Using AI to Make Sustainable Mobility More Efficient and Affordable

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In a push to transform mobility, policymakers are placing high expectations on public transport. A key element is the shift to zero-emission vehicles. INIT’s intelligent solutions make it possible to introduce e-mobility safely and efficiently, while ensuring electric bus fleets run smoothly. For the mobility transition to succeed, public transport must provide a reliable alternative to cars, including in rural areas. MOBILE-FLEX enables demand-responsive transport (DRT) that complements traditional fixed-route services in a flexible and cost-effective way.

Smart planning, efficient operations

The transition to e-mobility requires significant investment. The eMOBILE-PLAN planning system enables transport companies to test deployment strategies in advance, assessing operational impacts — from blocks and charging strategies to staffing requirements — before a single e-bus is purchased.

Once vehicles are in service, the eMOBILE-ITCS operations control system provides real-time monitoring of electric buses. It supports control centres by tracking battery levels, issuing alerts when critical thresholds are reached. It also verifies whether current charge levels are sufficient for longer trips resulting from dispatching measures. Operating electric buses increases the complexity of vehicle allocation, especially in mixed fleets of diesel and electric vehicles. eMOBILE-DMS, INIT’s depot management system, integrates with the ITCS and charge management systems to consolidate operational data and embed it into depot processes, enabling smooth, transparent, and efficient depot operations.

AI turbocharges intelligent charging

Charging issues can lead to missed trips and dissatisfied passengers. The MOBILEcharge charge management system uses artificial intelligence to reliably charge electric buses and ensure they are ready for operation. AI-driven fault analysis explains complex issues in clear terms, allowing even less-experienced staff to identify and resolve problems quickly. The system sets charging targets for each bus and monitors their performance, automatically proposing adjustments if risks to service delivery are identified. It can also schedule charging during periods of lower electricity tariffs, supporting cost management while maintaining operational readiness.

AI-powered on-demand transport for a sustainable future With MOBILE-FLEX, INIT brings artificial intelligence to on-demand transport, opening new opportunities for sustainable public transport. The integrated solution manages booking, dispatching, and optimisation across all common operating modes — from on-demand routes to fully flexible area operations with ride pooling — and adapts to local requirements.

At its core is an AI-based optimiser that bundles ride requests in real time and dispatches them in a passenger-friendly way. By considering current vehicle positions, it enables short booking times and the use of virtual stops, making on-demand transport both economical and attractive — particularly in rural areas. MOBILE-FLEX strengthens public transport as a genuine alternative to private cars, supporting the mobility transition across the board.

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