Info Support is the specialist in developing high quality software solutions and leading in the field of artificial intelligence (AI), cloud architecture, managed services and IT training. With an agile mentality and software craftmanship, more than 500 professionals help customers move forward in the agrifood, retail, energy, fintech, mobility, retirement and healthcare sectors. Info Support also believes in the power of the community and actively contributes to various open source initiatives.
We anticipate on upcoming and future challenges and ensure 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 organization 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.
Info Support is happy to think along with you and your thesis supervisor to come up with a research project that suits you and will result in a win-win situation.
This project can be realized in one of two ways:
You choose one of the existing assignments within the scope of our Research Ambitions The research questions that Info Support seeks to answer stem from the Info Support Research Center. These are issues that our clients and IT specialists want to resolve. As a result, you can rest assured that the research you will conduct is highly relevant and will make a valuable contribution to the world of business.
You choose your own research topic and present it for approval to your university’s thesis supervisor and Info Support.
We encourage creativity and initiative and are always open to relevant and interesting topics that can benefit Info Support and its clients. That means your ideas can be as innovative as you want. A few examples of the themes that we can offer a wealth of support for are Software Architecture, Software Development Methodologies and Data & Artificial Intelligence.
As you conduct your research, you will receive intensive support and expert guidance from both a general supervisor and a process supervisor. They will help you come up with a relevant research project and are there for you during the execution of your research. Furthermore, you will be surrounded by professionals from the Info Support Research Center and third parties who are eager to use their expertise and experience to think along with you or answer any substantive questions you may have. In turn, they want to be inspired by you and can immediately apply and test your theories and conclusions in practice.
If you have any questions you can contact our colleague Romana 't Hoen: romana.thoen@infosupport.com.
Efficient planning for demand-driven public transport in rural areas remains a complex challenge. This thesis focuses on designing a route-planning algorithm that integrates NeTEx flex and NeTEx timetable standards. You will develop a proof of concept that meets operational demands and strict business rules, aiming to create practical and scalable solutions for sustainable public transport systems.
💡Areas of Interest: Public transport, flexible routing algorithms, software development, architecture, data exchange protocols.
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.
This thesis concerns an issue relevant to the Dutch public transport sector. In sparsely populated areas, demand-driven transport is increasingly replacing fixed bus lines. This approach enables operators to offer public transport in a more cost-effective and sustainable way. However, creating an efficient transport schedule for such systems remains a challenge.
Currently, established standards exist for flexible transport (NeTEx flex) and regular timetables (NeTEx timetable). Yet, integrating these standards into a cohesive system for planning and advising on demand-driven transport solutions is still an unresolved problem. Existing methods fail to meet both operational requirements and specific business rules within these standards. Suggested routes are inefficient: they often support only shared transport or demand-driven options at either the beginning or end of a journey and they struggle to seamlessly combine the needs of multiple travelers.
The Assignment
Design and develop a route-planning algorithm that leverages the NeTEx flex and NeTEx timetable standards to generate transport advice for demand-driven public transport. The solution must comply with predefined business rules and demonstrate its feasibility through a proof of concept (PoC). Your research will focus on aligning these standards in a practical, scalable, and efficient way, with the ultimate goal of improving sustainable and flexible transport operations.
B2 language proficiency in Dutch is required.
Find more benefits when graduating with Info Support and the thesis assignment here.
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