摘要
根据入口匝道控制系统原理分析了交通控制中需检测的交通参数,运用人工神经网络方法对城市快速路入口匝道的调节率进行控制并进行了仿真。仿真结果表明,神经网络技术在城市快速路入口匝道控制中可得到良好的控制效果。
According to the principle of the on-ramp control system, the traffic parameters needing to be measured were analyzed. A neural network method on entrance ramp of urban expressway was used, with the on-ramp metering rate reached. The result of the simulation expatiates that the technology of ANN has a good effect on the on-ramp metering.
出处
《辽宁工业大学学报（自然科学版）》
2008年第5期330-332,共3页
Journal of Liaoning University of Technology(Natural Science Edition)
关键词
城市快速路
神经网络
入口匝道控制
urban expressway
artificial neural network
on-ramp metering
