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Road Management System and Data Collection in Karnataka PWD Public Works Department Government of Karnataka By Dr. H.R.Shantharajanna Chief Information.

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Presentation on theme: "Road Management System and Data Collection in Karnataka PWD Public Works Department Government of Karnataka By Dr. H.R.Shantharajanna Chief Information."— Presentation transcript:

1 Road Management System and Data Collection in Karnataka PWD Public Works Department Government of Karnataka By Dr. H.R.Shantharajanna Chief Information Officer, Information Technology Cell, PWD Bangalore.

2 Road Network in Karnataka Length of roads under PWD: National Highways - 4000 km State Highways- 17000 km Major District Roads- 30000 km Rural roads (80000 km) developed and maintained by Zilla Panchayats Municipal roads in towns/ cities developed and maintained by Local authorities

3 Source of funds for maintenance National Highways are funded by Central Government through Ministry of Road Transort & Highways State Highways and Major District Roads are maintained by State Budget. Grant allocation based on per kilometer. Variations due to traffic, lane width, terrain, environment and subgrade soil type are not considered. There is no dedicated road fund.

4 To establish a database of roads and bridges for planning, prioritizing works for upgradation/ maintenance. Information to be available at a Central location and to all simultaneously, instead of collecting from diverse sources when needed. Quick exchange of map data and facility to view query results on the map to help taking decisions quickly. To leverage the advances in IT for developing better management solutions for road network Need for GIS based system

5 Development of RIS in KPWD RIS is developed in a phased manner Pilot project (1999) Digitisation of 175 taluks & capturing spatial data (2000) Collection and authentication of non-spatial data (2000) Development of customised software for data entry screens & standard query tools for spatial and non- spatial data (2001)

6 Development of RIS in KPWD... Enhancement of RIS to include Road/ Bridge Condition Survey data and corresponding tools for the analysis of data (2003) Developing WebRIS to put on the Internet (2006) Decentralising data updation to be done at Division level (2007 planned)

7 MicroStation V8 GeoGraphics * GIS Engine MicroStation V8 GeoGraphics ORACLE 8 i  Database ORACLE 8 i Visual Basic and MicroStation Development Language (MDL) * Developmental Tools Visual Basic and MicroStation Development Language (MDL) Technology used for RIS

8 Data in RIS Road Network Data Administrative Boundaries Data Cross Drainage / Bridge Data Condition Data of Pavement Surface/ Bridge Structure Expenditure Data Traffic Data Village and Population Data Soil / Rainfall Information Image/ Video Data

9 Data collection Road network data is collected from the field staff. Road surface condition data is collected for roughness using VMBI- ROMDAS system and distress condition by visual observation Bridge condition data reported by the field staff Expenditure data from Division offices Traffic data is collected independently once in a year at permanent count posts on PWD road network. CBR value of subgrade soil is tested at every kilometer GPS to be used to verify the existing road alignments/ to add new alignments

10 NON - SPATIAL DATA CAPTURED IN RIS (contd...) ROAD CONDITION DETAILS  International Roughness Index (m / km)  Visual Road Condition (Very Good, Good, Fair, Poor) Surface Condition Distress Indices DistressVery GoodGoodFairPoor Cracking (%)051525 Ravelling (%)1102030 Pot-holes* (no. per km)00550 Edge Break (m 2 per km)010100300 Mean Rut Depth (mm)251525 * A standard pot hole is described as a depression 25 mm deep and a 150mm across, bigger potholes are multiples of this unit. IRIDescription <= 6Good-Fair >6 and <=8Fair – Poor >8 and <=10Poor – Bad >10Bad

11 A GIS based system integrating spatial and non-spatial data developed for KPWD with customized tools for updating / modification of these data and for querying and report generation. ROAD INFORMATION SYSTEM (RIS)

12 Customized Data Updation / Entry screens in RIS Road Information / Details updation screen

13 CUSTOMISED TOOLS FOR UPDATION IN RIS

14 CUSTOMISED TOOLS TO IMPORT & EXPORT DATA

15 REPORT GENERATION IN RIS

16 Customised Query tools to Display * Roads Category Wise * CD Types * Villages by Population * Roads by Surface Types * Roads by Width of the Road * Roads by Finance Schemes * Barchart details for Roads * International Roughness Index * Visual Road Condition categorywise * Traffic Intensity And many more... SOME OF THE CUSTOMISED QUERY TOOLS IN RIS

17 DISPLAY ROADS BY CATEGORY (NH /SH /MDR)

18 DISPLAY CD TYPES

19 DISPLAY VILLAGES BY POPULATION

20 DISPLAY ROADS BY SURFACE TYPES

21 DISPLAY ROADS BY FINANCE SCHEMES

22 DISPLAY BARCHART DETAILS FOR ROADS

23 SHOW ROAD CONDITION

24 Search Tool for locating Roads

25 Search Tool for locating Village

26 Querying on Visual Road Condition

27 Query results – cracking of roads

28 Query results – IRI value

29 Querying on Visual Road Condition (Severity)

30 Query results – severity condition

31 REPORT GENERATION IN RIS

32 Using RIS at different Levels Principal Secretary / Secretary Overall Review Chief EngineersReview & Planning Superintending EngineersProgramming  Dynamic Data Updation  Data Import and Export  Preparing proposals of works Executive Engineers

33 Example of RIS use Strategic Options Study of State Highways (excluding the roads developed under KSHIP and KRDCL) was done in-house using RIS. A node-link map was generated and the links were studied for strategic options mainly based on volume/ capacity ratio (considering classified traffic volume). Prioritisation using strategic options resulted in selection of about 4000 km out of 13,000 km. ARCTS data is to be used for preparing the budget estimate for the forthcoming year.

34 Future planned uses   Web enabling RIS to provide information to general public  Decentralization of data updation and utilization  Building Interface with Accounting software/ e-procurement system  Evolve into RMMS (Road Maintenance Management System) using results from HDM-IV analysis

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