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| 路段行程时间多时间尺度预测方法 | |
| 引用本文： | 汪 林,洪晓龙,马 雷,于 悦.路段行程时间多时间尺度预测方法[J].交通标准化,2012(20):105-108. |
| 作者姓名： | 汪 林 洪晓龙 马 雷 于 悦 |
| 作者单位： | 1. 交通运输部公路科学研究院智能交通技术交通行业重点实验室,北京,100088 2. 乌鲁木齐市城市综合交通项目研究中心,新疆乌鲁木齐,830000 3. 燕山大学车辆与能源学院,河北秦皇岛,066004 |
| 摘 要： | 采用长春市实际调查数据对一种基于浮动车的路段行程时间多时间尺度预测方法进行仿真实验,结果表明基于该方法的交通流路段行程时间多时间尺度预测结果与真实值之间的平均绝对相对误差均小于7%,完全满足路段行程时间预测的精度要求。 |
| 关 键 词： | 智能交通系统 多时间尺度预测 人工神经网络 路段行程时间 |
Multi-time Scale Prediction Method for Road-section Travel Time |
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| WANG Lin,HONG Xiao-long,MA Lei and YU Yue.Multi-time Scale Prediction Method for Road-section Travel Time[J].Communications Standardization,2012(20):105-108. | |
| Authors: | WANG Lin HONG Xiao-long MA Lei and YU Yue |
| Institution: | 1.Key Laboratory of Intelligent Transportation Technology in Research Institute of Highway MOT,Beijing 100088,China; 2.Comprehensive Urban Transportation Projects Research Center in Urumqi,Urumqi 830000,China; 3.College of Vehicle and Energy,Yanshan University,Qinhuangdao 066004,China) |
| Abstract: | The paper puts forward a multi-time scale prediction method for road-section travel time based on probe vehicle.A simulation experiment based on the investigated data of Changchun city is designed.The result shows that both absolute and relative deviation between multi time scale predictive data and true data are less than 7%,which fully satisfies the prediction accuracy requirement for road-section travel time. |
| Keywords: | intelligent transportation system multi-time scale prediction artificial neural network road-section travel time |
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