Preserving the economic value of the road infrastructure is essential to provide society with an operational, environmental, sustainable, and safe asset for road transport. In order to ensure the road capital is preserved and optimal maintenance strategies are carried out, it is required that the functional, as well as structural conditions of the road infrastructure, are known. Advanced and complete measurements of road conditions support the following of the UN’s global goals for a sustainable future: 1. Accessibility and mobility, 2. Safety, 3. Environmental impact, 4. Air quality, 5. Noise, 6. Traffic safety. An efficient, safe and sustainable road infrastructure can be maintained to meet the mobility needs of the next generation. Optimizing the condition of the road infrastructure, to ensure it contributes to the fulfilment of the mentioned world goals, is complex. Therefore, it is necessary, in context, to look at how the condition of the road infrastructure, traffic flow and traffic pattern, together with environmental and economic challenges, affect the overall strategic goals. For road owners, it is important to balance the positive and negative effects from a road network on society, through robust maintenance strategies, strategies which are supported by complete and efficiently (simultaneously) measured road condition data, and which, through intelligent BIG data handling processes, support and optimize operation and maintenance of the road infrastructure, in a cost-effective manner. This paper shows how road assessment data, when handled and analyzed systematically, can support optimal management of the road infrastructure.