Name: ADS & AMDS Webinar | COVID-19 and Capacity Modelling in Public Transport
Start: 2020-07-02T12:00:00+02:00
End: 2020-07-02T13:00:00+02:00

Amsterdam Data Science (ADS) and Amsterdam Medical Data Science (AMDS) are co-hosting a new lecture series in collaboration with Elsevier and Google to explore 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗮𝗻𝗱 𝗪𝗲𝗮𝗸𝗻𝗲𝘀𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗶𝗻 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵.

Aims:
- Showcase the power and limitations of data centred approaches
- Jointly understand and learn from the different COVID approaches and views
- Shape the time for Data Science research/education after the lock-down

𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝟱: 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵 𝗮𝗻𝗱 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗶𝗻 𝗽𝘂𝗯𝗹𝗶𝗰 𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲
12:00 Welcome & Introduction
12:05 Talk by Dennis Huisman and Menno de Bruyn
12:40 Q&A
13:00 End!

Since Mark Rutte's press conference on March 12, many people are studying and working from home. As a consequence, the number of passengers using public transport has significantly dropped. On Friday March 13, the number of passengers was 85% lower than on a regular Friday. The following week, the reduction was even larger. At the same time, the percentage of employee illness increased significantly.

In this presentation, we will first talk about the short-term challenges NS faced. From March 21 to June 1, NS operated a significantly reduced timetable. We will discuss how this timetable was designed and how advanced algorithms were used to construct this timetable (and the steps to return to the normal timetable) and the related rolling stock and crew schedules.

We will also talk about the challenges that NS will face in the coming years. Passenger demand will be reduced in the coming years due to the economic depression, other behaviour (working from home and online lectures) and passengers' fear of using public transport. To get better predictions on travel behaviour, NS started a large customer survey on passenger behaviour after the COVID-19 crisis. We will present the first results of this survey and the expected impact on NS.

𝗠𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿𝘀
Marc Salomon (ABS UvA, ADS) and Mark Hoogendoorn (VU, AMDS)

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀
Dennis Huisman is Expertise Manager Logistic Processes at NS and Endowed Professor Public Transport Optimization at Erasmus University Rotterdam

Menno de Bruyn is Team Lead Transportation Research at NS

Date: Thursday 2 July 2020
Time: 12:00-13:00

Jeanne Kroeger

Amsterdam AI (AAI) Meetup

Technology

Computer Programming

Robotics

Business Analytics

Artificial Intelligence

Machine Learning

Business Intelligence

Big Data

Data Visualization

Data Analytics

Predictive Analytics

Data Mining

Data Science

Deep Learning

ADS & AMDS Webinar | COVID-19 and Capacity Modelling in Public Transport

Online event

Delen

Amsterdam AI (AAI) Meetup

ADS & AMDS Webinar | COVID-19 and Capacity Modelling in Public Transport

Amsterdam AI (AAI) Meetup

Details

Leden zijn ook geïnteresseerd in