Master's thesis: Forecasting Optimal Public Transport Deployability across the Netherlands (Project SPITS)

Key Skills

Aartificial intelligence, Data science techniques, Finance, IT, Machine learning techniques, Teamwork, US Healthcare Recruitment

Job Description

Public transportation's accessibility and sustainability are central to the Dutch plan ledereen stapt in. The ambition is for 95% of households to access essential amenities within 45 minutes using public transport. Yet, areas with lower densities present challenges. To solve this, a Machine Learning model is needed, using data on essential services, transportation schedules, networks, and population density. The goal is to identify scheduling bottlenecks and offer solutions, potentially boosting efficiency and profitability for transport providers.

Required interest(s)

• Data Science
• Machine Learning
• Passenger Flow Forecasting

What do you get

• A challenging assignment within a practical environment
• € 1000 compensation, € 500 + lease car or € 600 + living space
• Professional guidance
• Courses aimed at your graduation period
• Support from our academic Research center at your disposal
• Two vacation days per month

What you will do

• 65% Research
• 10% Analyze, design, realize
• 25% Documentation

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This graduation assignment is part of the Sustainable Public Integrated Transport Solution (SPITS) graduation project. With this project, we are committed to providing travelers with the ideal travel experience solution, making public transport much more accessible, and significantly more sustainable.

Public transportation is important for all of us. Iedereen stapt in is one of the plans devised in this regard. This plan expresses the ambition to make public transport accessible, affordable, and sustainable. One of the intentions is that 95% of households should be able to reach a school, hospital, and supermarket within 45 minutes using some form of public transportation.

Assignment

However, especially in areas with lower density, the proposed threshold of 45 minutes to the nearest point of interest might not yet be feasible using the current public transport schedule. A sought-after solution to aid this initiative would be to train a Machine Learning model that is able to identify the places where adding a train or bus, changing the route, or altering the schedule could have the maximum impact on the number of people that can reach these essential services. The goal of your Master Thesis is to combine data about essential services, the current public transport schedule, the train and road network, and the population density of The Netherlands.

With this data, you will train a series of Machine Learning models that can help identify locations where the goal of 45 minutes to the nearest point of interest cannot be met with the current public transport schedule. To improve usability, the models will need to propose solutions to mitigate these scheduling bottlenecks based on the information available. Furthermore, this research can extend to verify the feasibility of the proposed solutions within the current schedule and test the profitability of the proposed solutions for the public transport carrier.

Do you want to read more about the entire graduation project SPITS? Click here.

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About Info Support Research Center

We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.

Read more about Info Support Research here.

What does Info Support offer you during your graduation period?

Of course, we offer you an excellent package of graduation conditions with various options. These include:

• Laptop, all necessary tools, and development environments to successfully carry out your assignment
• A graduation allowance, where you have the choice of:
• € 1000 gross per month
• € 500 gross per month + lease car with fuel card
• €600 gross per month + accommodation in Veenendaal

During your graduation internship, you will be included in one of our business units and in our Research Center. This will give you a good understanding of the developments within our projects and our research projects.

In addition, Info Support offers you:

• A challenging master’s thesis at a solid, growing, and financially healthy company
• Professional and experienced guidance, hybrid working
• A graduation program with, among other things, training sessions, knowledge evenings, project visits, activities, and team, unit, and company outings
• Experimentation with new products and releases that are in the pre-release phase
• Brainstorming with other graduates and IT colleagues who are collegial and passionate
• Potential for a permanent position in our IT Top Traineeship program!