NDLI: Connected vehicle safety science, system, and framework

Content Provider	IEEE Xplore Digital Library
Author	Kuan-Wen Chen Hsin-Mu Tsai Chih-Hung Hsieh Shou-De Lin Chieh-Chih Wang Shao-Wen Yang Shao-Yi Chien Chia-Han Lee Yu-Chi Su Chun-Ting Chou Yuh-Jye Lee Hsing-Kuo Pao Ruey-Shan Guo Chung-Jen Chen Ming-Hsuan Yang Bing-Yu Chen Yi-Ping Hung
Copyright Year	2014
Description	Author affiliation: Intel-NTU Connected Context Comput. Center, Nat. Taiwan Univ., Taipei, Taiwan (Kuan-Wen Chen; Hsin-Mu Tsai; Chih-Hung Hsieh; Shou-De Lin; Chieh-Chih Wang; Shao-Wen Yang; Shao-Yi Chien; Chia-Han Lee; Yu-Chi Su; Chun-Ting Chou; Yuh-Jye Lee; Hsing-Kuo Pao; Ruey-Shan Guo; Chung-Jen Chen; Ming-Hsuan Yang; Bing-Yu Chen; Yi-Ping Hung)
Abstract	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.
Sponsorship	IEEE Commun. Soc.
Starting Page	235
Ending Page	240
File Size	1127442
Page Count	6
File Format	PDF
ISBN	9781479934591
DOI	10.1109/WF-IoT.2014.6803165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Driver assistance system Visualization Intelligent transportation system Internet-of-things Motorcycles Cameras Connected vehicle Trajectory Safety Mirrors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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