基于移动Agent的实时道路交通导航系统模型

介绍一个基于移动Agent的实时道路交通导航系统模型，在模型中，移动交通工具启动时间约束的导航需求，系统计算基于路网的最佳路径和实时的交通数据，并将结果返回给移动客户．为了最小化维护数据的开销，系统采用分布式移动Agent的协作方法，减少通信数量和提高系统的可测量性．设计了一个两级的交通图配置组织实时交通数据来支持导航的需求，以减少系统空间和通信的开销．在系统模型中，Agent使用APoP来维护实时的交通数据的一致性．该模型可以有效地提供及时的导航需求服务．

Study on real-time navigation system model of road traffic based on mobile Agent

Introduced a real-time navigation system model of road traffic using mobile agent. In our model, mobile vehicles initiate time-constrained navigation requests and system calculates and communicates the best paths for the clients based on the road network and real-time traffic data. To minimize the overheads of maintaining the real-time data, system adopts a cooperative and distributed approach using mobile agents which can greatly reduce the amount of communications and improves the scalability of the system. To minimize the space and message overheads, this paper designed a two-level traffic graph scheme to organize the real-time traffic data to support navigation requests. In the framework, the agents use an Adaptive PUSH OR PULL (APoP) scheme to maintain the temporal consistency of the traffic data. This system can provide efficient support to serve navigation requests in a timely fashion.