Establishment of Pavement Information Decision Management Platform via Cloud Computing Technology

Abstract:

With the time progress and constant promotion of information technology, the living quality of people is improved relative to economic development and people constantly demand the government to improve service effectiveness. In order to save manpower and material resources, it is an inevitable trend for road authorities to develop pavement management system of government electronization. However, the existing pavement management systems at home mainly comprise basic investigation data on road condition, current situation analysis and suggestion of maintenance threshold, road maintenance priority decision analysis and other management purposes, so as to promote the efficiency and quality of pavement management operation. While, most of the systems have the disadvantages of different maintenance planning decision making approaches, insufficient project construction history data, chaotic use of drawings, too little available knowledge, failure to integrate information and so on, so it is unable to establish an effective system to assist engineers as the control function, which causes a major obstacle relative to the development of pavement management system. The loss of pavement engineering history data with time would cause difficulty in data collection for future pavement analysis. Therefore, how to resolve the above problems becomes a major assistance for the future pavement maintenance knowledge decision management. The study establishes cloud computing pavement information decision management platform in the form of implementation via Google public cloud computing, validates the feasibility through practical cases, utilizes cloud drive real-time data processing, electronic document management, graphical pavement information and figuration management analysis through the software provided by Google, improves the budget for control efficiency and enhances the promotion of pavement management system, so as to accord with the study objective.

• Periodical: Advanced Materials Research (Volume 723)
• Pages: 829-837
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.723.829
• Online since: August 2013
• Authors: Chih Chung Yang, Jyh Dong Lin
• Keywords: Cloud Computing, Google Earth, IRI, Pavement Management System (PMS)

References

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