 182018 十一月 21

出版系列

名字2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

其他

其他15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
國家新加坡
城市Singapore
期間18/11/1818/11/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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  • 引用此

    Wu, C. Y., Visutarrom, T., & Chiang, T. C. (2018). Green Vehicle Routing Problem: The Tradeoff between Travel Distance and Carbon Emissions. 於 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 (頁 1659-1664). [8581240] (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2018.8581240