Dynamic effect of vehicle types on traffic state estimation

Quang Minh Tran, Muhammad Ariff Baharudin, Eiji Kamioka, Shigeki Yamada

研究成果: Conference contribution

抄録

Vehicles in different types such as bus, truck, car, motorbike may differently affect traffic state. This paper proposes a notable model to dynamically identify the effect of different vehicle types on traffic state estimation. In addition, a novel traffic state quantification model considering these effects was proposed. Here, traffic states can be quantified into levels using the GPS data reported by mobile devices. The effectiveness of the proposed solutions was analyzed and evaluated thoroughly using the experimental data. The proposed model is flexible and effective enough to be applied in complicated traffic infrastructures where not only automobiles but also motorbikes travel in the road network as in developing countries.

元の言語English
ホスト出版物のタイトル2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013
ページ32-37
ページ数6
DOI
出版物ステータスPublished - 2013
外部発表Yes
イベント2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013 - Ho Chi Minh City
継続期間: 2013 1 212013 1 24

Other

Other2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013
Ho Chi Minh City
期間13/1/2113/1/24

Fingerprint

State estimation
traffic
traffic infrastructure
Developing countries
Mobile devices
Trucks
Automobiles
Global positioning system
Railroad cars
road network
quantification
motor vehicle
travel
developing country

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

これを引用

Tran, Q. M., Baharudin, M. A., Kamioka, E., & Yamada, S. (2013). Dynamic effect of vehicle types on traffic state estimation. : 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013 (pp. 32-37). [6482361] https://doi.org/10.1109/ComManTel.2013.6482361

Dynamic effect of vehicle types on traffic state estimation. / Tran, Quang Minh; Baharudin, Muhammad Ariff; Kamioka, Eiji; Yamada, Shigeki.

2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013. 2013. p. 32-37 6482361.

研究成果: Conference contribution

Tran, QM, Baharudin, MA, Kamioka, E & Yamada, S 2013, Dynamic effect of vehicle types on traffic state estimation. : 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013., 6482361, pp. 32-37, 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013, Ho Chi Minh City, 13/1/21. https://doi.org/10.1109/ComManTel.2013.6482361
Tran QM, Baharudin MA, Kamioka E, Yamada S. Dynamic effect of vehicle types on traffic state estimation. : 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013. 2013. p. 32-37. 6482361 https://doi.org/10.1109/ComManTel.2013.6482361
Tran, Quang Minh ; Baharudin, Muhammad Ariff ; Kamioka, Eiji ; Yamada, Shigeki. / Dynamic effect of vehicle types on traffic state estimation. 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013. 2013. pp. 32-37
@inproceedings{6e7c24e85eec4e5fa2b5a420bb266790,
title = "Dynamic effect of vehicle types on traffic state estimation",
abstract = "Vehicles in different types such as bus, truck, car, motorbike may differently affect traffic state. This paper proposes a notable model to dynamically identify the effect of different vehicle types on traffic state estimation. In addition, a novel traffic state quantification model considering these effects was proposed. Here, traffic states can be quantified into levels using the GPS data reported by mobile devices. The effectiveness of the proposed solutions was analyzed and evaluated thoroughly using the experimental data. The proposed model is flexible and effective enough to be applied in complicated traffic infrastructures where not only automobiles but also motorbikes travel in the road network as in developing countries.",
keywords = "different vehicle types, ITS, Mobile probes, traffic state estimation",
author = "Tran, {Quang Minh} and Baharudin, {Muhammad Ariff} and Eiji Kamioka and Shigeki Yamada",
year = "2013",
doi = "10.1109/ComManTel.2013.6482361",
language = "English",
isbn = "9781467320870",
pages = "32--37",
booktitle = "2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013",

}

TY - GEN

T1 - Dynamic effect of vehicle types on traffic state estimation

AU - Tran, Quang Minh

AU - Baharudin, Muhammad Ariff

AU - Kamioka, Eiji

AU - Yamada, Shigeki

PY - 2013

Y1 - 2013

N2 - Vehicles in different types such as bus, truck, car, motorbike may differently affect traffic state. This paper proposes a notable model to dynamically identify the effect of different vehicle types on traffic state estimation. In addition, a novel traffic state quantification model considering these effects was proposed. Here, traffic states can be quantified into levels using the GPS data reported by mobile devices. The effectiveness of the proposed solutions was analyzed and evaluated thoroughly using the experimental data. The proposed model is flexible and effective enough to be applied in complicated traffic infrastructures where not only automobiles but also motorbikes travel in the road network as in developing countries.

AB - Vehicles in different types such as bus, truck, car, motorbike may differently affect traffic state. This paper proposes a notable model to dynamically identify the effect of different vehicle types on traffic state estimation. In addition, a novel traffic state quantification model considering these effects was proposed. Here, traffic states can be quantified into levels using the GPS data reported by mobile devices. The effectiveness of the proposed solutions was analyzed and evaluated thoroughly using the experimental data. The proposed model is flexible and effective enough to be applied in complicated traffic infrastructures where not only automobiles but also motorbikes travel in the road network as in developing countries.

KW - different vehicle types

KW - ITS

KW - Mobile probes

KW - traffic state estimation

UR - http://www.scopus.com/inward/record.url?scp=84875915058&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875915058&partnerID=8YFLogxK

U2 - 10.1109/ComManTel.2013.6482361

DO - 10.1109/ComManTel.2013.6482361

M3 - Conference contribution

AN - SCOPUS:84875915058

SN - 9781467320870

SP - 32

EP - 37

BT - 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013

ER -