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Using Tensor Completion Method to Achieving Better Coverage of Traffic State Estimation from Sparse Floating Car Data
- Source :
- PLoS ONE, PLoS ONE, Vol 11, Iss 7, p e0157420 (2016)
- Publication Year :
- 2016
- Publisher :
- Public Library of Science, 2016.
-
Abstract
- Traffic state estimation from the floating car system is a challenging problem. The low penetration rate and random distribution make available floating car samples usually cover part space and time points of the road networks. To obtain a wide range of traffic state from the floating car system, many methods have been proposed to estimate the traffic state for the uncovered links. However, these methods cannot provide traffic state of the entire road networks. In this paper, the traffic state estimation is transformed to solve a missing data imputation problem, and the tensor completion framework is proposed to estimate missing traffic state. A tensor is constructed to model traffic state in which observed entries are directly derived from floating car system and unobserved traffic states are modeled as missing entries of constructed tensor. The constructed traffic state tensor can represent spatial and temporal correlations of traffic data and encode the multi-way properties of traffic state. The advantage of the proposed approach is that it can fully mine and utilize the multi-dimensional inherent correlations of traffic state. We tested the proposed approach on a well calibrated simulation network. Experimental results demonstrated that the proposed approach yield reliable traffic state estimation from very sparse floating car data, particularly when dealing with the floating car penetration rate is below 1%.
- Subjects :
- Computer science
Aviation
Intelligence
lcsh:Medicine
Social Sciences
Transportation
02 engineering and technology
Geographical locations
Mathematical and Statistical Techniques
0202 electrical engineering, electronic engineering, information engineering
Range (statistics)
Computer Science::Networking and Internet Architecture
Psychology
lcsh:Science
Intelligent transportation system
Principal Component Analysis
Multidisciplinary
geography.geographical_feature_category
Applied Mathematics
Simulation and Modeling
05 social sciences
Floating car data
Transportation Infrastructure
Physical Sciences
Engineering and Technology
020201 artificial intelligence & image processing
Algorithm
Algorithms
Statistics (Mathematics)
Network analysis
Research Article
Optimization
Computer and Information Sciences
Research and Analysis Methods
Civil Engineering
Wisconsin
0502 economics and business
Computer Simulation
Tensor
Statistical Methods
Traffic generation model
050210 logistics & transportation
geography
business.industry
lcsh:R
Cognitive Psychology
Biology and Life Sciences
Computing Methods
United States
Roads
ComputerSystemsOrganization_MISCELLANEOUS
Multivariate Analysis
North America
Cognitive Science
lcsh:Q
State (computer science)
People and places
business
Automobiles
Mathematics
Water well
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....16ea5a282928aee3a26b3f6352308d59