Enrique Rubio Royo

Stochastic vs deterministic traffic simulator. comparative study for its use within a traffic light cycles optimization architecture

Last year we presented at the CEC2004 conference a novel architecture for traffic light cycles optimization. The heart of this architecture is a Traffic Simulator used as the evaluation tool (fitness function) within the Genetic Algorithm. Initially we allowed the simulator to have a random behavior. Although the results from this sort of simulation were consistent, it was necessary to run a huge amount of simulations before we could get a significant value for the fitness of each individual of the population . So we assumed some simplifications to be able to use a deterministic simulator instead of the stochastic one. In this paper we will confirm that it was the right decision; we will show that there is a strong linear correlation between the results of both simulators. Hence we show that the fitness ranking obtained by the deterministic simulator is as good as the obtained with the stochastic one.

Study of correlation among several traffic parameters using evolutionary algorithms: traffic flow, greenhouse emissions and network occupancy

During the last two years we have been working on the optimisation of traffic lights cycles. We designed an evolutionary, distributed architecture to do this. This architecture includes a Genetic Algorithm for the optimisation. So far we have performed a single criterion optimisation - the total volume of vehicles that left the network once the simulation finishes. Our aim is to extend our architecture towards a multicriteria optimisation. We are considering Network Occupancy and Greenhouse Emissions as suitable candidates for our purpose. Throughout this work we will share a statistical based study about the two new criteria that will help us to decide whether to include them or not in the fitness function of our system. To do so we have used data from two real world traffic networks.

Traffic Signals in Traffic Circles: Simulation and Optimization Based Efficiency Study

Traffic Circles are frequently used in cities, to control vehicular traffic at intersections. As said in [1], their main advantages can be the provision of an adequate throughput and the improvement of user safety, by slower vehicle speeds and reducing traffic conflicts.

User generated content in destination marketing organisations

Tourism is one of the sectors which has been more affected by the widespread use of information technologies, due to its link to entertainment and its highly dependence on information. Destination marketing organisations, or DMOs, dedicated to promoting tourism destinations, have used the advantages of information technologies in their websites during the last few years. Recently, a new paradigm, characterised by the use of applications and collaborative tools, which is called Web 2.0, is driving dramatic changes in the promotion of tourist destinations, with a clear shift towards the use of content generated by internet users, and hence, the creation of web-based communities regarding touristic activities around each destination. In this article, we will study and discuss how the major DMOs, according to their |popularity on the internet|, are improving their websites with specific tools in order to exploit the enormous potential of user generated content in web-based communities, characteristic of this new Web 2.0 scenario.

Evolutionary color constancy algorithm based on the gamut mapping paradigm

In recent years, extensive work has been done to design algorithms that strive to mimic the robust human vision system which is able to perceive the true colors and discount the illuminant from a scene viewed under light having different spectral compositions (the feature is called “color constancy”). We propose a straightforward approach to the color constancy problem by employing an Interactive Genetic Algorithm [1] (e.g. a Genetic Algorithm [2], [3] guided by the user) that optimizes a well known and robust variant of color constancy algorithm called “gamut mapping” [4]. Results obtained on a set of test images and comparison to various color constancy algorithms, show that our method achieves a good color constancy behavior with no additional knowledge required besides the image that is to be color-corrected, and with minimal assumptions about the scene captured in the image.

Monitoring technologies in Suricata model for the formal and informal learning areas

This article attempts to explain the results of an investigation into the model Suricata, conducive to analysis and visualization of results in a formal and informal learning environment. For the formal setting a basic computer course is analyzed at the Faculty of Translators and Interpreters. Two groups, German 2 and French 2, are analyzed, the subject being exactly the same for both groups. For these results a platform of formal education, based on Moodle was employed. Where tools have been implemented social network analysis was used. The resident plugin allowed files to be converted into Pajek format. The analysis of these files in Pajek format provides the results presented in this article. For the informal environment an open source software, called Elgg, was used.