流量预测精度对控制效果的影响

this paper studies the effect of flow predicting error on traffic control performance to present the precision demand to flow predicting model. According to data of Jiangxi Road in Qingdao city, this paper analyses the predicting precision of conventional linear predicting model. Basic to flow predicting model’s effect on flow rate and cycle length, this paper evaluates the effect on traffic control performance including delay and capacity. The result root in analyses shows data smoothing method can reduce predicting error and lessen the effect on control performance. Meanwhile when the error of the linear predicting model is 10%, the effect on delay and capacity is less than 5%, which shows conventional linear model is feasible in practical signal timing and can simplify the complexity of system to improve performance efficiency.