A real-time transportation prediction system

Authors:
Haiguang Li;Zhao Li;Robert T. White;Xindong Wu
Affiliations:
The University of Vermont, Burlington, USA 05405;TCL Research America, Santa Clara, USA 95054;State of Vermont AOT, Montpelier, USA 05633;The University of Vermont, Burlington, USA 05405
Venue:
Applied Intelligence
Year:
2013

Citing 16
Cited 1

Random Forests

Machine Learning
CAIM Discretization Algorithm

IEEE Transactions on Knowledge and Data Engineering
Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy

IEEE Transactions on Pattern Analysis and Machine Intelligence
The feature selection problem: traditional methods and a new algorithm

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Bagging, boosting, and C4.S

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
On the application of fuzzy-based flow control approach to High Altitude Platform communications

Applied Intelligence
Estimating continuous distributions in Bayesian classifiers

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Using the absolute difference of term occurrence probabilities in binary text categorization

Applied Intelligence
Mining fastest path from trajectories with multiple destinations in road networks

Knowledge and Information Systems
Conditional likelihood maximisation: a unifying framework for information theoretic feature selection

The Journal of Machine Learning Research
A GPS-free method for vehicle future movement directions prediction using SOM for VANET

Applied Intelligence
A real time traffic simulator utilizing an adaptive fuzzy inference mechanism by tuning fuzzy parameters

Applied Intelligence
Discriminative Feature Selection by Nonparametric Bayes Error Minimization

IEEE Transactions on Knowledge and Data Engineering
Using mutual information for selecting features in supervised neural net learning

IEEE Transactions on Neural Networks
Cooperative driving: an ant colony system for autonomous intersection management

Applied Intelligence

Hierarchical control of traffic signals using Q-learning with tile coding

Applied Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, the use of advanced technologies such as wireless communication and sensors in intelligent transportation systems has made a significant increase in traffic data available. With this data, traffic prediction has the ability to improve traffic conditions and to reduce travel delays by facilitating better utilization of available capacity. This paper presents a real-time transportation prediction system named VTraffic for Vermont Agencies of Transportation by integrating traffic flow theory, advanced sensors, data gathering, data integration, data mining and visualization technologies to estimate and visualize the current and future traffic. In the VTraffic system, acoustic sensors were installed to monitor and to collect real-time data. Reliable predictions can be obtained from historical data and be verified and refined by the current and near future real-time data.