Intelligent road condition monitoring

Efficient maintenance of public transport areas.

Data-based, automated and predictive

Rethinking condition assessment

Maintaining municipal infrastructure is often complex and expensive. Roads, sidewalks, and green spaces are usually only inspected irregularly, leading to delays and high subsequent costs. This is precisely where the Intelligent road condition monitoring It records the condition of traffic areas cost-effectively and automatically. This allows measures to be planned early, unnecessary costs to be avoided and safety to be sustainably improved – digitally, efficiently and with a future-oriented approach.

Less effort, more overview – find out how easy predictive maintenance can be.

Your challenge

Promote innovation in a targeted manner

Complex data collection

Manually recording traffic areas is costly and delays preventive measures.

Uncertain planning basis

Without AI-supported analysis, data-based forecasts of road condition development are lacking, which makes forward-looking planning difficult.

Inadequate testing processes

Manual inspections are irregular and inaccurate in order to detect all deficiencies in a timely manner and initiate measures.

Our solution

Efficient infrastructure maintenance through smart data and AI power

Intelligent road condition monitoring Municipal vehicles and modern smartphone sensors automatically and regularly collect current condition data for roads and traffic areas during operation. Artificial intelligence analyzes this data and provides not only a real-time overview but also reliable forecasts for the future development of the infrastructure.

The system enables data-based, predictive and cost-efficient maintenanceDamage is detected early, follow-up costs are reduced, and the infrastructure is maintained digitally, automatically, and sustainably in the long term.

Road condition analysis.

High-frequency detection through regular journeys by municipal vehicles enables the reliable identification of cracks, potholes, patches and unevenness.

Complaint management.

Identification of infrastructure deficiencies through digital visual inspection, for example damage to parking ticket machines.

Road condition forecast.

Based on the recorded condition data from the visual inspections, our AI creates forecasts for the future development of the traffic areas.

Your contact person

Do you have any questions?

We have the answers! Our colleague Laura Bies will be happy to answer all your questions about Intelligent Infrastructure Monitoring.

laura.bies@aws-institut.de

+49 162 2934 499

Your contact person

Do you have any questions?

We have the answers! Our colleague Laura Bies will be happy to answer all your questions about Intelligent Infrastructure Monitoring.

Laura Bies

laura.bies@aws-institut.de

+49 162 2934 499

Your step towards a smart city

Mobility meets Artificial Intelligence

Objective

Efficient and regular monitoring of road conditions for early detection of damage and avoidance of high follow-up costs.

Our Process

Municipal vehicles automatically collect image and sensor data during operation, which an AI analyzes in real time to record the condition and create forecasts.

Advantage

Significant reduction of effort and costs through automated testing, transparent status overview and optimized, predictive maintenance.

Modern smartphones are equipped with numerous sensors that capture a wide range of data – from acceleration and braking behavior to high-resolution images. Intelligent infrastructure monitoring uses this data to assess road conditions at high frequency and with precision according to the ZEB standard.

The modular system architecture allows for the integration of additional data sources (e.g., weather data or traffic information). Based on all this data, the AI ​​generates forecasts for the future development of road conditions – for proactive and efficient maintenance.

Benefits for your company

Why us

Cost-effective & time-saving

Comprehensive assessment of the condition of traffic routes without complex manual inspections.

Automated analysis & forecasting

AI-supported analysis provides current status, forecasts, and historical status comparisons.

Efficient maintenance

Proactive measures reduce follow-up costs and minimize traffic disruptions.

Easy installation & operation

A non-invasive SaaS solution that collects data during operation, which can be exported to GIS if required.

Privacy & Transparency

Automated anonymization protects privacy while providing a holistic overview of the infrastructure.

Data basis for innovation

Building a big data pool to expand AI-based services and future applications.

What our participants say

Achieving more together

The IntrapreneurshipThe August Wilhelm Scheer Institute's Entrepreneurship program is an outstanding initiative that promotes entrepreneurial thinking and action within companies. Through practical workshops and targeted coaching, employees are empowered to develop and independently implement innovative ideas. The combination of theoretical knowledge and practical application creates a dynamic learning environment that fosters creativity and personal responsibility. This program is a must for companies seeking to increase their innovative strength from within.

VSE AG

Person?

Immerse yourself flexibly and expand your know-how – anytime, free of charge.

Our webinars on demand

Scientific and talent-centered

Our success model

We offer Best in class  in the scientific and  talent-centric incubation.

The teams work on the current and future challenges of the company during the program. This not only strengthens the entrepreneurial potential of each individual, but also the innovative power of the company for long-term corporate success.

Part of our work is reflected in the current Intrapreneurship Monitor documented this. Almost 500 companies from Germany were surveyed in 2023 on how they Intrapreneurshipactivities in their company and what obstacles and challenges they had to overcome. A special focus was placed on the ICT sector. Together with the University of Bayreuth we show how successful Intrapreneurship-Programs must be designed.

Nach oben scrollen