This work is a set of tools developed by Nicolas Saunier for transportation analysis, in particular road traffic. The tool revolves around the most typical transportation data type, trajectories, i.e. temporal series of positions. The original work targeted automated road safety analysis using video sensors. 

This piece of software is at a very early stage and does not really provide any finished tool. It contains:

- pieces of C++ code under the c directory, mostly examples related to the use of computer vision libraries, namely OpenCV and KLT (http://www.ces.clemson.edu/~stb/klt)

- python modules that provide classes for trajectories and moving objects (objects with some characteristics and a trajectory), as well as some basic code for simple traffic engineering problems (fundamental diagram and traffic signal timing). 

An Example:

The main use case and example for now is to load and analyze trajectory data from the NGSIM project (ngsim-community.org). In a ipython shell with the pylab option, you can type the following (once the python modules are in your python path). 

$ import storage
$ objects = storage.loadNgsimFile('./trajectories-0400-0415.txt',100)
$ for o in objects: o.draw()

License:

The code is licensed under the MIT open source license (http://www.opensource.org/licenses/mit-license).

If you make use of this piece of software, please cite: N. Saunier, T. Sayed and K. Ismail. Large Scale Automated Analysis of Vehicle Interactions and Collisions. Transportation Research Record: Journal of the Transportation Research Board, 2147:42-50, 2010. I would be very happy in any case to know about any use of the code, and to discuss any opportunity for collaboration. 

Contact me at nicolas.saunier@polymtl.ca and learn more about my work at http://nicolas.saunier.confins.net.