限制优化模型用于动态停车位分配
Abdelrahman Osman Elfaki1, Wassim Messoudi1, Anas Bushnag1
1Faculty of Computers & Information Technology, University of Tabuk, Tabuk 47512, Saudi Arabia.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
本研究介绍了动态停车系统的约束优化模型. 它智能地分配停车位,考虑到用户的时间表和约束,提高效率.
科学领域:
- 运营研究 运营研究
- 智能运输系统 智能运输系统
- 计算机科学 计算机科学
背景情况:
- 管理汽车停车系统涉及复杂的组织和运营约束.
- 动态分配停车位面临重大挑战.
- 现有的系统往往缺乏智能优先级和动态分发能力.
研究的目的:
- 为动态停车位分配引入一个约束优化模型.
- 为高效的停车管理开发和介绍一个特设算法.
- 提供一个智能优先级机制,考虑用户的时间表和停车限制.
主要方法:
- 为动态停车分配开发一个约束优化模型.
- 一个新的特设算法的建议和解释.
- 实施拟议的模型以证明适用性.
- 构建一个具有明确定义的测量指标的基准,用于验证.
主要成果:
- 拟议的模型证明了有效的动态停车位分配.
- 智能优先级机制成功考虑了用户的时间安排变化和停车限制.
- 特别算法促进了适合停车位的动态分配.
- 通过构建基准的验证证实了模型的性能.
结论:
- 开发的约束优化模型为动态汽车停车管理提供了一个智能解决方案.
- 拟议的方法通过根据用户需求和系统限制动态分配合适的停车位来提高停车效率.
- 该研究为智能停车优先级和分配提供了一种经过验证的方法.
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