DocumentCode
3735016
Title
A freeway travel time predicting method based on IoV
Author
Daxin Tian;Chao Liu;Yunpeng Wang;Guohui Zhang;Haiying Xia
Author_Institution
Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control, School of Transportation Science and Engineering, Beihang University, 100191, China
fYear
2015
Firstpage
1
Lastpage
5
Abstract
Real-time travel time is one of the important value for traffic management and traffic control. With the help of Internet of Vehicles (IOV), the dynamic traffic information can be collected and distributed more correctly. In this paper, we propose a method to predict the remaining travel time (RTT) for a vehicle on the freeway in the IOV environment. The Markov chains are adopted to predict a vehicle´s remaining travel time in real-time. The experimental results prove that the mean absolute percent error (MAPE) is less than 10%.
Keywords
"Vehicles","Traffic control","Intelligent vehicles","Markov processes","Computational modeling","Cloud computing"
Publisher
ieee
Conference_Titel
Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on
Type
conf
DOI
10.1109/WF-IoT.2015.7389017
Filename
7389017
Link To Document