Transactions on Engineering and Computer Science
Road Condition Quality Management for Smart Transportation: The Power of GIS
Vitalis Ndume and Efata Mlavi
Abstract
In this century engineers, managers, and decision makers are overwhelmed with statistical data for interpretation of road condition for planning purposes. With new development and recording of digital geospatial data acquired from various geometric-GIS have been a useful tool for data manipulation; it simplifies the way data are visualized and interpreted direct. On the other hand, one of the most important issues on smart transportation is to have a passable road. In order to implement smart transport system, the data in the form of Geographical Information Systems (GIS) is essential. This paper discusses the simplified approach used by Tanzania National Roads Agency (TANROADS to convert the non-special data collected many years back into Geodatabase to achieve a cost-effective GIS solution. The result was an integrated GIS system for visualization of Roads network and assist in data interpretation and planning. In this way different data such as condition data sets collected in different times were analyzed in GIS to assist decision makers identify part of the network that need attention. The output was used for Quality Assurance of the data including for instance identification of sections with no survey information. Other information such as sections with poor, fair and good condition could be easily identified and this information may be used for different purposes. It is recommended that road implementers may use this method and available non special data to come up with up with cost effective GIS systems for road asset planning and investment decisions.
Keywords: Geospatial data on road management; Web GIS for condition data; data quality management; Smart Road Technology; Road asset management
Journal Information
- Journal Name: Transactions on Engineering and Computer Science
- Journal Short Name: Trans Eng Comput Sci
- Language: English
- Format of Publication: Online
- Starting Year: 2020
- Focus Subject: Engineering and Computer Science
- Publication Model: Online
- Frequency of Publication: Two Issue a Year
- Review Process: Single blind peer-review by referees
- Time to 1st Decision: 2 to 3 weeks from date of submission
- Time to Acceptance: 4 to 6 weeks, depending upon the required revision cycles
- Time to Publication: 1 to 3 weeks from date of final submission in the forthcoming issue
- DOI Prefix: 10.7620
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