Title
Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique.
Abstract
The vehicle location prediction based on their spatial and temporal information is an important and difficult task in many applications. In the last few years, devices, such as connected vehicles, smart phones, GPS navigation systems, and smart home appliances, have amassed the large stores of geographic data. The task of leveraging this data by employing moving objects database techniques to pred...
Year
DOI
Venue
2018
10.1109/TITS.2017.2750075
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Trajectory,Hidden Markov models,Predictive models,Databases,Uncertainty,Roads,Pattern matching
Data mining,Computer vision,Data collection,Markov model,Home automation,Artificial intelligence,Engineering,Hidden Markov model,Pattern matching,Recursion,Grid,Trajectory
Journal
Volume
Issue
ISSN
19
7
1524-9050
Citations 
PageRank 
References 
5
0.39
0
Authors
6
Name
Order
Citations
PageRank
Shaojie Qiao120125.93
Nan Han2698.64
Junfeng Wang36011.62
Rong-Hua Li438133.77
Louis Alberto Gutierrez5291.74
Xindong Wu68830503.63