Paper Info
Title
Uncertain Low Penetration Rate -- A Practical Issue in Mobile Intelligent Transportation Systems
Abstract
Low penetration rate is one of the essential issues in the mobile phone based traffic state estimation model. This paper proposes an appropriate genetic algorithm (GA) mechanism to optimize the traffic state estimation model even in cases of low penetration rate. This mechanism also reduces the critical penetration rate, thus improves the error-tolerance as well as the scalability of the traffic state estimation system. The paper also investigates the ANN-based prediction model to overcome the weakness of the GA-based traffic state estimation approach when the penetration rate becomes unacceptably low. In addition, the effect of different level related road segments on the prediction effectiveness is thoroughly discussed. Consequently, this study provides practically useful instructions in verifying the data missing rate at different level related road segments to ensure the prediction accuracy. The experimental evaluations reveal the effectiveness and the robustness of the proposed solutions.
Year
DOI
Venue
2012
10.1109/AINA.2012.36
AINA
Keywords
Field
DocType
data missing rate,different level,traffic state estimation model,critical penetration rate,ann-based prediction model,ga-based traffic state estimation,uncertain low penetration rate,mobile intelligent transportation systems,practical issue,traffic state estimation system,penetration rate,road segment,low penetration rate,genetic algorithm,genetic algorithms,artificial neural network,accuracy,mathematical model,neural nets,prediction model,neural network
Penetration (firestop),Computer science,Simulation,Error tolerance,Robustness (computer science),Mobile phone,Intelligent transportation system,Artificial neural network,Reliability engineering,Genetic algorithm,Distributed computing,Scalability
Conference
ISSN
Citations 
PageRank 
1550-445X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Quang Tran Minh19722.78
Muhammad Ariff Baharudin242.13
Eiji Kamioka39621.65