Maintenance Strategy for the Road Infrastructure for the Autonomous Vehicle
| Autor: | Laurent Bouillaut, Maxime Redondin, Ikram Najeh, Dimitri Daucher |
|---|---|
| Přispěvatelé: | VEhicule DEcarboné et COmmuniquant et sa Mobilité (VeDeCom), Génie des Réseaux de Transport Terrestres et Informatique Avancée (COSYS-GRETTIA ), Université Gustave Eiffel, Laboratoire sur la Perception, les Intéractions, les Comportements et la Simulation des usagers de la route et de la rue (COSYS-PICS-L), Cadic, Ifsttar |
| Rok vydání: | 2020 |
| Předmět: |
[SPI.OTHER]Engineering Sciences [physics]/Other
[SPI.OTHER] Engineering Sciences [physics]/Other Computer science Level of service GROUPING MAINTENANCE ACTION 020209 energy media_common.quotation_subject 0211 other engineering and technologies Maintenance strategy ROAD INFRASTRUCTURE MAINTENANCE ROAD MARKING 02 engineering and technology DEGRADATION Transport engineering 021105 building & construction Genetic algorithm 0202 electrical engineering electronic engineering information engineering PAVEMENT CRACK VEHICULE AUTONOME Quality (business) Runway Serial system media_common |
| Zdroj: | ESREL 2020-PSAM 15-30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference ESREL 2020-PSAM 15-30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Nov 2020, VENISE, Italy. 7p |
| DOI: | 10.3850/978-981-14-8593-0_3575-cd |
| Popis: | ESREL 2020 - PSAM 15 - 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, VENISE, ITALIE, 01-/11/2020 - 05/11/2020; The quality of the road infrastructure plays a major role in the road safety, especially for the autonomous vehicles (AV). The AV contains cameras and lidars able to detect the road markings, obstacles and the other vehicles. The road markings help the AV to identify the path runway and to understand their localization. Thus, the AV must interact with the road infrastructure to drive around without any human interactions with a high automatization level. The failures of the components of the road infrastructure (pavement and road markings) are incompatible phenomena with the operation of AV. To ensure a good evolution of this kind of vehicles, the infrastructure and the vehicles must coordinate, each providing a certain level of service. Thus, an efficient road maintenance must be considered. The proposed paper suggests a maintenance policy for the road infrastructure by grouping the maintenance strategies of the road markings and the pavement. This strategy considers the road infrastructure as serial system. A genetic algorithm is used to group the maintenance activities. This methodology is applied to feedback datasets from both the French National Road 4 and the American pavement using the Long-Term Pavement Performance (LTPP) database. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|