A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications
The fifth-generation (5G) network is the current emerging technology that meets the increasing need for higher throughputs and greater system capacities. It is expected that 5G technology will enable many new applications and services. Vehicle-to-everything (V2X) communication is an example of an ap...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/8/3751 |
| _version_ | 1797437047143661568 |
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| author | Ibtihal Ahmed Alablani Mohammed Amer Arafah |
| author_facet | Ibtihal Ahmed Alablani Mohammed Amer Arafah |
| author_sort | Ibtihal Ahmed Alablani |
| collection | DOAJ |
| description | The fifth-generation (5G) network is the current emerging technology that meets the increasing need for higher throughputs and greater system capacities. It is expected that 5G technology will enable many new applications and services. Vehicle-to-everything (V2X) communication is an example of an application that is supported by 5G technology and beyond. A V2X communication system allows a vehicle to be connected to an entity, such as a pedestrian, another vehicle, infrastructure, and a network, to provide a robust transportation solution. It uses many models and strategies that are usually based on machine learning (ML) techniques, which require the use of a vehicle dataset. In this paper, a real vehicle dataset is proposed that was generated in the city of Los Angeles (LA). It is called the Vehicle dataset in the city of LA (VehDS-LA). It has 74,170 samples that are located on 15 LA streets and each sample has 4 features. The LA dataset has been opened to allow researchers in V2X and ML fields to use it for academic purposes. The main uses of the VehDS-LA dataset are studies related to 5G networks, vehicle automation, or ML-Based vehicle mobility applications. The proposed dataset overcomes limitations experienced by previous related works. |
| first_indexed | 2024-03-09T11:13:20Z |
| format | Article |
| id | doaj.art-c7b5c78f9c5a4ca8825282a560b75276 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T11:13:20Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c7b5c78f9c5a4ca8825282a560b752762023-12-01T00:37:55ZengMDPI AGApplied Sciences2076-34172022-04-01128375110.3390/app12083751A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning ApplicationsIbtihal Ahmed Alablani0Mohammed Amer Arafah1Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaThe fifth-generation (5G) network is the current emerging technology that meets the increasing need for higher throughputs and greater system capacities. It is expected that 5G technology will enable many new applications and services. Vehicle-to-everything (V2X) communication is an example of an application that is supported by 5G technology and beyond. A V2X communication system allows a vehicle to be connected to an entity, such as a pedestrian, another vehicle, infrastructure, and a network, to provide a robust transportation solution. It uses many models and strategies that are usually based on machine learning (ML) techniques, which require the use of a vehicle dataset. In this paper, a real vehicle dataset is proposed that was generated in the city of Los Angeles (LA). It is called the Vehicle dataset in the city of LA (VehDS-LA). It has 74,170 samples that are located on 15 LA streets and each sample has 4 features. The LA dataset has been opened to allow researchers in V2X and ML fields to use it for academic purposes. The main uses of the VehDS-LA dataset are studies related to 5G networks, vehicle automation, or ML-Based vehicle mobility applications. The proposed dataset overcomes limitations experienced by previous related works.https://www.mdpi.com/2076-3417/12/8/37515GGoogle MapsIoVITSLos Angelesmachine learning |
| spellingShingle | Ibtihal Ahmed Alablani Mohammed Amer Arafah A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications Applied Sciences 5G Google Maps IoV ITS Los Angeles machine learning |
| title | A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications |
| title_full | A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications |
| title_fullStr | A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications |
| title_full_unstemmed | A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications |
| title_short | A New Vehicle Dataset in the City of Los Angeles for V2X and Machine Learning Applications |
| title_sort | new vehicle dataset in the city of los angeles for v2x and machine learning applications |
| topic | 5G Google Maps IoV ITS Los Angeles machine learning |
| url | https://www.mdpi.com/2076-3417/12/8/3751 |
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