Creative achievement, Journal paper

Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation

Both the industrial and the scientific communities are working on problems related to vehicular traffic congestion, intelligent transportation systems, and mobility patterns using information collected from a variety of sources. Usually, a vehicular traffic simulator, with an appropriate scenario for the problem at hand, is used to reproduce realistic mobility patterns. Many mobility simulators are available, and the choice is made based on the type of simulation required, but a common problem is finding a realistic traffic scenario. The aim of this work is to provide and evaluate a scenario able to meet all the basic requirements in terms of size, realism, and duration, in order to have a common basis for evaluations. In the interest of building a realistic scenario, we used information from a real city with a typical topology common in mid-size European cities, and realistic traffic demand and mobility patterns. In this paper, we show the process used to build the Luxembourg SUMO Traffic (LuST) Scenario, and present a summary of its characteristics together with our evaluation and validation of the traffic demand and mobility patterns.

Reference

  • L. Codeca, R. Frank, S. Faye, and T. Engel, “Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation,” IEEE Intelligent Transportation Systems Magazine, 2016. | Bibtex citation
    @article{LC-ITSM-16,
    Author = {Lara Codeca and Raphael Frank and S{\'e}bastien Faye and Thomas Engel},
    Journal = {IEEE Intelligent Transportation Systems Magazine},
    Title = {Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation},
    Year = 2016}