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NEWS 09-11-2020
SISCOG at the Virtual ITS European Congress
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NEWS 16-10-2020
Bridging the gap... between academia and business
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Paper
Optimising timetables with Machine Learning
SISCOG has just published a scientific paper addressing the optimisation of public transport timetables with respect to passenger’s total travel times, combining several techniques that have never been applied in the field, including reinforcement learning. The approach applied to real-world data pe… -
CASE STUDY
VIA RAIL Canada saves millions in optimised operation
SISCOG has released a case study that highlights the financial and management advantages of the decision-support and optimisation system used by the Canadian operator VIA RAIL. One of the benefits was a 10M CAD saving by reducing the need for one train set, while increasing overall passenger seat av… -
PAPER 08-04-2020
Rescheduling in emergency scenarios
Unexpected events bring different levels of disruptions to our lives and to businesses. Public transport is no exception. And here, the impact may be multiple – on passengers, staff, revenue, and profit. -
EVENT 20-02-2020
Maths’ day @ SISCOG, March 4th
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EVENT 14-01-2020
Converting Maths into National Exports: the SISCOG's case study
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Event 21-10-2019
Job hunting? Visit us at START POiNT, October 22
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EVENT 26-09-2019
Pitch Bootcamp@Técnico
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Event 13-09-2019
SISCOG Open Day
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EVENT 29-08-2019
SISCOG sponsors EPIA 2019
On September 3-6, the international conference on Artificial Intelligence EPIA 2019, will address a wide spectrum of Artificial Intelligence (AI) thematics, from transport to medicine and agriculture. The purpose of this conference is to promote research in all areas of AI, covering both theoreti… -
EVENT 11-07-2019
OR (and SISCOG) meets Machine Learning at IO2019 Congress
The scientific program of the annual Portuguese Congress of Operations Research - IO2019 - will include 4 SISCOG presentations. Under the theme “OR meets Machine Learning”, the event takes place at Politécnico de Tomar, on July 22-24 2019, and promotes the reunion between students and academia to d…