...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer-Aided Civil and Infrastructure Engineering >A simulation-based optimization model for infrastructure planning for electric autonomous vehicle sharing
【24h】

A simulation-based optimization model for infrastructure planning for electric autonomous vehicle sharing

机译：电动自主车辆共享基础设施规划的基于仿真优化模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

New transportation technologies (e.g., electric autonomous vehicles [EAVs]) and operation paradigms (e.g., car sharing) are discussed, researched, and to a small degree also deployed in recent years in response to rising energy crises and aggravating traffic congestions. In this research, we present a station-based car-sharing service system that integrates both EAV technologies and car-sharing operations. Based on the simulation model, a dynamic and time-continuous optimization model seeking a near-optimum design of charging station location and EAV deployment is developed. By discretizing the model, we proposed a Monte Carlo simulation model to evaluate the total system cost for a given location and vehicle deployment design. A heuristic approach based on the genetic algorithm is developed to solve the system design of station location and vehicle deployment. A numerical test in Yantai City, China, is conducted to illustrate the effectiveness of the proposed model and to draw managerial insights into how the key parameters affect the system design.
机译：讨论了新的运输技术（例如，电动自主车辆[EAVS]）和操作范式（例如，汽车分享），并在近年来近年来仍有少年部署的较小程度，以应对上升的能量危机和加剧交通拥堵。在这项研究中，我们提出了一个基于站的汽车共享服务系统，它集成了EAV Technologies和Car-Sharing操作。基于仿真模型，开发了寻求充电站位置和EAV部署的近最佳优化模型的动态和连续优化模型。通过离散模型，我们提出了一个蒙特卡罗模拟模型，以评估给定位置和车辆部署设计的总系统成本。开发了一种基于遗传算法的启发式方法来解决站点位置和车辆部署的系统设计。在中国烟台市进行了一个数值测试，以说明所提出的模型的有效性，并绘制了关键参数如何影响系统设计的管理洞察。

著录项

  • 来源
  • 作者

    Zhao Dongfang; Li Xiaopeng; Cui Jianxun;

  • 作者单位

    Univ S Florida Dept Civil & Environm Engn 4202 E Fowler Ave CUT 222 Tampa FL 33620 USA;

    Univ S Florida Dept Civil & Environm Engn 4202 E Fowler Ave CUT 222 Tampa FL 33620 USA;

    Harbin Inst Technol Sch Transportat Sci & Engn Harbin Heilongjiang Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号