基于系统最优的自动卡车运输专用网络设计优化
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福州大学经济与管理学院

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中图分类号:

TP18; U495

基金项目:

国家自然科学基金(71701049,71871159,71901069),福建省自然科学基金(2020J05040),教育部人文社科规划基金项目(21YJA630096),福建省雏鹰计划青年拔尖人才计划(0470-00472214),福建省科技经济融合服务平台资助(0300-82321069)


Optimal Design of A Dedicated Network for Automated Truck Transportation Based on System Optimum
Author:
Affiliation:

Fuzhou University, School of Economics and Management

Fund Project:

the National Natural Science Foundation of China under Grant 71701049, 71871159 and 71901069, the Natural Science Foundation of Fujian Province, China under Grant 2020J05040, the Humanities and Social Science Foundation of the Chinese Ministry of Education under Grant 21YJA630096, The 2nd Fujian Young Eagle Program Youth Top Talent Program under Grant 0470-00472214, and Fujian science and technology economic integration service platform under Grant 0300-82321069.

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    摘要:

    为保障交通系统安全性和卡车货运自动化的发展, 有必要对自动卡车货物运输专用网络进行科学规划与布局. 考虑自动卡车专用道会减少普通车辆的路权, 对普通车辆的出行路径选择行为造成影响. 首先, 从路网整体出发, 以系统出行时间最小为目标, 充分考虑路网普通车辆的出行路径选择行为, 构建了一种新的自动卡车专用运输网络设计的双层规划模型. 其次, 提出了一种基于实数编码的改进差分进化算法求解建立的双层规划模型, 不仅保证解的可行性,还避免了复杂的不可行解修复过程. 最后, 通过 Sioux Falls 基准网络实例和大量随机算例对比测试结果验证了模型和算法的有效性.

    Abstract:

    Scientific planning of a dedicated network for automated truck cargo transportation is necessary to ensure the transportation system safety and the development of truck cargo automation. Considering the dedicated lanes for automated trucks will reduce the right-of-way of general-purpose vehicles and impact the travel path selection behavior of general-purpose vehicles. Firstly, this paper develops a new bi-level programming model for designing a dedicated transportation network for automated trucks to minimize the system travel time by considering general-purpose vehicles’ travel path selection behavior from the perspective of the overall system. Then, an improved differential evolutionary algorithm based on a real number coding is proposed to solve the established bi-level program, specifically including a preprocessing strategy based on the problem characteristics and efficient real number coding rules, which not only ensures the feasibility of the solution but also avoids the complex infeasible solution repair process. Finally, the effectiveness of the model and algorithm is verified by the experimental results of Sioux Falls benchmark network and a large number of randomly generated instances.

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  • 收稿日期:2022-01-16
  • 最后修改日期:2022-04-25
  • 录用日期:2022-04-27
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