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UNDER THE HIGH PATRONAGE OF ORGANISERS
SMART STATIONS IN SMART CITIES6th International Conference on Railway Stations
Madrid, 19‐21 OCTOBER 2017
Artificial Intelligence in the Railway Industry
Daniel, Martín de LucasManaging Director, Limmat Group, Spain4b. SMART FACILITY MANAGEMENT
Artificial intelligence in the Railway Industry Page 2
HIGH NUMBER OF NEGATIVE NEWS IN THE MEDIA
Artificial intelligence in the Railway Industry
BUT OTHERS NEWS SHOW AN AMAZING POTENTIAL OF A EMERGING TECHNOLOGIE
Page 3
WHAT IS ARTIFICIAL INTELLIGENCE?
Artificial intelligence in the Railway Industry
SENSE UNDERSTAND ACT
Multiple technologies that can be combined in different ways to:
MachineLearning
Planning & OptimizationNLP
RoboticsSpeech Vision ExpertSystems
Page 4
KEY FACTORS ARE ENABLING AI GROWTH
Real time information Data Availability Computing Power
& Data storage
Page 5Artificial intelligence in the Railway Industry
ARTIFICIAL INTELLIGENCE FACTS & FIGURES
In 2016, companies invest$26B to $39B
3x External investment grow since 2013
TECH GIANTS77%
STARTUPS23%
It is considered a new factor of production
Investment in AI is growing at a high
rate, but adoption in 2017 remains low
Fast emerging technology market
(CAGR) 31%2016 ‐ 2024
By 2020, 85% of customer interactions
will be managed without a human
Page 6Artificial intelligence in the Railway Industry
NATURAL LANGUAGE PROCESING
Page
Customer interactions:• Virtual assistants and chatbots: Formulating responses to questions.• Social media monitoring: Opinion and feed back of our services.
Improve the accessibility in the stations. Applications for risk analysis and hazard identification.
Page 7Artificial intelligence in the Railway Industry
Door-to-Door Journey Planner for passangers and freights. Support tools for dispatches (Optimal decisions). Increase the Capacity & Support the liberalization. Energy optimisation for Vehicles & ATO. Optimal evacuation in real time.
PLANING SCHEDULING & OPTIMIZATION
Page 8Artificial intelligence in the Railway Industry
Artificial intelligence in the Railway Industry
SMART VISION Security Applications. Ticketing. User experience and crowd movements. Driver Assistance System.
Page 9
MACHINE LEARNING
TMS Applications: Predictive algorithm able to forecast delays. Retailers applications: Analytics on passenger preferences. Predictive maintenance. Building Automation.
Page 10Artificial intelligence in the Railway Industry
Assist travellers. Help to carry luggage. Creating automatons. Detect shoplifters.
Photo: SNCF Gares & Connexions.
ROBOTIC
Page 11Artificial intelligence in the Railway Industry
UNDER THE HIGH PATRONAGE OF ORGANISERS
THANK YOU / GRACIAS
Daniel Martín de Lucas Managing Director
daniel.martin@limmat‐group.comwww.limmat‐group.com
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