Decision Trees in Asset Management
It is important to carefully consider all the factors involved in selecting the right treatment for your network. This includes factors such as network type, network size, network age, network usage, network location, and network conditions. A thorough understanding of the network and its characteristics is necessary to determine the most appropriate rehabilitation strategy. It may be helpful to consult with experts and gather input from relevant stakeholders in the decision-making process.
An asset management system that integrates pavement modeling and maintenance can help to ensure efficient allocation of resources for road rehabilitation and renewal. This type of system allows organisations to make informed decisions about which projects to prioritise and allocate funding for, based on the condition and future performance of the pavement. By considering both the current state and future needs of the network, an asset management system can help organisations to make cost-effective decisions that balance short-term and long-term goals. Implementing such a system can help organisations to achieve their goals while maximising the use of available resources.
PARMMS Powered by AgileAssets utilises decision trees to determine when and how each pavement section should be repaired. The steps or level of each decision tree are fully customisable and can include items like pavement type, pavement structure, traffic levels, severity of defects and the treatment type that was most recently used on the pavement.
The treatment that each road section receives is ultimately decided by the combinations of these factors in the decision trees. For example a treatment for crocodile cracking can be automatically adjusted based on traffic levels for a particular section of pavement. You could decide that areas with a low AADT could receive preventative maintenance, whereas an arterial road could be set to receive more extensive measures. These decision trees can be several branches long leading to potentially hundreds of different treatment combinations that can change from year to year depending on the rate of deterioration your network is experiencing.
By utilising this type of system, organisations can ensure that their pavement network is maintained and rehabilitated in the most cost-effective and efficient manner, taking into account both short-term and long-term goals.
Example of decision trees on PARMMS