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应用跟驰理论,引入两车道优化速度的权重组合来刻画驾驶员换道趋势,同时考虑多前车速度差信息对驾驶行为的影响,建立了两车道的微观跟驰模型.在此基础上,基于交通流微观和宏观参量之间的关联关系,将上述跟驰模型中的微观变量转变成宏观变量,进而建立了一个两车道宏观动力学模型.由于综合考虑了多种因素对驾驶行为的影响,该模型更符合实际交通状况.数值模拟表明:该模型可以很好的模拟交通中的冲击波和稀疏波,且避免了特征速度大于宏观车流平均车速的缺陷.
Applying Car-following theory, the weight combination of two-lane optimization speed is introduced to characterize the driver’s lane-changing trend while taking into account the influence of the speed difference information of the leading car on the driving behavior and establishing a two-lane microcar- behing model.On this basis, Based on the correlation between micro and macro parameters of traffic flow, the micro-variables in the car-following model are transformed into macro-variables, and then a two-lane macro-dynamics model is established.Because of considering the influence of many factors on driving behavior , The model is more in line with the actual traffic conditions.Numerical simulation shows that the model can simulate the shock and sparse waves in traffic well and avoid the defect that the characteristic speed is larger than the average speed of the macro traffic flow.