A platform to optimize urban deliveries with e-vans
The paper reports the results of a research targeted to develop a Decision Support System (DSS) for planning and operation of urban deliveries carried out with electric vans. The research was included within the 2019-21 Research Program for the Electric System, coordinated by the Italian Ministry f...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Università di Napoli Federico II
2023-08-01
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| Series: | TeMA: Journal of Land Use, Mobility and Environment |
| Subjects: | |
| Online Access: | http://www.serena.unina.it/index.php/tema/article/view/9911 |
| _version_ | 1797226225073127424 |
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| author | Maria Pia Valentini Filippo Carrese Chiara Colombaroni Valentina Conti Matteo Corazza Maria Lelli Mostafa Mohammadi Silvia Orchi Fernando Ortenzi Golman Rahmanifar Giuseppe Tomasino Gaetano Fusco |
| author_facet | Maria Pia Valentini Filippo Carrese Chiara Colombaroni Valentina Conti Matteo Corazza Maria Lelli Mostafa Mohammadi Silvia Orchi Fernando Ortenzi Golman Rahmanifar Giuseppe Tomasino Gaetano Fusco |
| author_sort | Maria Pia Valentini |
| collection | DOAJ |
| description | The paper reports the results of a research targeted to develop a Decision Support System (DSS) for planning and operation of urban deliveries carried out with electric vans.
The research was included within the 2019-21 Research Program for the Electric System, coordinated by the Italian Ministry for the Ecological Transition, and has been performed by ENEA, the Italian Agency for Energy, New Technologies and Sustainable Development, and “La Sapienza” University of Rome.
The new DSS is based on meta-heuristics algorithms capable to manage a generic set of goods to be delivered by means of a generic fleet of electric vans, with the objective of minimizing the overall cost of the daily operation. The algorithm considers all the physical constraints, including vehicles batteries capacity. It is assumed that fast recharges can be performed during the delivery tours.
For the real-time operation, a monitoring system of the vehicle fleet, road network and recharge stations is assumed, based on IoT technologies, in order to detect possible unexpected events and manage them in the best way, according to the available resources time by time.
The paper describes the DSS general architecture, the optimization algorithms and the recovery procedures and shows results for two testbeds. |
| first_indexed | 2024-03-11T22:06:57Z |
| format | Article |
| id | doaj.art-72fc3ce3c1024688a2a5590b3f6a0f91 |
| institution | Directory Open Access Journal |
| issn | 1970-9889 1970-9870 |
| language | English |
| last_indexed | 2024-04-24T14:21:31Z |
| publishDate | 2023-08-01 |
| publisher | Università di Napoli Federico II |
| record_format | Article |
| series | TeMA: Journal of Land Use, Mobility and Environment |
| spelling | doaj.art-72fc3ce3c1024688a2a5590b3f6a0f912024-04-03T06:33:32ZengUniversità di Napoli Federico IITeMA: Journal of Land Use, Mobility and Environment1970-98891970-98702023-08-0116240342310.6093/1970-9870/99119911A platform to optimize urban deliveries with e-vansMaria Pia Valentini0Filippo Carrese1Chiara Colombaroni2Valentina Conti3Matteo Corazza4Maria Lelli5Mostafa Mohammadi6Silvia Orchi7Fernando Ortenzi8Golman Rahmanifar9Giuseppe Tomasino10Gaetano Fusco11ENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentLa Sapienza - University of RomeLa Sapienza - University of RomeENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentLa Sapienza - University of RomeENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentLa Sapienza - University of RomeENEA - Italian Agency for Energy, New Technologies and Sustainable DevelopmentLa Sapienza - University of RomeThe paper reports the results of a research targeted to develop a Decision Support System (DSS) for planning and operation of urban deliveries carried out with electric vans. The research was included within the 2019-21 Research Program for the Electric System, coordinated by the Italian Ministry for the Ecological Transition, and has been performed by ENEA, the Italian Agency for Energy, New Technologies and Sustainable Development, and “La Sapienza” University of Rome. The new DSS is based on meta-heuristics algorithms capable to manage a generic set of goods to be delivered by means of a generic fleet of electric vans, with the objective of minimizing the overall cost of the daily operation. The algorithm considers all the physical constraints, including vehicles batteries capacity. It is assumed that fast recharges can be performed during the delivery tours. For the real-time operation, a monitoring system of the vehicle fleet, road network and recharge stations is assumed, based on IoT technologies, in order to detect possible unexpected events and manage them in the best way, according to the available resources time by time. The paper describes the DSS general architecture, the optimization algorithms and the recovery procedures and shows results for two testbeds.http://www.serena.unina.it/index.php/tema/article/view/9911urban deliverieselectric vansdecision support system |
| spellingShingle | Maria Pia Valentini Filippo Carrese Chiara Colombaroni Valentina Conti Matteo Corazza Maria Lelli Mostafa Mohammadi Silvia Orchi Fernando Ortenzi Golman Rahmanifar Giuseppe Tomasino Gaetano Fusco A platform to optimize urban deliveries with e-vans TeMA: Journal of Land Use, Mobility and Environment urban deliveries electric vans decision support system |
| title | A platform to optimize urban deliveries with e-vans |
| title_full | A platform to optimize urban deliveries with e-vans |
| title_fullStr | A platform to optimize urban deliveries with e-vans |
| title_full_unstemmed | A platform to optimize urban deliveries with e-vans |
| title_short | A platform to optimize urban deliveries with e-vans |
| title_sort | platform to optimize urban deliveries with e vans |
| topic | urban deliveries electric vans decision support system |
| url | http://www.serena.unina.it/index.php/tema/article/view/9911 |
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