Data for Infrastructure

We have the World’s Largest and Cleanest Datasets for Roads

AIRLOOP’s customized dashboards provide a clear view of maintenance requirements, distinguishing between Preservative, Periodic, Functional Overlay routines, and complete rehabilitation needs within your road network.

Data-Driven Infrastructure Life-Cycle

Accurate and reliable data forms the foundation of public infrastructure and asset management. To ensure effective management throughout the life-cycle of infrastructure, decision-making should be driven by data at every stage. This includes design, development, monitoring, and maintenance, allowing for evidence-based decisions. By utilizing precise data, projects become more efficient, risks are reduced, and resources are optimized.

We enable our clients to adopt data-driven decisions throughout the life-cycle of infrastructure management

Our clients have access to highly accurate data, processed through the AIRLOOP’s advanced artificial intelligence algorithms and machine learning techniques, helping our clients in effectively monitoring pavement conditions and developing efficient maintenance strategies. Our advanced AI-powered solutions cater to various aspects, including pavement condition monitoring,  encroachment detection, right-of-way mapping and road utilities. We specialise in providing actionable strategy to our clients for public infrastructure monitoring and assets management.

What Sets Us Apart

• Cutting-Edge AI Technology: We stay at the forefront of AI research and development, continually refining our algorithms and models to deliver accurate and reliable results. Our commitment to innovation enables us to provide our clients with the most advanced solutions for infrastructure condition monitoring

• Customization and Scalability: We understand that each client’s infrastructure monitoring needs are unique. Our solutions are highly customizable, tailored to specific requirements and infrastructure types. Additionally, our systems are designed to scale, accommodating the growing needs and expanding networks of our clients.

• Actionable Insights and Predictive Analytics: We go beyond data collection and analysis. Our AI solutions provide actionable insights, highlighting maintenance priorities, predicting potential failures, and optimizing resource allocation. This empowers our clients to make informed decisions, implement preventive measures, and maximize the value of their infrastructure investments.

• Seamless Integration: We prioritize usability and integration capabilities. Our solutions seamlessly integrate with existing monitoring systems and platforms, ensuring a smooth transition and minimal disruption.

Data for Design

Our clients are increasingly using a wide array of new test data, unlocking a world of design possibilities. Traffic data provides valuable insights into road usage patterns, allowing engineers to create designs that optimize performance. Soil testing uncovers crucial information about what lies beneath the surface, equipping designers with knowledge to strengthen foundations. Material testing ensures the selection of the finest and most durable materials, capable of withstanding the test of time. This amalgamation of data gives rise to extraordinary designs. Data used for design stage typically comes through:

• IRI for Ride Quality Assessment: IRI is used to evaluate the smoothness and ride quality of road surfaces. It quantifies the vertical deviations experienced by vehicles. By analyzing IRI data in conjunction with traffic data, designers can assess the impact of traffic loads on ride quality. Higher traffic volumes or heavy vehicle usage may require additional considerations in pavement design, such as thicker pavement layers or more durable materials.

• FWD for Structural Evaluation: FWD tests provide data on pavement deflections, helping assess the structural capacity of the pavement layers. When combined with traffic data, FWD results can be correlated with traffic loads to determine the structural adequacy of the pavement. This information aids in selecting appropriate design parameters, such as pavement thickness, layer materials, and rehabilitation strategies, considering the anticipated traffic volume and composition.

• PCI for Surface Condition Assessment: PCI quantifies the surface distresses and deterioration of the pavement. It provides an assessment of the functional performance of the pavement. When integrating PCI with traffic data, designers can identify sections of the road that are more prone to damage due to heavy traffic or specific traffic patterns. This knowledge helps prioritize maintenance and rehabilitation efforts to address surface distresses effectively.

• Traffic Data for Load Characterization: Traffic data, such as traffic volume, axle loads, and vehicle types, is essential for load characterization. By analyzing traffic data in relation to pavement design, designers can determine the anticipated loads on the pavement, including dynamic effects due to traffic patterns and heavy vehicles. This information assists in selecting appropriate design factors, pavement thickness, and structural design strategies to ensure the pavement can withstand the anticipated traffic loads.

• Subgrade Soil Testing: The properties of the subgrade soil beneath the pavement layers have a significant impact on pavement performance. Conducting soil tests, such as moisture content, bearing capacity, and resilient modulus tests, can provide critical information for designing appropriate pavement structures. Understanding the soil characteristics helps determine the necessary thickness and reinforcement requirements to support the pavement adequately.

• Environmental Data: Factors like climate, temperature variations, rainfall patterns, and freeze-thaw cycles can influence pavement performance. Collecting and analyzing environmental data specific to the project area can aid in selecting suitable materials, pavement design features, and pavement maintenance strategies that can withstand the anticipated environmental conditions.

• Material Testing: Testing the materials used in pavement construction, such as aggregates, asphalt binders, and concrete mixes, is essential to ensure their quality and suitability. Material tests help verify compliance with specifications, assess strength, durability, and performance characteristics, and provide input for designing optimal material proportions and thicknesses.

• Geotechnical Investigation: A comprehensive geotechnical investigation assesses the site’s geological and geotechnical conditions, including soil types, groundwater levels, and potential geotechnical hazards. This information is vital for designing proper pavement foundations, considering drainage requirements, and mitigating potential subsurface issues that may affect pavement performance.

Data for Predictive Maintenance

With the aid of advanced technologies such as Pavement Condition Index (PCI), Falling Weight Deflectometer (FWD), and traffic count data, the proactive pavement maintenance approach becomes a game-changer.  Proactive monitoring ensures safety and resilience, while data-driven maintenance extends infrastructure lifespan. Here is how we do it for our clients: