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Vilnius public transport is facing changes: fixed schedules may no longer exist

· Source: madeinvilnius.lt

In short

As autumn approaches and traffic jams return to Vilnius streets, experts discuss how artificial intelligence and real-time data could transform public transport route planning and scheduling. Vilnius City Municipality company JUDU is implementing new autumn schedules based on passenger flow analysis, while AI experts predict a shift from static schedules to dynamic, demand-responsive transport systems. The article explores how technologies such as predictive scheduling, on-demand transport, and autonomous vehicles could reshape urban mobility in the coming decade.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 35, 2026: Agentic AI and Vision Tech Drive Real-Time Execution Gains in Supply Chains

Tags: public transport, route planning, scheduling, demand forecasting, autonomous vehicles, urban mobility

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