Short Course on Railway Traffic Optimisation
This introductory one-day course will provide a basic understanding about railway traffic optimisation. After taking this course, you will understand how often-used traffic optimisation models and algorithms work; the requirements for the algorithms; and their performance in different conditions. You will also be able to solve simple train scheduling problems using basic techniques (learned on the course), and to specify and evaluate the requirements for traffic management system (TMS) development and procurements.
Short Course on Railway Traffic Optimisation
16 Aug 2019, 09:15 – 16:30
Please note, this course is nearly sold out; clicking the link above may prompt you to join the waitlist.
Programme
- 9.15 - 9.30: Introduction.
- 9.30 – 10.15: State of the Art on railway traffic management - States of the art in modelling and solving railway traffic management problems: Where we are, what has still to be done.
- 10.30 – 12.45: Lecture 1: Train timetabling using Linear Integer Programming. Covering Introduction of Linear Integer Programming; Application to railway timetabling: A simple case study, solving MS Excel Solver; Application to railway timetabling: Advanced topics.
- 12.45 - 13.30: Lunch.
- 13.30 – 15.45: Lecture 2: Train rescheduling using Job Shop Scheduling • Covering Introduction to scheduling techniques; Modelling the train rescheduling problem; Solving the train rescheduling problem; Some real-world applications.
- 15.45 – 16.30: Discussion and Conclusion.
Prof D'Ariano is currently coordinating the AIRO Chapter on “Optimization in Public Transport and Shared Mobility”. He is also Associate Editor of well-known international journals, such as Transportation Research Part B and conferences (e.g. IEEE ITSC). His main research interest is the study of scheduling problems with application to public transportation.
Yihui Wang
Associate Professor, State Key Laboratory of Rail Traffic Control and Safety
Beijing Jiaotong University
Prof Wang received her Ph.D. degree in train control and train scheduling for railway systems from the Delft Center for Systems and Control, Delft University of Technology, The Netherlands, in 2014. Her research interests include energy-efficient train control, train scheduling, disruption management, and optimisation algorithms.
Dr Fujiyama received a PhD in Transport Studies from University College London. He has been UCL’s Principal Investigator for Railway Traffic Optimisation Project: DEDOTS.
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes
