Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research
In recent years, cities are experiencing changes in the ways of moving around, increasing the use of micromobility vehicles. Bicycles are the most widespread transport mode and, therefore, cyclists’ behaviour, safety, and comfort have been widely studied. However, the use of other personal mobility...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/21/8215 |
| _version_ | 1797466554221199360 |
|---|---|
| author | Ana María Pérez-Zuriaga David Llopis-Castelló Víctor Just-Martínez Alejandra Sofía Fonseca-Cabrera Carlos Alonso-Troyano Alfredo García |
| author_facet | Ana María Pérez-Zuriaga David Llopis-Castelló Víctor Just-Martínez Alejandra Sofía Fonseca-Cabrera Carlos Alonso-Troyano Alfredo García |
| author_sort | Ana María Pérez-Zuriaga |
| collection | DOAJ |
| description | In recent years, cities are experiencing changes in the ways of moving around, increasing the use of micromobility vehicles. Bicycles are the most widespread transport mode and, therefore, cyclists’ behaviour, safety, and comfort have been widely studied. However, the use of other personal mobility vehicles is increasing, especially e-scooters, and related studies are scarce. This paper proposes a low-cost open-source data acquisition system to be installed on an e-scooter. This system is based on Raspberry Pi and allows collecting speed, acceleration, and position of the e-scooter, the lateral clearance during meeting and overtaking manoeuvres, and the vibrations experienced by the micromobility users when riding on a bike lane. The system has been evaluated and tested on a bike lane segment to ensure the accuracy and reliability of the collected data. As a result, the use of the proposed system allows highway engineers and urban mobility planners to analyse the behaviour, safety, and comfort of the users of e-scooters. Additionally, the system can be easily adapted to another micromobility vehicle and used to assess pavement condition and micromobility users’ riding comfort on a cycling network when the budget is limited. |
| first_indexed | 2024-03-09T18:41:27Z |
| format | Article |
| id | doaj.art-cca51cae858146a1a34bc6dbef2e6dda |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T18:41:27Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cca51cae858146a1a34bc6dbef2e6dda2023-11-24T06:44:32ZengMDPI AGSensors1424-82202022-10-012221821510.3390/s22218215Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility ResearchAna María Pérez-Zuriaga0David Llopis-Castelló1Víctor Just-Martínez2Alejandra Sofía Fonseca-Cabrera3Carlos Alonso-Troyano4Alfredo García5Highway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainHighway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainHighway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainHighway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainHighway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainHighway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, SpainIn recent years, cities are experiencing changes in the ways of moving around, increasing the use of micromobility vehicles. Bicycles are the most widespread transport mode and, therefore, cyclists’ behaviour, safety, and comfort have been widely studied. However, the use of other personal mobility vehicles is increasing, especially e-scooters, and related studies are scarce. This paper proposes a low-cost open-source data acquisition system to be installed on an e-scooter. This system is based on Raspberry Pi and allows collecting speed, acceleration, and position of the e-scooter, the lateral clearance during meeting and overtaking manoeuvres, and the vibrations experienced by the micromobility users when riding on a bike lane. The system has been evaluated and tested on a bike lane segment to ensure the accuracy and reliability of the collected data. As a result, the use of the proposed system allows highway engineers and urban mobility planners to analyse the behaviour, safety, and comfort of the users of e-scooters. Additionally, the system can be easily adapted to another micromobility vehicle and used to assess pavement condition and micromobility users’ riding comfort on a cycling network when the budget is limited.https://www.mdpi.com/1424-8220/22/21/8215instrumented e-scootermicromobility safetysensorsRaspberry Pidata acquisition system |
| spellingShingle | Ana María Pérez-Zuriaga David Llopis-Castelló Víctor Just-Martínez Alejandra Sofía Fonseca-Cabrera Carlos Alonso-Troyano Alfredo García Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research Sensors instrumented e-scooter micromobility safety sensors Raspberry Pi data acquisition system |
| title | Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research |
| title_full | Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research |
| title_fullStr | Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research |
| title_full_unstemmed | Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research |
| title_short | Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research |
| title_sort | implementation of a low cost data acquisition system on an e scooter for micromobility research |
| topic | instrumented e-scooter micromobility safety sensors Raspberry Pi data acquisition system |
| url | https://www.mdpi.com/1424-8220/22/21/8215 |
| work_keys_str_mv | AT anamariaperezzuriaga implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch AT davidllopiscastello implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch AT victorjustmartinez implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch AT alejandrasofiafonsecacabrera implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch AT carlosalonsotroyano implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch AT alfredogarcia implementationofalowcostdataacquisitionsystemonanescooterformicromobilityresearch |