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, each 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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