Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Highway and Transportation Research and Development》 2007-06
Add to Favorite Get Latest Update

Estimation Model of Travel Time Based on Fusion Technique from Probe Vehicle and Crossing Data

ZOU Liang1,XU Jian-min2,ZHU Ling-xiang3,WEN Hui-ying2(1.School of Civil Engineering,Shenzhen University,Guangdong Shenzhen 518060,China;2.Scholl of Transportation,South China University of Technology,Guangdong Guangzhou 510640,China;3.School of Science,South China Agricultural University,Guangdong Guangzhou 510642,China)  
Considering the advantages and disadvantages of both probe vehicle and loop techniques,to improve the accuracy and completeness of estimating travel time,a new estimation model of travel time is described based on fusion technique performing travel time studies using probe vehicle and loop detectors.This model uses neural network to fuse the same road detecting data of two detecting techniques to improve the accuracy and completeness of estimating travel time.Finally,the test of the model is verified using random 500 data in 10 roads based on probe vehicle data from 7 000 taxies equipped with GPS receivers,100 fixed detectors fixed in main roads in Guangzhou and electronic map of Guangzhou City.The results indicate that the model is more efficient than probe vehicle and loop technique on estimating travel time.
【Fund】: 国家自然科学基金资助项目(50578064);; 华南农业大学校长基金资助项目(2006K017);; 深圳大学科研启动基金资助项目(自然科学类200721)
【CateGory Index】: U491.116
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved