1. SANRAL 2003/2004 Work Programme
Nazir Alli

2. 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

3. 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.

4. 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

5. 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

6. MTEF Budget Request vs Allocation Non-Toll

7. 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.

8. 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

9. 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

10. 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) km tolled over next 20 years, subject to feasibility and societal concerns.

11. 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.