Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data: A Case Study in Japan

Hodaka Matsushita, Takaki Hayashi

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

Abstract

As of the end of October 2017, the utilization of ETC 2.0 in Japan is about 15%, which is growing at a faster rate than its predecessor ETC1.0. ETC 2.0 probe data is designed to store new data fields, or features, such as position information history of the vehicle and abrupt driving maneuver history. Up to the present, the use of these data has not been well spreading, and the government of Japan supports the utilization of ETC 2.0 by the administrative and private enterprises. In this study, we aim to explore a new, effective use of ETC 2.0 probe data. The probe data is sizable, accumulating about 400 GB for one month. Analysis is conducted focusing on the number of abrupt driving maneuver in ten most popular tourist areas in the Greater Tokyo Area ('Kanto region') from April 2015 to March 2016. Using the ETC 2.0 probe data, we propose a methodology to quantify abrupt driving maneuver of individual drivers and to evaluate their driving behaviors with a view towards business applications in mind.

Original languageEnglish
Title of host publication8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding
EditorsXiaopu Shang, Guowei Hua, Dash Wu, Runtong Zhang, Juliang Zhang, Anqiang Huang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669655
DOIs
Publication statusPublished - 2018 Dec 27
Event8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Toronto, Canada
Duration: 2018 Aug 32018 Aug 6

Publication series

Name8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding

Conference

Conference8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018
CountryCanada
CityToronto
Period18/8/318/8/6

Fingerprint

Japan
Quantification
Probe
Industry
Driver
Quantify
Methodology
Evaluate
Tokyo
Tourists
Government
Private enterprise

Keywords

  • Big data
  • ETC2.0
  • Sudden braking
  • Sudden steering
  • Zero-inflated Poisson regression model

ASJC Scopus subject areas

  • Strategy and Management
  • Computer Networks and Communications
  • Information Systems and Management
  • Control and Optimization

Cite this

Matsushita, H., & Hayashi, T. (2018). Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data: A Case Study in Japan. In X. Shang, G. Hua, D. Wu, R. Zhang, J. Zhang, & A. Huang (Eds.), 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding [8593263] (8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LISS.2018.8593263

Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data : A Case Study in Japan. / Matsushita, Hodaka; Hayashi, Takaki.

8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding. ed. / Xiaopu Shang; Guowei Hua; Dash Wu; Runtong Zhang; Juliang Zhang; Anqiang Huang. Institute of Electrical and Electronics Engineers Inc., 2018. 8593263 (8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding).

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

Matsushita, H & Hayashi, T 2018, Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data: A Case Study in Japan. in X Shang, G Hua, D Wu, R Zhang, J Zhang & A Huang (eds), 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding., 8593263, 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding, Institute of Electrical and Electronics Engineers Inc., 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018, Toronto, Canada, 18/8/3. https://doi.org/10.1109/LISS.2018.8593263
Matsushita H, Hayashi T. Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data: A Case Study in Japan. In Shang X, Hua G, Wu D, Zhang R, Zhang J, Huang A, editors, 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2018. 8593263. (8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding). https://doi.org/10.1109/LISS.2018.8593263
Matsushita, Hodaka ; Hayashi, Takaki. / Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data : A Case Study in Japan. 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding. editor / Xiaopu Shang ; Guowei Hua ; Dash Wu ; Runtong Zhang ; Juliang Zhang ; Anqiang Huang. Institute of Electrical and Electronics Engineers Inc., 2018. (8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding).
@inproceedings{f2418b7c128f4616bcd1d578b50059a8,
title = "Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data: A Case Study in Japan",
abstract = "As of the end of October 2017, the utilization of ETC 2.0 in Japan is about 15{\%}, which is growing at a faster rate than its predecessor ETC1.0. ETC 2.0 probe data is designed to store new data fields, or features, such as position information history of the vehicle and abrupt driving maneuver history. Up to the present, the use of these data has not been well spreading, and the government of Japan supports the utilization of ETC 2.0 by the administrative and private enterprises. In this study, we aim to explore a new, effective use of ETC 2.0 probe data. The probe data is sizable, accumulating about 400 GB for one month. Analysis is conducted focusing on the number of abrupt driving maneuver in ten most popular tourist areas in the Greater Tokyo Area ('Kanto region') from April 2015 to March 2016. Using the ETC 2.0 probe data, we propose a methodology to quantify abrupt driving maneuver of individual drivers and to evaluate their driving behaviors with a view towards business applications in mind.",
keywords = "Big data, ETC2.0, Sudden braking, Sudden steering, Zero-inflated Poisson regression model",
author = "Hodaka Matsushita and Takaki Hayashi",
year = "2018",
month = "12",
day = "27",
doi = "10.1109/LISS.2018.8593263",
language = "English",
series = "8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Xiaopu Shang and Guowei Hua and Dash Wu and Runtong Zhang and Juliang Zhang and Anqiang Huang",
booktitle = "8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding",

}

TY - GEN

T1 - Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data

T2 - A Case Study in Japan

AU - Matsushita, Hodaka

AU - Hayashi, Takaki

PY - 2018/12/27

Y1 - 2018/12/27

N2 - As of the end of October 2017, the utilization of ETC 2.0 in Japan is about 15%, which is growing at a faster rate than its predecessor ETC1.0. ETC 2.0 probe data is designed to store new data fields, or features, such as position information history of the vehicle and abrupt driving maneuver history. Up to the present, the use of these data has not been well spreading, and the government of Japan supports the utilization of ETC 2.0 by the administrative and private enterprises. In this study, we aim to explore a new, effective use of ETC 2.0 probe data. The probe data is sizable, accumulating about 400 GB for one month. Analysis is conducted focusing on the number of abrupt driving maneuver in ten most popular tourist areas in the Greater Tokyo Area ('Kanto region') from April 2015 to March 2016. Using the ETC 2.0 probe data, we propose a methodology to quantify abrupt driving maneuver of individual drivers and to evaluate their driving behaviors with a view towards business applications in mind.

AB - As of the end of October 2017, the utilization of ETC 2.0 in Japan is about 15%, which is growing at a faster rate than its predecessor ETC1.0. ETC 2.0 probe data is designed to store new data fields, or features, such as position information history of the vehicle and abrupt driving maneuver history. Up to the present, the use of these data has not been well spreading, and the government of Japan supports the utilization of ETC 2.0 by the administrative and private enterprises. In this study, we aim to explore a new, effective use of ETC 2.0 probe data. The probe data is sizable, accumulating about 400 GB for one month. Analysis is conducted focusing on the number of abrupt driving maneuver in ten most popular tourist areas in the Greater Tokyo Area ('Kanto region') from April 2015 to March 2016. Using the ETC 2.0 probe data, we propose a methodology to quantify abrupt driving maneuver of individual drivers and to evaluate their driving behaviors with a view towards business applications in mind.

KW - Big data

KW - ETC2.0

KW - Sudden braking

KW - Sudden steering

KW - Zero-inflated Poisson regression model

UR - http://www.scopus.com/inward/record.url?scp=85061494313&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061494313&partnerID=8YFLogxK

U2 - 10.1109/LISS.2018.8593263

DO - 10.1109/LISS.2018.8593263

M3 - Conference contribution

AN - SCOPUS:85061494313

T3 - 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding

BT - 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018 - Proceeding

A2 - Shang, Xiaopu

A2 - Hua, Guowei

A2 - Wu, Dash

A2 - Zhang, Runtong

A2 - Zhang, Juliang

A2 - Huang, Anqiang

PB - Institute of Electrical and Electronics Engineers Inc.

ER -