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自行车与机动车混行是我国道路上最常见的交通流形式,而元胞自动机(CA)是研究交通流的有力工具。实际观察表明,与高、低速机动车混合交通流不同,自行车流对机动车流的影响形式主要是摩擦干扰而非阻滞干扰。鉴于此提出了一种考虑摩擦干扰的自行车-机动车混合交通流元胞自动机模型,自行车与机动车分道行驶,但当自行车距离机动车道很近时将给机动车带来侧向安全压力从而引起机动车的减速。通过仿真试验,发现摩擦干扰使得机动车流量-密度曲线更加平滑,并且随着自行车密度增大,中、低密度车流的流量有显著降低,而高密度车流的流量没有明显变化,通过与实测数据的对比,证明该模型能够反映真实混合交通流的关键特性。
Bicycles and motor vehicles are the most common form of traffic flow on the road in our country. Cellular automaton (CA) is a powerful tool to study traffic flow. The actual observation shows that, different from the mixed traffic flow of high and low-speed motor vehicles, the impact of bicycle flow on the motor flow is mainly friction rather than blocking. In view of this, a cellular automata model of mixed traffic flow considering the frictional disturbance is presented, in which the bicycle and the motor vehicle are separated from each other, but when the bicycle is close to the motor vehicle lane, lateral safety pressure Thus causing the motor vehicle to slow down. Through the simulation test, it is found that the frictional disturbance makes the flow rate-density curve smoother and the flow rate of medium and low density flow decreases significantly with the increase of bicycle density. However, the flow of high density flow does not change obviously. The comparison proves that the model can reflect the key characteristics of real mixed traffic flow.