摘要
In this paper, we propose a framework to develop an M2M-based (machine-to-machine) proactive driver assistance system. Unlike traditional approaches, we take the benefits of M2M in intelligent transportation system (ITS): 1) expansion of sensor coverage, 2) increase of time allowed to react, and 3) mediation of bidding for right of way, to help driver avoiding potential traffic accidents. To develop such a system, we divide it into three main parts: 1) driver behavior modeling and prediction, which collects grand driving data to learn and predict the future behaviors of drivers; 2) M2M-based neighbor map building, which includes sensing, communication, and fusion technologies to build a neighbor map, where neighbor map mentions the locations of all neighboring vehicles; 3) design of passive information visualization and proactive warning mechanism, which researches on how to provide user-needed information and warning signals to drivers without interfering their driving activities.
原文 | English |
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頁面 | 235-240 |
頁數 | 6 |
DOIs | |
出版狀態 | Published - 1 1月 2014 |
事件 | 2014 IEEE World Forum on Internet of Things, WF-IoT 2014 - Seoul, 韓國 持續時間: 6 3月 2014 → 8 3月 2014 |
Conference
Conference | 2014 IEEE World Forum on Internet of Things, WF-IoT 2014 |
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國家/地區 | 韓國 |
城市 | Seoul |
期間 | 6/03/14 → 8/03/14 |