m (Scipediacontent moved page Draft Content 430178619 to Stolfi et al 2018a) |
|||
| Line 2: | Line 2: | ||
== Abstract == | == Abstract == | ||
| − | 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. Universidad de | + | 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. Universidad de Málaga. Campus de Excelencia Internacional AndalucÃa Tech. This research has been partially funded by the Spanish MINECO and FEDER projects TIN2014-57341-R, TIN2016-81766-REDT, and TIN2017-88213-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. |
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| Line 19: | Line 14: | ||
* [https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf] | * [https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf] | ||
| + | |||
| + | * [http://link.springer.com/content/pdf/10.1007/978-3-030-00374-6_36 http://link.springer.com/content/pdf/10.1007/978-3-030-00374-6_36], | ||
| + | : [http://dx.doi.org/10.1007/978-3-030-00374-6_36 http://dx.doi.org/10.1007/978-3-030-00374-6_36] under the license http://www.springer.com/tdm | ||
| + | |||
| + | * [https://link.springer.com/chapter/10.1007/978-3-030-00374-6_36 https://link.springer.com/chapter/10.1007/978-3-030-00374-6_36], | ||
| + | : [https://riuma.uma.es/xmlui/handle/10630/16954 https://riuma.uma.es/xmlui/handle/10630/16954], | ||
| + | : [https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf], | ||
| + | : [https://dblp.uni-trier.de/db/conf/caepia/caepia2018.html#StolfiCCA18 https://dblp.uni-trier.de/db/conf/caepia/caepia2018.html#StolfiCCA18], | ||
| + | : [https://rd.springer.com/chapter/10.1007/978-3-030-00374-6_36 https://rd.springer.com/chapter/10.1007/978-3-030-00374-6_36], | ||
| + | : [https://academic.microsoft.com/#/detail/2893712204 https://academic.microsoft.com/#/detail/2893712204] | ||
Revision as of 15:59, 21 January 2021
Abstract
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. Universidad de Málaga. Campus de Excelencia Internacional AndalucÃa Tech. This research has been partially funded by the Spanish MINECO and FEDER projects TIN2014-57341-R, TIN2016-81766-REDT, and TIN2017-88213-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.
Original document
The different versions of the original document can be found in:
- http://dx.doi.org/10.1007/978-3-030-00374-6_36 under the license http://www.springer.com/tdm
- https://riuma.uma.es/xmlui/handle/10630/16954,
- https://riuma.uma.es/xmlui/bitstream/10630/16954/1/caepia-2018-cargo.pdf,
- https://dblp.uni-trier.de/db/conf/caepia/caepia2018.html#StolfiCCA18,
- https://rd.springer.com/chapter/10.1007/978-3-030-00374-6_36,
- https://academic.microsoft.com/#/detail/2893712204
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1007/978-3-030-00374-6_36
Licence: CC BY-NC-SA license
Share this document
Keywords
claim authorship
Are you one of the authors of this document?