Name
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%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/WF-IoT.2015.7389017 | WF-IoT |
Keywords | Field | DocType |
Markov chains, Remaining travel time, Travel time prediction, Internet of vehicles | Mean absolute percentage error,Computer science,Simulation,Markov chain,Travel time,The Internet | Conference |
Citations | PageRank | References |
1 | 0.39 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daxin Tian | 1 | 204 | 32.49 |
| Chao Liu | 2 | 99 | 13.53 |
| Yunpeng Wang | 3 | 194 | 25.34 |
| Guohui Zhang | 4 | 1 | 0.39 |
| Haiying Xia | 5 | 17 | 1.03 |