基于启发式的车辆安排,用于ro-ro船只
Mingyuan Zhai1,2, Zhongyuan Jin1, Zelin Yan1
1Information Science and Engineering School, Northeastern University, Shenyang, 110819, Liaoning, China.
Scientific reports
|December 27, 2024
概括
这项研究引入了一种新型的多车辆规划系统,以实现高效的罗罗运输船载载荷. 它优化了车辆的布局和轨迹,降低了成本并防止了碰撞.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 运营研究 运营研究
- 人工智能的人工智能
背景情况:
- 滚动式 (ro-ro) 运输器的有效装载对于降低运输成本至关重要.
- 现有的方法通常只针对车辆运输的特定方面,导致整体效率低于最佳.
- 碰撞冲突和效率低下的空间利用是多车辆调度的重大挑战.
研究的目的:
- 开发一个综合战略,用于多车辆布局和轨迹规划在ro-ro运营商.
- 尽量减少车辆装载的调度时间和空间要求.
- 创建适用于各种2D和3D场景的通用算法框架.
主要方法:
- 一个双层搜索策略,结合了改进的无适合多边形算法和改进的车辆布局蝙蝠算法.
- 一种利用改进的D*Lite算法 (ID*Lite) 和改进的贝齐尔曲线进行轨迹生成的时空调度策略.
- 一个冲突解决策略,以减轻多辆车调度期间的碰撞.
主要成果:
- 与主流方法相比,实现了更高的甲板利用率 (92.234%),特别是在高负载压力下.
- 在模拟中证明了更短的路径长度和更少的碰撞冲突.
- 成功地将停车位生成,停车订单生成,路径查找,路径优化和调度集成到一个完整的规划过程中.
结论:
- 拟议的综合战略大大降低了车辆装载在ro-ro运输船上的时间和空间成本.
- 开发的算法框架为多车辆规划提供了一个全面的解决方案,可以适应各种环境.
- 这种方法提高了复杂的车辆运输物流的整体效率和安全性.
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