RT Conference Proceedings
T1 An Intelligent Advisor for City Traffic Policies
A1 Stolfi, Daniel H.
A1 Cintrano López, Christian
A1 Chicano-García, José-Francisco
A1 Alba-Torres, Enrique
K1 Inteligencia artificial
AB Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Sinceeach vehicle class has a maximum cargo capacity, we study in this article how authorities could improve the road traffic by endorsing long term policies to change the different vehicle proportions: sedans, minivans, full size vans, trucks, and motorbikes, without losing the ability of moving cargo throughout the city. We have performed our study in a realistic scenario (map, road traffic characteristics, and number of vehicles) of the city of Malaga and captured the many details into the SUMO microsimulator. After analyzing the relationship between travel times, emissions, and fuel consumption, we have defined a multiobjective optimization problem to be solved, so as to minimize these city metrics. Our results provide a scientific evidence that we can improve the delivery of goodsin the city by reducing the number of heavy duty vehicles and fostering the use of vans instead.
YR 2018
FD 2018-11-26
LK https://hdl.handle.net/10630/16954
UL https://hdl.handle.net/10630/16954
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.This research has been partially funded by the Spanish MINECO and FEDER projects TIN2014-57341-R, TIN2016-81766-REDT, andTIN2017-88213-R. University of Malaga, Andalucia TECH. Daniel H. Stolfi is supported by a FPU grant (FPU13/00954) from the Spanish MECD. Christian Cintrano is supported by a FPI grant (BES-2015-074805) from Spanish MINECO.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026