The model is made up of six sub-models, which are traffic light model, traffic generation model, traffic driving model, velocity restricting model, map description model, map analysis model.
在此基础上，建立了交通仿真模型，包含六个子模型，分别是交通信号灯变化模型、车辆产生模型、车辆行驶模型、车速限定模型、路网描述模型、路网分析模型。
It includes urban road traffic net structure model, traffic flow generation model, vehicle run behavior model, and urban road traffic net analysis model.
该体系结构由城市道路交通网络结构模型、交通生成模型、车辆行驶行为模型、城市道路交通网络分析模型四类模型组成。
The classification probability model of household can provide the element datum of traffic trip generation forecast which use cross classification method.
建立家庭分类概率模型，可以对使用交叉分类分析法的交通产生预测提供基础数据。
The classification probability model of household can provide the element datum of traffic trip generation forecast which use cross classification method.
建立家庭分类概率模型，可以对使用交叉分类分析法的交通产生预测提供基础数据。
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