Geospatial Pavement Distress Maintenance Management (Case Study from Entoto to Center of Chancho Town Road Section
| dc.contributor.advisor | Bikila, Teklu (PhD) | |
| dc.contributor.advisor | Andenet, Ashagrie (Mr.) Co-Adviser | |
| dc.contributor.author | Ngiste, Amare | |
| dc.date.accessioned | 2020-11-27T06:49:06Z | |
| dc.date.accessioned | 2023-11-11T12:53:37Z | |
| dc.date.available | 2020-11-27T06:49:06Z | |
| dc.date.available | 2023-11-11T12:53:37Z | |
| dc.date.issued | 2020-09 | |
| dc.description.abstract | GIS and GPS based pavement distress and maintenance management are becoming a significant topic in the current pavement management industry and research. There exists pavement distress from Entoto – the center of Chancho town. GIS and GPS based analysis is important to manage the road section distresses by ranking for maintenance according to priorities. This study examines pavement distress and maintenance management systems by using GIS and GPS tools or analysis and decision making. Also, the research evaluates the relationship between pavement distresses, slope factor, drainage, mobility, pavement performance, riding comfort, maintenance system, and recommended treatments. Initially, interviews were conducted to know about overall information. Then conduct an observation and surveying to get the type, severity, and extent level of distresses. Capturing images were also taken to look through the condition of distresses, to get the geospatial coordinate points and their respective stations using a GPS map camera. Finally examine factors for maintenance prioritization (like AHP priority vector, PDI, and TBMC), use them as input data for weighted overlay analysis, and prioritize distresses for maintenance using GIS software. The preliminary results of the research show that among a total of 126 road distresses, 33 were alligator cracks, 32 were potholes, 29 were patchings, 19 were ravelings, 8 were edge breaks, 3 were ruttings, 1 shoving, and 1 longitudinal crack. From the weighted overlay analysis result, distresses that lies in high detected areas maintained first and that lies in low detected areas maintained last. The conclusion bound to be drawn that pavement distress maintenance management through a combined effect of maintenance priority factors using GIS software gives a better maintenance priority map. The traditional pavement distress maintenance management systems don’t consider it and use pavement condition data to give priorities for maintenance on the highway networks. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/23659 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | GIS | en_US |
| dc.subject | GPS map camera | en_US |
| dc.subject | pavement distress maintenance management | en_US |
| dc.subject | pavement distress maintenance priorities | en_US |
| dc.title | Geospatial Pavement Distress Maintenance Management (Case Study from Entoto to Center of Chancho Town Road Section | en_US |
| dc.type | Thesis | en_US |