Optimizing Last-mile Delivery by Integrating Autonomous Delivery Vehicle: Impact of the Customer Density
编号:426 访问权限:仅限参会人 更新:2021-12-03 10:21:04 浏览:124次 张贴报告

报告开始:2021年12月17日 09:37(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T3] Track 3 Vehicle Operation Engineering and Transportation Management

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摘要
To reduce the negative effects of transportation on congestion, safety, and the environment in large city centers, one technology-enabled opportunity that recently has received much attention is the use of Autonomous Delivery Vehicles (ADV) to support freight transportation focusing on last-mile delivery. An innovative last-mile delivery concept is proposed that a van collaborates with an ADV to make deliveries, which gives rise to a new layer of the Vehicle Routing Problem (TSP) that we call it Two echelon Vehicle Routing Problem with mixed vehicles (2E-VRP-MV). This paper presents a mathematical formulation for the van-ADV two-echelon vehicle routing problem. The primary objective of this study is to develop a mixed-integer program model in terms of minimizing the logistics operating cost and emission using van-ADV. The formulation captures the van-ADV characteristics during the ADV dispatching and accounts for operation constraints related to capacity limitations. Also, we would like to apply it to an experiment considering the impact of customer density.
关键词
CICTP
报告人
DAN Liu
CHANG'AN UNIVERSITY

稿件作者
DAN Liu CHANG'AN UNIVERSITY
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

主办单位
Chinese Overseas Transportation Association
Chang'an University
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