Dynamic grouping maintenance policy for the road infrastructure
Résumé
The quality and the ability of the road infrastructures play a very important role to ensure safe and convenient transportation. Current human needs oblige us to optimize the use of our travel resources. The autonomous driving is proposed as a solution to make the transport more efficient. The autonomous vehicle contains cameras and lidars that can communicate with the road infrastructure to understand the environment where they are traveling. Thus, the existing road infrastructure must therefore be developed and maintained to address the availability needs induced by the new uses of mobility. In consequence, the maintenance of the road infrastructure must be optimized. In previous work, a maintenance policy for lines and road cracks pavement of the road infrastructure was proposed by considering it as a 4 components system: median strip line, emergency line, broken center line and pavement. The proposed strategy is based on the individual optimal maintenance plan of each component. Then, over a finite planning horizon, the scheduled maintenance actions are grouped together to ensure both the proper functioning of the system and to minimize the cost of maintenance. To improve this previous work, a new long-term horizon (30 years) dynamic grouping maintenance strategy is proposed, dynamically considering new monitoring data. This new algorithm is applied to the maintenance optimization of the road infrastructure, using the Long-Term Pavement Performance database and French National Road 4 feedback data.
Origine | Fichiers éditeurs autorisés sur une archive ouverte |
---|