SANRAL 2003/2004 Work Programme Nazir Alli

National Roads – Non Toll - 5,300km ZIMBABWE National Roads – Toll (1,900km) – 7,200km Musina MOZAMBIQUE National Roads – 2003 (2,500km) – 9,700km Makhado Strategic Network (10,200km) – 19,900km Polokwane Primary Network (18,100km) – 38,000km Mogalakwena Bela Bela BOTSWANA Lobatse Nelspruit Pretoria Mafikeng Witbank Maputo Johannesburg NAMIBIA Mbabane Vereniging SWAZILAND Potchefstroom Vryburg Klerksdorp Kroonstad Welkom Hluhluwe Harrismith Upington Winburg Vioolsdrif Kimberley Richards Bay Bloemfontein Maseru Springbok Pietermaritzburg LESOTHO Durban Garies De Aar Colesberg Aliwal North Margate Middelburg Umtata Queenstown Cradock Beaufort West Bisho East London Grahamstown Worcester Oudtshoorn Cape Town Swellendam George Port Elizabeth Strand Mossel Bay

To ensure accurate decision making, accurate data is required To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h.

Asset Management Cycle Planning Policies Policy Research Classification and Standards Asset Management Information Inventory Condition Resources Treatments Productivity Unit Costs Economic parameters Performance Monitoring Needs Assessment Implementation To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h. Finance and Resources Operations Programming Project Preparation

NRA Budgeting Procedure Traffic Visual Instrumental Data Bridge Inspections RUE RUE PMS BMS RDME BDME CBA CBA Priority List Priority List Pavement Management System Bridge Management System Super Project List To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h. Budget Optimisation Eastern Northern Southern Western Programming

MTEF Budget Request vs Allocation Non-Toll

Expenditure 2003/04 - Details Non-Toll To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h.

To ensure accurate decision making, accurate data is required To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h. Assumptions: Traffic Growth =1,5%; b) No Overloading; c) Timeous intervention strategies

To ensure accurate decision making, accurate data is required To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h. Assumptions: Traffic Growth =1,5%; b) No Overloading; c) Timeous intervention strategies

To ensure accurate decision making, accurate data is required To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h. Assumptions: Traffic Growth =1,5%; b) No Overloading; c) Timeous intervention strategies d) 1300km tolled over next 20 years, subject to feasibility and societal concerns.

Expenditure 2003/04 - Details Toll To ensure accurate decision making, accurate data is required. The data collected on SA National Roads include, visual assessment, I.e. cracking, potholes, patching, ravelling etc, roughness in IRI, HRI, rut depth, texture depth in MPD, surface friction using SCRIM and structural strength using FWD. The calibration/validation procedures and detail and frequency of data collection is all contained within our paper. Two other important data items collected is also traffic data, including WIM, and bridge condition data. All data is collected using GPS, we use Omnistar network enabling realtime differential data accuracy of less than 2m at speeds of 100 km/h.