Smart City
From network design to operational management, smart city services must be agile, sustainable, and data-driven. Strategic decisions – site selection, resource allocation, urban mobility organization – require tools capable of anticipating, simulating, and optimizing complex systems. With Atoptima’s mathematical optimization and AI technologies, cities can design, plan, and operate their infrastructures more efficiently and sustainably.
-30%
Logistics costs
-20%
CO2 emissions
÷5
Planning time
Challenges and Issues
- System interoperability: secure and intelligent integration of descriptive, predictive, and prescriptive data to interconnect urban networks
- Sustainable mobility: design of environmentally friendly infrastructures and transport networks
- Equity and inclusiveness: ensuring fair access to innovative services for all citizens
- Real-time management: dynamic decision-making in response to disruptions (congestion, breakdowns, demand peaks)
- Resilience and efficiency: limiting negative externalities (pollution, noise, congestion) while optimizing resource usage
- Evolving uses: adaptation to new models of urban mobility (shared vehicles, micro-mobility, sustainable urban logistics)
Use Cases Covered
- On-demand multi-passenger transport: planning shared transport with multiple pick-up and drop-off points
- Mobility-as-a-Service (MaaS): multimodal synchronization (bus, metro, bike, carpooling, walking…) with stochastic optimization
- Dynamic positioning of shared bikes and scooters: network design and optimization of fleet rebalancing across multiple stations
- Urban energy planning: optimization of energy resource distribution (power grids, charging stations, district heating)
- Smart waste management: optimized planning of waste collection based on volumes and environmental constraints
- Optimization of public lighting and IoT infrastructures: intelligent resource allocation to reduce costs and carbon footprint
Benefits
- Optimized resource utilization: vehicles, energy, infrastructures…
- Equity and sharing: improved accessibility and distribution of public services
- Operational agility: dynamic re-optimization according to disruptions and demand
- Enhanced mobility efficiency: reduced travel times and congestion in urban areas
- Reduced negative externalities: lower pollution, noise, and CO2 emissions
- Service profitability: controlled costs, better budget allocation, and improved ROI
