首页> 外文会议>Australasian joint conference on artificial intelligence >A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions
【24h】

A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions

机译:一种混合整数规划方法,用于安排城市地区的道路

获取原文

摘要

In order to keep roads in acceptable condition, and to perform maintenance of essential infrastructure, roadworks are required. Due to the increasing traffic volumes and the increasing urbanisation, road agencies are currently facing the problem of effective planning frequent -and usually concurrent roadworks in the controlled region. However, there is a lack of techniques that can support traffic authorities in this task. In fact, traffic authorities have usually to rely on human experts (and their intuition) to decide how to schedule and perform roadworks. In this paper, we introduce a Mixed-Integer Programming approach that can be used by traffic authorities to plan a set of required roadworks, over a period of time, in a large urban region, by specifying constraints to be satisfied and suitable quality metrics.
机译:为了使道路保持在可接受的状态,并进行维护基础设施,需要道路工程。 由于交通量增加和城市化日益增长的城市化,道路机构目前面临有效规划频繁的问题 - 以及受控地区的同时的道路工程。 但是,缺乏可以支持此任务中交通当局的技术。 事实上,交通当局通常依靠人体专家(及其直觉)来决定如何安排和执行道路工作。 在本文中,我们介绍了一种混合整数的编程方法,可以通过指定满足和适当的质量指标的约束来规划一组所需的道路工程。

著录项

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