المملكة العربية السعودية

الجمعية الجغرافية السعودية

المجلة العربية لنظم المعلومات الجغرافية

A comprehensive Geographic Information System (GIS) to determine the risky traffic locations

عدد المشاهدات 71 

Dr. Abdullah bin Mohammed Al Qarni 

Vol (4), No. (1), 1432 / 2011

p.p. 65 – 137

Abstract:

When traffic accidents reoccur in the same location, this indicates that such location is affected by one or more factors that led to the recurrence of such traffic accidents. In order to study such locations and to identify their problems, we find that many of the studies lack the documentation and monitoring of accurate information about such accidents and their circumstances, and miscellaneous information about those locations. For that reason, this study has set out to propose a comprehensive and easy-to-apply geographic information system that contains the best types of available techniques to determine the risky traffic locations

An appropriate database was designed for this system, based on certain data such as the Global Positioning Systems (GPS) and the Satellite pictures and geographic information systems (GIS). The necessary preparations were worked out in order to make this system easy and mobile in the moving vehicles with the aim of making the examination and inspection at the accident location and to record the information. Likewise, appropriate programs and Arabic interfaces have been used in the system, and moreover the system was provided with the ability to receive ground photography and video recordings.

It is expected that such system might be useful for traffic police in the field as well as for the decision makers in their offices for the study and analysis. The system is equally useful for the judiciary and insurance institutions to resolve some legal issues, when the accidents become complicated and it becomes difficult to arrive at a resolution about them; as it provides a reliable and credible historical record of such cases.

Finally, this research proposes an advanced comprehensive system to diagnose the risky traffic locations and to define the causes of accidents and reduce accidents and to improve and support the process of taking appropriate decisions.

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Professor of Civil Engineering – Faculty of Engineering – King Saud University (KSU)

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