吴新开
采用交通控制与管理措施来提高高速公路养护作业的安全与效率是在当前我国养护作业量急剧增长的情况下提出的一种重要方法。而如何优化交通控制与管理措施、采用最优的交通控制与管理措施是这种方法的关键。由于高速公路养护作业中的交通控制与管理涉及因素繁多，传统的基于模型的方法很难有效地解决此类问题，因此，本论文采用先进的基于事例推理(Case-based Reasoning,CBR)的方法建立高速公路养护作业交通控制与管理智能决策支持系统来辅助解决此类问题。论文的主要内容包括：
（1）结合国外的研究资料及国内的相关调查研究，论文对影响高速公路养护作业交通控制与管理的各种因素进行详细而全面的分析。
（2）根据因素分析，建立了高速公路养护作业交通控制与管理的典型案例库，此案例库的模式为辅助决策及历史数据的记录提供了很好参考。
（3）根据CBR本身的特点，开发了基于案例分析的高速公路养护作业交通控制与管理智能决策支持系统。
（4）论文最后，为该领域的进一步发展提供了研究的方向。
关键词：高速公路，养护作业，交通控制与管理，因素分析，典型案例，基于案例推理（CBR）
With the rapid increase of the roadway maintenance work in China, the method of applying traffic control and management is one of the most important ways to improve the safety and efficiency of highway maintenance working. And how to optimize the measure of traffic control and management and use the most optimum way is the key to solve this problem. However, because traffic control and management in highway maintenance work concerns many factors, it is difficult to using traditional ways based on modeling to settle this problem. So, this thesis applies advanced case-based reasoning way to build an intelligent decision supporting system of traffic control and management in highway maintenance working to solve these problems. This thesis includes:
(1) On the basis of the related research abroad and domestically, analyzing almost all of the factors that affect the traffic control and management measures in highway maintenance working.
(2) Based on factor analysis, building the typical cases storehouse for traffic control and management in highway maintenance working, which provides the good
(3) According to the characteristics of Case-based reasoning, developing the traffic control and management intelligent decision supporting system of highway maintenance working.
(4) Finally, giving some advice for the future research in this field.
Key Words: Highway, Maintenance work, Traffic control and management, Factor analysis, Classical case, Case-based reasoning (CBR), intelligent decision supporting system (IDSS)
