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Planning and scheduling highway construction using GIS and dynamic programming.

机译:使用GIS和动态编程来规划和调度高速公路建设。

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摘要

This study presents a model to plan, schedule and control the construction of highway projects.; A two-state-variable, N-stage dynamic programming procedure, in conjunction with a set of heuristic rules, is capable of generating schedules to meet a specified budget or duration restraints, and can select the optimum expediting technique to reduce project duration. The proposed model incorporates both typical (equal quantity of work in all units) and non-typical (varying quantities along highway length) repetitive activities in the optimization procedure. The proposed model accounts for the impact of practical factors, such as transverse obstructions, on crew assignment and project duration and cost. The impact of inclement weather on crew productivity is accounted for, as well as the beneficial effects of the learning curve. A relational database model is developed to store: (1) local weather conditions, (2) swell and shrinkage factors for various soil types, and (3) the available resource pool. The model supports tracking and controlling project progress utilising the earned value concept. A flexible and practical methodology is proposed to forecast project time and cost at completion, enabling the assignment of a higher weight to recent crew performance.; A prototype software based on the model is developed, coded in Visual C++ (version 6.0), employing object oriented programming. ArcView® version 3.1 is employed as the GIS engine, and the 3-D data analysis is carried out employing ArcView® 3D Analyst. (Abstract shortened by UMI.)
机译:该研究提出了一个计划,计划和控制公路项目建设的模型。带有一组启发式规则的两状态变量,N阶段动态编程过程,能够生成满足指定预算或工期限制的进度表,并可以选择最佳的加速技术以减少项目工期。所提出的模型在优化过程中考虑了典型的(所有单位的工作量相等)和非典型的(沿公路长度变化的量)重复活动。提出的模型考虑了诸如横向障碍物等实际因素对船员分配以及项目工期和成本的影响。考虑了恶劣天气对船员生产力的影响,以及学习曲线的有益影响。开发了一个关系数据库模型来存储:(1)当地的天气情况,(2)各种土壤类型的膨胀和收缩因子,以及(3)可用的资源库。该模型支持利用挣值概念来跟踪和控制项目进度。提出了一种灵活而实用的方法来预测项目完成时的时间和成本,从而可以将更高的权重分配给近期的船员表现。开发了基于该模型的原型软件,并采用面向对象的编程方法在Visual C ++(6.0版)中进行了编码。 GIS引擎采用ArcView ® 3.1版,并使用ArcView ® 3D Analyst进行3-D数据分析。 (摘要由UMI缩短。)

著录项

  • 作者

    Hassanein, Ahmed.;

  • 作者单位

    Concordia University (Canada).;

  • 授予单位 Concordia University (Canada).;
  • 学科 Engineering Civil.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 282 p.
  • 总页数 282
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;遥感技术;
  • 关键词

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