2026-06-01T19:50:22Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/169542026-02-03T12:07:21Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Stolfi, Daniel H.
author
Cintrano López, Christian
author
Chicano-García, José-Francisco
author
Alba-Torres, Enrique
2018-11-26T10:44:13Z
2018-11-26T10:44:13Z
2018-11-26
https://hdl.handle.net/10630/16954
Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since
each 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 goods
in the city by reducing the number of heavy duty vehicles and fostering the use of vans instead.
eng
Inteligencia artificial
An Intelligent Advisor for City Traffic Policies
conference output
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URL
https://riuma.uma.es/bitstreams/0855ddfd-18dd-4f7f-b189-f9d715ddc681/download
File
MD5
03574098caa024c7721e9cb8d421f9d5
2372694
application/pdf
caepia-2018-cargo.pdf