该模型在上海市交通信息网格及移动导航系统中取得了良好的实施效果。
Such model has been implemented successfully in Shanghai Traffic Information Grid and Mobile Navigation System.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
通过在某市交通信息网格项目中的应用，表明该模型具有信息完备、结构清晰、简洁实用等优点。
The utilization of this data model in some city traffic information grid confirms its advantages of self-contained description, legible structure and practicability.
在交通信息集成的应用过程中证明该模型易于扩展并具有较好的柔性。
In the application of the process of traffic information integration, it proves that the model is easy to extend and has good flexibility.
针对各种交通信息的实时更新，提出了最优代价模型以实现真正的最优路径规划。
Considering the real-time traffic information updated, optimal cost model is proposed to realize the optimal route planning.
系统具有采集区域交通网络交通信息、根据采集到的交通信息构建交通模型、依据交通模型优化交通网络的功能。
This system have follow functions: gathering traffic information, building traffic model use traffic information, selecting arithmetic to optimize the traffic network.
基于智能交通运输系统的背景，研究提供公共交通信息的条件下公交换乘时间最短的调度问题，提出线性规划模型，并用界例进行了演示。
Based on Intelligent Transport Systems, the paper provides deadheading in minimum time of public transfer under the condition of traffic information. The paper developed a Linear Programming model.
基于智能交通运输系统的背景，研究提供公共交通信息的条件下公交换乘时间最短的调度问题，提出线性规划模型，并用界例进行了演示。
Based on Intelligent Transport Systems, the paper provides deadheading in minimum time of public transfer under the condition of traffic information. The paper developed a Linear Programming model.
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