Increased city transit, optimal traffic flow, impact of road closures on urban transport.
Urban transport, smart AI cities, traffic intensity
Client CountryCzech Republic
- Client typeEnterprise
- IndustrySmart City & Urban Mobility
- Application areasStrategy, Planning & Decision-Making, Supply Chain & Logistics
- AI technologiesAdvanced Analytics / Data Science, Machine Learning
- Business impactsCustomer Product & Service Innovation, Data-Driven Decisions & Planning
- Data typesGeospatial Data, Structured Tabular Data
- Delivery modelsCustom Development, Product / Licensed Software, Service / Subscription
- DeploymentsCloud
- Key capabilitiesDecision Support & Augmented Analytics
- Project stagesInitial Production Deployment
- Solution formsAnalysis, Recommendation, or Report, API / Micro-service Interface, Standalone Application
Solution Description
Problem description
Solution
A product was developed featuring a map of historical traffic intensities in 15-minute intervals. The solution was built on the mapmatching method, i.e., mapping the telecommunications network onto the road network, with an encoder and decoder.
Main Users of the Solution
Public transport operator, city councilors, transport specialists, urban development department.
Project timeframe (months)
1
Additional services
- Data governance and data quality
- Ongoing maintenance and model retraining
Implementation
Project Owner on the Client's Side
Head of IT / Data / Technology
Participation on the Client's Side
- Business / Product Owner
- Domain / Process Experts
- Data & ML Specialists
Form of Supplier Involvement
Complete realization
Operation and Maintenance
Operational Model
Vendor
Other Resources or Infrastructure
Computer
Impact and Results
Qualitative Benefits
Data-driven decision making
Lessons Learned and Recommendations
Key Success Factors
Collaboration across teams
Recommendation for Others
We would recommend that others start with a thorough understanding of the domain and user needs – in our case, it helped that the team understood the workings of the collectible card market. We also recommend building the solution in a modular and scalable way, using cloud services that allow for easy automation and adjustment of processes. Close collaboration between the technical and business teams is also key – regular communication prevented misunderstandings and accelerated development.
Promotion
Demo / Public Resources
- CompanyO2 Czech Republic
- ContactPetr Netolický
- Emailpetr.netolicky@O2.cz
- Websitehttps://dataclair.ai
- AddressZa Brumlovkou 266/2, 140 00 Praha