• DocumentCode
    3727611
  • Title

    A framework of winter road maintenance optimization

  • Author

    Wen-jun Tang; Gen-he Zhang; Ming-jun Liao

  • Author_Institution
    Xining Bureau of highway construction, Qinghai, CN 810000
  • fYear
    2015
  • Firstpage
    1057
  • Lastpage
    1061
  • Abstract
    The road maintenance is a significant challenge for the northern cities. Each city usually spends large amount of capital on the operations of winter maintenance during winter. The paper mainly introduces the system components of winter maintenance of urban road and the decision-making levels of the maintenance operations, then discusses the optimization models of system design, snow disposal, and vehicle routing, at last, gives the framework of maintenance decision support system. In solving the optimization model, intelligent algorithms like tabu search algorithm, simulated annealing algorithm, genetic algorithm, ant colony optimization, and artificial neural network algorithm will play important role. Considering the neglect of winter maintenance optimization by government and local department, the object of the paper is to stimulate the research and the development of winter maintenance optimization through in China.
  • Keywords
    "Roads","Maintenance engineering","Snow","Optimization","Vehicles","Cities and towns","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378138
  • Filename
    7378138