Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors
Smart cities are an ongoing research topic with multiple sub-research areas, from traffic control to optimization and even safety. However, testing the new methodologies or technologies directly in the real world is an almost impossible feat that, inclusively, can result in disaster. Thus, there is...
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Format: | Article |
Language: | English |
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MDPI AG
2023-12-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/12/24/4971 |
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author | Fábio Gonçalves Gonçalo O. Silva Alexandre Santos Ana Maria A. C. Rocha Hugo Peixoto Dalila Durães José Machado |
author_facet | Fábio Gonçalves Gonçalo O. Silva Alexandre Santos Ana Maria A. C. Rocha Hugo Peixoto Dalila Durães José Machado |
author_sort | Fábio Gonçalves |
collection | DOAJ |
description | Smart cities are an ongoing research topic with multiple sub-research areas, from traffic control to optimization and even safety. However, testing the new methodologies or technologies directly in the real world is an almost impossible feat that, inclusively, can result in disaster. Thus, there is the importance of simulation. Simulation enables testing new and complex methodologies and gauging their impact in a realistic context without adding any safety issues. Additionally, these can accurately map real-world conditions depending on the simulation configuration. One key aspect of the simulation is the traffic flows in the simulated region. These may be hard to find and, if ill-set, may introduce bias in the results. This work is on the characterization of the traffic in the city center of Guimarães, Portugal. An urban simulation scenario was established, using SUMO as the mobility traffic simulator, with traffic patterns derived from real-world data provided by Guimarães City Hall and using Eclipse MOSAIC for extended vehicular simulation. Apart from mobility patterns analysis, this work also provides publicly accessible datasets, simulations, and applications made available to future research works. |
first_indexed | 2024-03-08T20:50:04Z |
format | Article |
id | doaj.art-b7ddafb72fd04ad2b908eedd4a810514 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-08T20:50:04Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-b7ddafb72fd04ad2b908eedd4a8105142023-12-22T14:05:06ZengMDPI AGElectronics2079-92922023-12-011224497110.3390/electronics12244971Urban Traffic Simulation Using Mobility Patterns Synthesized from Real SensorsFábio Gonçalves0Gonçalo O. Silva1Alexandre Santos2Ana Maria A. C. Rocha3Hugo Peixoto4Dalila Durães5José Machado6ALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalALGORITMI Research Centre, Universidade do Minho, 4710-057 Braga, PortugalSmart cities are an ongoing research topic with multiple sub-research areas, from traffic control to optimization and even safety. However, testing the new methodologies or technologies directly in the real world is an almost impossible feat that, inclusively, can result in disaster. Thus, there is the importance of simulation. Simulation enables testing new and complex methodologies and gauging their impact in a realistic context without adding any safety issues. Additionally, these can accurately map real-world conditions depending on the simulation configuration. One key aspect of the simulation is the traffic flows in the simulated region. These may be hard to find and, if ill-set, may introduce bias in the results. This work is on the characterization of the traffic in the city center of Guimarães, Portugal. An urban simulation scenario was established, using SUMO as the mobility traffic simulator, with traffic patterns derived from real-world data provided by Guimarães City Hall and using Eclipse MOSAIC for extended vehicular simulation. Apart from mobility patterns analysis, this work also provides publicly accessible datasets, simulations, and applications made available to future research works.https://www.mdpi.com/2079-9292/12/24/4971traffic simulationSimulation of Urban MObilityurban mobility datasetsEclipse MOSAIC |
spellingShingle | Fábio Gonçalves Gonçalo O. Silva Alexandre Santos Ana Maria A. C. Rocha Hugo Peixoto Dalila Durães José Machado Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors Electronics traffic simulation Simulation of Urban MObility urban mobility datasets Eclipse MOSAIC |
title | Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors |
title_full | Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors |
title_fullStr | Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors |
title_full_unstemmed | Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors |
title_short | Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors |
title_sort | urban traffic simulation using mobility patterns synthesized from real sensors |
topic | traffic simulation Simulation of Urban MObility urban mobility datasets Eclipse MOSAIC |
url | https://www.mdpi.com/2079-9292/12/24/4971 |
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