Theory for promoting distribution of transport behavioural data with privacy protected

2014 Fiscal Year Final Research Report

• Project/Area Number: 25630217
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Civil engineering project/Traffic engineering
• Research Institution: Kobe University
• Principal Investigator: IRYO TAKAMASA 神戸大学, 工学(系)研究科(研究院), 教授 (10362758)
• Co-Investigator(Kenkyū-buntansha): HARA Yusuke 東北大学, 大学院情報科学研究科, 助教 (50647683) ; KUSAKABE Takahiko 東京工業大学, 大学院理工学研究科, 助教 (80604610)
• Project Period (FY): 2013-04-01 – 2015-03-31
• Keywords: 個人情報 / 匿名化 / 交通システム / ビッグデータ

Outline of Final Research Achievements

This study constructed a theoretical framework that is necessary to build a system collecting and processing transport behavioural data from public with privacy protected and value of the data preserved. Abstract models describing collection processes of transport behavioural data and its utilisation were built. Combining these two models, trade-offs between anonymously and value of the data obtained from public were evaluated. In addition, existing techniques in the information science field has been reviewed to apply them to the theory developed in this study. We showed that, in the context of the transport system management, anonymising privacy by aggregating individual data and cutting tracked trajectories does not deteriorate its value very much, while data indicating travellers' near-future action is more important. Further, we proposed an approach to utilising data for planning purpose with privacy protected.

Free Research Field

交通工学