TY - GEN
T1 - Quantification of Abrupt Driving Maneuver Utilizing ETC 2.0 Probe Data
T2 - 8th International Conference on Logistics, Informatics and Service Sciences, LISS 2018
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.
Y2 - 3 August 2018 through 6 August 2018
ER -