Nodus 7.0 - Multimodal Freight Transport Network Modeling
- Network model
- Freight transport
- Modal choice/assignment
- Transport policy
The UCL software
Nodus implements the "Virtual networks" methodology developed at UCL*, an alternative to the classical "four steps" technique to model multimodal and intermodal transport flows over networks, as it combines the "modal-choice" and "assignment" phases of the latter in a single step.
This methodology has already lead to numerous policy-oriented studies on large scale multi-modal freight transport networks, such as:
- Regional freight transport planning
- Cost benefit analysis for transport infrastructures
- Optimal locations for intermodal terminals
- Impact of climate change on inland waterways transport
- Internalization of external costs and its potential impact on modal choice
- Estimation of market areas of container hubs
* Jourquin B. and Beuthe M., Transportation Policy Analysis with a GIS: The virtual Network of Freight Transportation in Europe, Transportation Research C, Vol 4, pp. 359-371, n°6, 1996
- Compatible with GIS standards: shape files and web mapping.
- Parallelized algorithms: able to handle very large networks.
- Portable: Linux-Mac-Windows
- Open API: available through scripting or plugin’s
- JDBC: compatible with most DBMS’s. Shipped with HSQLDB.
- Flexible: user defined database fields, variables, cost functions, mode choice models…
- And much more
The software has a modern and integrated user friendly GUI. Source code is available on GitHub under the GPLv3 license.
Application project opportunities with a research company, consultant or start-up, including the development of specific plugin’s or scripts.
UCLouvain is willing to provide different license/partnership schemes for interested parties in order to increase the visibility and use of Nodus outside the academic world.
Interested to develop, use or commercialize this software?
Please contact :
Technological Transfer Advisor
010 47 24 43
Professor in Transport modelling and computer sciences