Student Internship
When you have a student internship at Omnitrans International you will be accompanied by an experienced colleague who is your personal mentor. This mentor will accompany you through your internship. Because you will be involved in the daily activities you will get as much out of your internship as possible.
We often have internships available for students or university graduates of Higher Professional Education Computer Science, applied mathematics or traffic management.
Interested?
For more information contact Erik de Romph, director, telephone +31 (0)570 666 880.
Candidates are encouraged to send a cover letter and resume if they are interested in a student internship within our organization, please mention your study:
Attn. Mr. E. de Romph
7400 AD
The
Available projects:
1. Static assignment techniques in combination with junction modelling (math/transport)
OmniTRANS contains a very sophisticated junction modelling module. This module calculates delays for all turning movements at a junction. These delays are part of the path finding in the traffic assignment module. This module assigns traffic to the network based on shortest paths. There are different methods for assignment, such as All or nothing, Volume Averaging and User Equilibrium. For the latter various algorithms exist, such as Frank-Wolfe, Origin-Based or Conjugate Gradient methods.
In this study these different methods need to be compared specifically in relation with junction delays. Also the effect of junction delays on the path choice in existing models is largely unknown and how it effects the link-delay curves. Depending on the expertise and the skills of the student, new methodologies can be be developed together with experts at Omnitrans International.
2. Data availability in relation with traffic modelling (informatics/transport)
A transport model is usually developed with an “off-line character”. Although real data is used in modelling, such as traffic counts and road side interviews, the usage of large amounts of data available in real-time is not common practice.
We at Omnitrans International are convinced that this will change dramatically over the next few years as data becomes easily accessible. Different sources of data such as cameras and floating car data from mobile devices and in-car navigation systems will become commonly available. Also data collected in and around transit systems will become more common.
Within The Netherlands all this data will become available through the “Nationaal Datawarehouse (NDW)”. The subject of this study is the find methods to use these kind of data sources in the modelling process.
