Pinpoint

An efficient approach to traffic state estimation system using mobile probes

Quang Tran Minh, Eiji Kamioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper proposes a novel, nicknamed the "Pinpoint", method for an efficient and robust traffic estimation system using mobile phones as traffic probes. In this approach, the real-time traffic data is collected and sent to the server at the right time by the right players by which only the utilized data is reported by travelling vehicles. Mobile phones from walkers are prevented from sending data to reduce the data transmission load. In additions, this approach consists of a robust vehicle classification method based on only the GPS data. This novel feature improves not only the accuracy in estimating the seriousness of congestions but also the scalability of the system. This proposed approach can be flexibly applied in any traffic system structure, especially in developing countries where a lot of motorbikes are travelling on the roads. The evaluation shows that our proposed method is more efficient, effective and scalable compared to the existing ones.

Original languageEnglish
Title of host publication2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs
Publication statusPublished - 2010
Event2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu
Duration: 2010 Sep 232010 Sep 25

Other

Other2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
CityChengdu
Period10/9/2310/9/25

Fingerprint

State estimation
Mobile phones
traffic
Developing countries
Data communication systems
Global positioning system
Scalability
Servers
system structure
developing country
road
evaluation
time

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Cite this

Minh, Q. T., & Kamioka, E. (2010). Pinpoint: An efficient approach to traffic state estimation system using mobile probes. In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 [5600173] https://doi.org/10.1109/WICOM.2010.5600173

Pinpoint : An efficient approach to traffic state estimation system using mobile probes. / Minh, Quang Tran; Kamioka, Eiji.

2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010. 2010. 5600173.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Minh, QT & Kamioka, E 2010, Pinpoint: An efficient approach to traffic state estimation system using mobile probes. in 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010., 5600173, 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, Chengdu, 10/9/23. https://doi.org/10.1109/WICOM.2010.5600173
Minh QT, Kamioka E. Pinpoint: An efficient approach to traffic state estimation system using mobile probes. In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010. 2010. 5600173 https://doi.org/10.1109/WICOM.2010.5600173
Minh, Quang Tran ; Kamioka, Eiji. / Pinpoint : An efficient approach to traffic state estimation system using mobile probes. 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010. 2010.
@inproceedings{6b61fd642cb64711b53509df7d05e012,
title = "Pinpoint: An efficient approach to traffic state estimation system using mobile probes",
abstract = "This paper proposes a novel, nicknamed the {"}Pinpoint{"}, method for an efficient and robust traffic estimation system using mobile phones as traffic probes. In this approach, the real-time traffic data is collected and sent to the server at the right time by the right players by which only the utilized data is reported by travelling vehicles. Mobile phones from walkers are prevented from sending data to reduce the data transmission load. In additions, this approach consists of a robust vehicle classification method based on only the GPS data. This novel feature improves not only the accuracy in estimating the seriousness of congestions but also the scalability of the system. This proposed approach can be flexibly applied in any traffic system structure, especially in developing countries where a lot of motorbikes are travelling on the roads. The evaluation shows that our proposed method is more efficient, effective and scalable compared to the existing ones.",
author = "Minh, {Quang Tran} and Eiji Kamioka",
year = "2010",
doi = "10.1109/WICOM.2010.5600173",
language = "English",
isbn = "9781424437092",
booktitle = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010",

}

TY - GEN

T1 - Pinpoint

T2 - An efficient approach to traffic state estimation system using mobile probes

AU - Minh, Quang Tran

AU - Kamioka, Eiji

PY - 2010

Y1 - 2010

N2 - This paper proposes a novel, nicknamed the "Pinpoint", method for an efficient and robust traffic estimation system using mobile phones as traffic probes. In this approach, the real-time traffic data is collected and sent to the server at the right time by the right players by which only the utilized data is reported by travelling vehicles. Mobile phones from walkers are prevented from sending data to reduce the data transmission load. In additions, this approach consists of a robust vehicle classification method based on only the GPS data. This novel feature improves not only the accuracy in estimating the seriousness of congestions but also the scalability of the system. This proposed approach can be flexibly applied in any traffic system structure, especially in developing countries where a lot of motorbikes are travelling on the roads. The evaluation shows that our proposed method is more efficient, effective and scalable compared to the existing ones.

AB - This paper proposes a novel, nicknamed the "Pinpoint", method for an efficient and robust traffic estimation system using mobile phones as traffic probes. In this approach, the real-time traffic data is collected and sent to the server at the right time by the right players by which only the utilized data is reported by travelling vehicles. Mobile phones from walkers are prevented from sending data to reduce the data transmission load. In additions, this approach consists of a robust vehicle classification method based on only the GPS data. This novel feature improves not only the accuracy in estimating the seriousness of congestions but also the scalability of the system. This proposed approach can be flexibly applied in any traffic system structure, especially in developing countries where a lot of motorbikes are travelling on the roads. The evaluation shows that our proposed method is more efficient, effective and scalable compared to the existing ones.

UR - http://www.scopus.com/inward/record.url?scp=78549236832&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78549236832&partnerID=8YFLogxK

U2 - 10.1109/WICOM.2010.5600173

DO - 10.1109/WICOM.2010.5600173

M3 - Conference contribution

SN - 9781424437092

BT - 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

ER -