On the simulation of shared autonomous micro-mobility
Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and the use of micro-mobility systems gain strength, the intersection of these fields appears as an area of great opportuni...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Communications in Transportation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772424722000154 |
| _version_ | 1797983662024687616 |
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| author | Naroa Coretti Sanchez Iñigo Martinez Luis Alonso Pastor Kent Larson |
| author_facet | Naroa Coretti Sanchez Iñigo Martinez Luis Alonso Pastor Kent Larson |
| author_sort | Naroa Coretti Sanchez |
| collection | DOAJ |
| description | Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and the use of micro-mobility systems gain strength, the intersection of these fields appears as an area of great opportunity. Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems (SMMS), increasing their efficiency and incentivizing more people to use active mobility modes. The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience. This paper presents an ad-hoc agent-based simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios, including a rebalancing system based on demand prediction. It also allows comparing its performance to station-based and dockless schemes. The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data. The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders, including vehicle design engineers, fleet operators, city planners, and governments. |
| first_indexed | 2024-04-11T06:49:46Z |
| format | Article |
| id | doaj.art-066cc6a487e64811a61974828a97713d |
| institution | Directory Open Access Journal |
| issn | 2772-4247 |
| language | English |
| last_indexed | 2024-04-11T06:49:46Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Communications in Transportation Research |
| spelling | doaj.art-066cc6a487e64811a61974828a97713d2022-12-22T04:39:13ZengElsevierCommunications in Transportation Research2772-42472022-12-012100065On the simulation of shared autonomous micro-mobilityNaroa Coretti Sanchez0Iñigo Martinez1Luis Alonso Pastor2Kent Larson3MIT Media Lab, Cambridge, MA, USA; Corresponding author.University of Navarra, San Sebastian, SpainMIT Media Lab, Cambridge, MA, USAMIT Media Lab, Cambridge, MA, USAFast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and the use of micro-mobility systems gain strength, the intersection of these fields appears as an area of great opportunity. Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems (SMMS), increasing their efficiency and incentivizing more people to use active mobility modes. The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience. This paper presents an ad-hoc agent-based simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios, including a rebalancing system based on demand prediction. It also allows comparing its performance to station-based and dockless schemes. The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data. The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders, including vehicle design engineers, fleet operators, city planners, and governments.http://www.sciencedirect.com/science/article/pii/S2772424722000154Future mobilityAutonomous vehiclesMicro-mobilityAgent-basedsimulationMulti-agentsystems |
| spellingShingle | Naroa Coretti Sanchez Iñigo Martinez Luis Alonso Pastor Kent Larson On the simulation of shared autonomous micro-mobility Communications in Transportation Research Future mobility Autonomous vehicles Micro-mobility Agent-basedsimulation Multi-agentsystems |
| title | On the simulation of shared autonomous micro-mobility |
| title_full | On the simulation of shared autonomous micro-mobility |
| title_fullStr | On the simulation of shared autonomous micro-mobility |
| title_full_unstemmed | On the simulation of shared autonomous micro-mobility |
| title_short | On the simulation of shared autonomous micro-mobility |
| title_sort | on the simulation of shared autonomous micro mobility |
| topic | Future mobility Autonomous vehicles Micro-mobility Agent-basedsimulation Multi-agentsystems |
| url | http://www.sciencedirect.com/science/article/pii/S2772424722000154 |
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