Research Assistant / Master Thesis (Agent-Based Simulation of Passenger Behaviour at a Public Transit Station)
Area-Interlinking Design Analysis
29 January 2019
Open until filled
Fixed Term (6-9 months)
Technical university of Munich - Campus for Research Excellence and Technological Enterprise (TUMCREATE) is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).
At TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/
About This Position
TUMCREATE is conducting research towards the Ultimate Public Transport System (UPTS) for Singapore based on autonomous mobility and enabling infrastructure. At transit stations, a Dynamic Guidance System (DGS) will be employed to enable optimal passenger flows according to the current autonomous vehicle, bus, and train schedules. Several DGS concepts are currently being developed and will be evaluated and compared using simulations of the passenger flows at the transit stations.
Objectives & Tasks
The goal of the Master's thesis is the development of a simulation model of the crowd behaviour at a selected transit station in Singapore. After an initial literature review, a basic model of the transit station layout will be created. Passengers will be modelled as interacting agents using the established Recognition-Primed Decision framework implemented in the CrowdTools simulator. Based on the agent-based model, evaluations of the effects of different Dynamic Guidance System concepts on the overall passenger flow will be evaluated.
Bachelor’s Degree in Computer Science or related field
Programming skills in Java
Optional: experience with agent-based simulation
Ability to work independently
Motivation to learn new topics
Good communication skills
What We Offer
An international and multidisciplinary working environment
Opportunity to work on a project with real-life relevance
Work with researchers from world-renowned Universities (TU Munich and NTU Singapore)
How To Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to Philipp Andelfinger (firstname.lastname@example.org).
Thank you for your applications, only shortlisted candidates will be notified.