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| Intelligent GIS-Based Road Accident Analysis and Real-Time Monitoring Automated System using WiMAX/GPRS
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Full
text: |
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Complete Issue PDF(4.38MB) |
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Volume: 2 Issue: 1 |
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Pages: 1-68 |
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Publication
Date: February 2008 |
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ISSN
(Online): 1985-2312 |
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Pages |
1 - 7 |
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Author(s) |
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Published
Date |
30-02-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: GIS, Accident, WiMAX, GPRS, LBS, Monitoring |
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| It has been a big concern for many people and government to reduce the amount of road accident
specially in Malaysia since it could be a big threat to this country. Malaysian government has spent
millions of money in order to reduce the number of accident occurrence through several modes of
campaign. Unfortunately, from years to years the number keeps increasing. The lack of a comprehensive
accident recording and analysis system in Malaysia can be effective in these kinds of problems. By
making use of IRAS (Intelligent Road Accident System), the police would be control and manage whole
accident events as a real-time monitoring system. This system exploits WiMAX and GPRS
communications to connect to the server for transfer the specific data to the data center. This system can
be used for a comprehensive intelligent GIS-based solution for accident analysis and management. The
system is developed based on object and aspect oriented software design such as .NET technology. |
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| 1 |
M.A. Abdel-Aty, A.E. Radwan. “Modelling traffic accident occurrence and involvement”. Accident Analysis and Prevention, 32(5):633-642, 2000 |
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C. Andersson. “Wireless Developer Network web page”. Online. Available HTTP: < http://wirelessdevnet.com/channels/lbs/features/mobileposition.html> (Accessed on 25 Jan 2008). |
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B. Brumitt, B. Meyers, J. Krumm, A. Kern, and S. Shafer. “Easyliving: Technologies for intelligent environments”. Second Int. Symp. On Handhelds and Ubiquitous Computing (HUC 200), pp. 12-29, Bristol, UK, 2000 |
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| 4 |
A. Ceder, M. Livneh. “Relationships between road accidents and hourly traffic flow”. Accident Analysis and Prevention, 14(1):19-34, 1986 |
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| 5 |
E. Hauer. “On the estimation of the expected number of accidents”. Accident Analysis and Prevention, 18(1):1-12, 1986 |
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| 6 |
G.T. Heineman. “An Evaluation of Component adaptation Techniques, in 2nd ICSE workshop on Component-Based Software Engineering”, Orlando, FL, 1999 |
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| 7 |
Kh. Eldrandaly. “COM-based Spatial Decision Support System for Industrial Site Selection”. Geographic Information and Decision Analysis, 7(2):72-92, 2003 |
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| 8 |
U. Kubach. K. Rothermel. “Exploiting Location Information for Infostation-Based Hoarding, in Proceedings of the seventh ACM SIGMOBILE. Annual International Conference on Mobile Computing and Networking” Rome, Italy, pp. 15-27, 2001 |
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P.C. Lai, W.Y. Chan. “GIS for Road Accident Analysis in Hong Kong” .Geographic Information Sciences, 10(1):58-67, 2004 |
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M. Moeglein. “An Introduction to SnapTrack Server-Aided GPS Technology”, SnapTrack, Campbell, CA. Online Available HTTP: (Accessed on 23 Jan 2008), 2001 |
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| 11 |
OpenLS (Open Location Services). Initiative. Online. Available HTTP: (Accessed on 20 Jan 2008), 2001 |
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Snap Track, “Location Technologies for GSM, GPRS and WCDMA Networks”. Online. Available HTTP: (Accessed on 25 Jan 2008), 2002 |
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| 13 |
R.J. Stewart. “Applications of Classification and Regression Tree Methods in Roadway Safety Studies”, 1996 |
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| 14 |
C. Stephanidis. “Adaptive Techniques For Universal Access”. User Modeling and User-Adapted Interaction, 11(1-2):159-197, 2001 |
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| 15 |
Wireless World Forum (WWF), “Location-based services – long term optimism prevails”.Online. Available HTTP: (accessed 10 Jan 2008), 2002 |
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| 16 |
M. Zao, R, Katz. “Achieving service portability using self-adaptive data paths”. IEEE Communications Magazine, 40(1):108-114, 2002 |
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| 1 |
A. Mustafa , A. H. A. Hashim , O. Khalifa and S. A. Hamed, “Adaptive Emotional Personality Model based on Fuzzy Logic Interpretation of Five Factor Theory”, Signal Processing: An International Journal (SPIJ), 2(4), pp. 1 – 9, August 2008. |
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| 2 |
B. Crump and K. Logan, “The Interplay of Third Place, Self-efficacy, Social and Human Capital in a New Zealand Community ICT Youth Project”, The Electronic Journal Information Systems Evaluation, 14(1), pp. 1-11, 2011. |
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| 3 |
J. R. Ferreira and J. C. Ferreira, “Georeferencing Road Accidents with Google Earth: Transforming Information into Knowledge for Decision Support”, The Electronic Journal Information Systems Evaluation, 14(1), pp. 27-36, 2011. |
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| 1 |
TechRepublic |
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MENDELEY |
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docin |
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Universiti Putra Malaysia and Advanced Technology Institute |
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doc88.com |
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DOC-TXT |
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ZDNet |
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| Ahmad Rodzi Mahmud : Colleagues
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| Ehsan Zarrinbashar : Colleagues
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