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Sep 21, 2015
Short-Term Travel Time Prediction for a Car Dynamic Navigation System
Authors: Yuxi He, Renjie Du, Tong Zou, Nian Zhang, and Xunfei GaoAuthor Affiliations
Publication: ICTE 2015
Abstract
This paper works on the short-term travel time prediction, aiming at predicting dynamically (or fixed-frequency) by considering dynamic road traffic index volatility and average speed, and then providing the real-time travel time prediction for users in advance. This paper improves the prediction algorithm, referenced to current traffic parameters prediction methods basing on Kalman filter, and solves the time lag and the automatic update of historical average data needed. Then this paper uses 4 evaluation indexes to make known the degree of deviation and goodness of fit between predictive value and actual value, and to verify that improved algorithm could make predictive travel time more accordant with the practical situation.
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© 2015 American Society of Civil Engineers.
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Published online: Sep 21, 2015
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Yuxi He
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
Renjie Du
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
Tong Zou
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
Nian Zhang
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
Xunfei Gao
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.