AI is only as good as the data feeding it.
Artificial intelligence is no longer a distant promise for public transport: it is already in operation on networks comparable to yours, in France and abroad.
Without a modern Automatic Vehicle Location (AVL) system able to report real-world, on-the-ground conditions in real time, artificial intelligence remains purely theoretical.
What's inside
01
The four levels of AI in transport
From business rules to generative AI — how to pick the right level for the problem at hand
02
9+ real-world use cases already in operation
From Dunkirk to Singapore, with measured results on punctuality, maintenance and cost
03
The three pillars of AI value
Anticipate, inform, optimize — illustrated with concrete operational functions
04
The AVL system, the prerequisite AI cannot do without
What separates a legacy AVL from a modern, AI-ready AVL
05
A six-step path
How to adopt AI progressively, starting from your own operational pain points
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