RT Conference Proceedings
T1 An Evolutionary Algorithm to Generate Real Urban Traffic Flows
A1 Stolfi, Daniel H.
A1 Alba-Torres, Enrique
K1 Movilidad de desplazamiento
AB In this article we present a strategy based on an evolutionary algorithm to calculate the real vehicle  ows in cities according to data from sensors placed in the streets. We have worked with a map imported from OpenStreetMap into the SUMO traffic simulator so that the resulting scenarios can be used to perform different optimizations with the confidence of being able to work with a traffic distribution close to reality. We have compared the results of our algorithm to other competitors and achieved results that replicate the real traffic distribution with a precision higher than 90%.
PB Springer International Publishing
YR 2015
FD 2015
LK http://hdl.handle.net/10630/10700
UL http://hdl.handle.net/10630/10700
LA spa
NO D. H. Stolfi and E. Alba, “An Evolutionary Algorithm to Generate Real Urban Traffic Flows,” in Advances in Artificial Intelligence, vol. 9422, Eds. Springer International Publishing, 2015, pp. 332–343.
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.                      This research has been partially funded by project number 8.06/5.47.4142 in collaboration with the VSB-Technical University of Ostrava and Universidad de Málaga UMA/FEDER FC14-TIC36, programa de fortalecimiento de las capacidades de I+D+i en las universidades 2014-2015, de la Consejería de Economía, Innovación, Ciencia y Empleo, cofinanciado por el fondo europeo de desarrollo regional (FEDER). Also, partially funded by the Spanish MINECO project TIN2014-57341-R (http://moveon.lcc.uma.es). The authors would like to thank the FEDER of European Union for financial support via project Movilidad Inteligente: Wi-Fi, Rutas y Contaminación (maxCT) of the "Programa Operativo FEDER de Andalucía 2014-2020. We also thank all Agency of Public Works of Andalusia Regional Government staff and researchers for their dedication and professionalism. Daniel H. Stolfi is supported by a FPU grant (FPU13/00954) from the Spanish Ministry of Education, Culture and Sports.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 22 ene 2026