Assuring accuracy on low penetration rate mobile phone-based traffic state estimation system

Quang Tran Minh; Eiji Kamioka

doi:10.1109/VETECF.2011.6092917

Assuring accuracy on low penetration rate mobile phone-based traffic state estimation system

Quang Tran Minh, Eiji Kamioka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper investigates the effect of the penetration rate on the effectiveness of the mobile phone-based traffic state estimation. As a result, the acceptable penetration rate is identified. This recognition is useful for the investigating to bring the traffic state estimation using mobile phones as traffic probes into the real world application. In addition, an adaptive velocity-density estimation model, namely the velocity-density inference circuit, is proposed to improve the accuracy of the average velocity and the density estimations in cases of low penetration rate. Furthermore, a neural network-based prediction model is introduced to assure the effectiveness of the velocity/density estimation when the penetration rate degrades to zero. The experimental evaluations reveal the effectiveness as well as the robustness of the proposed solutions.

Original language	English
Title of host publication	2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs	https://doi.org/10.1109/VETECF.2011.6092917
Publication status	Published - 2011
Event	IEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States Duration: 2011 Sept 5 → 2011 Sept 8

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/Territory	United States
City	San Francisco, CA
Period	11/9/5 → 11/9/8

Keywords

ANN-based prediction
low penetration rate
mobile probes
traffic state estimation
velocity-density inference circuit

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VETECF.2011.6092917

Cite this

Minh, QT & Kamioka, E 2011, Assuring accuracy on low penetration rate mobile phone-based traffic state estimation system. in 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings., 6092917, IEEE Vehicular Technology Conference, IEEE 74th Vehicular Technology Conference, VTC Fall 2011, San Francisco, CA, United States, 11/9/5. https://doi.org/10.1109/VETECF.2011.6092917

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abstract = "This paper investigates the effect of the penetration rate on the effectiveness of the mobile phone-based traffic state estimation. As a result, the acceptable penetration rate is identified. This recognition is useful for the investigating to bring the traffic state estimation using mobile phones as traffic probes into the real world application. In addition, an adaptive velocity-density estimation model, namely the velocity-density inference circuit, is proposed to improve the accuracy of the average velocity and the density estimations in cases of low penetration rate. Furthermore, a neural network-based prediction model is introduced to assure the effectiveness of the velocity/density estimation when the penetration rate degrades to zero. The experimental evaluations reveal the effectiveness as well as the robustness of the proposed solutions.",

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AB - This paper investigates the effect of the penetration rate on the effectiveness of the mobile phone-based traffic state estimation. As a result, the acceptable penetration rate is identified. This recognition is useful for the investigating to bring the traffic state estimation using mobile phones as traffic probes into the real world application. In addition, an adaptive velocity-density estimation model, namely the velocity-density inference circuit, is proposed to improve the accuracy of the average velocity and the density estimations in cases of low penetration rate. Furthermore, a neural network-based prediction model is introduced to assure the effectiveness of the velocity/density estimation when the penetration rate degrades to zero. The experimental evaluations reveal the effectiveness as well as the robustness of the proposed solutions.

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KW - low penetration rate

KW - mobile probes

KW - traffic state estimation

KW - velocity-density inference circuit

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Assuring accuracy on low penetration rate mobile phone-based traffic state estimation system

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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