DocumentCode :
11335
Title :
Potential Predictability of Vehicular Staying Time for Large-Scale Urban Environment
Author :
Yong Li ; Wenyu Ren ; Depeng Jin ; Pan Hui ; Lieguang Zeng ; Dapeng Wu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
63
Issue :
1
fYear :
2014
fDate :
Jan. 2014
Firstpage :
322
Lastpage :
333
Abstract :
The newly emerged vehicular communication network is seen as a key technology for solving increasingly serious vehicular traffic congestion and improving road safety. New applications of vehicular networks are also emerging at the same time. Predicting vehicular staying time is vital to both solving the vehicular system problem and building efficient vehicular networking. How much the vehicular staying duration of visits to different areas can be predicted is still an open and unsolved problem. In this paper, we use real vehicular traces in Beijing and Shanghai to explore the limit of predictability of the vehicular visiting time in different areas in large cities, and we analyze the impact of different precision and slot time on predictability. We conclude that using a proper time slot is an efficient way of prediction, and a higher predictability can be achieved if the requirement for precision is reduced. Among all the cases that we studied, we find the predictability to be 76.3% for Beijing and 82.5% for Shanghai in the case with the smallest slot time and reasonable requirements for precision.
Keywords :
mobile radio; prediction theory; road safety; road traffic; Beijing; Shanghai; large-scale urban environment; road safety; time slot; vehicular communication network; vehicular staying time; vehicular traffic congestion; vehicular visiting time; Prediction; staying time; vehicular mobility;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2013.2271320
Filename :
6547734
Link To Document :
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