Machine Learning Analysis of Informal Minibus Taxi Driving
This paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. Informal minibus taxis play a crucial role in urban transportation, particularly in developing countries, yet their driving patterns and safety i...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03003.pdf |
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| _version_ | 1841554690113798144 |
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| author | Cele Nomfundo Kibangou Alain Musakwa Walter |
| author_facet | Cele Nomfundo Kibangou Alain Musakwa Walter |
| author_sort | Cele Nomfundo |
| collection | DOAJ |
| description | This paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. Informal minibus taxis play a crucial role in urban transportation, particularly in developing countries, yet their driving patterns and safety implications remain under-explored. We utilize exploratory factor analysis to analyze data collected from smartphone GPS carried by a passenger of a minibus taxi, identifying key driving behaviors and patterns. Our study highlights significant differences in driving styles between controlled and uncontrolled environments, offering insights into safety and efficiency. The findings provide valuable information for policymakers, transportation planners, and technology developers aiming to enhance urban mobility and safety in the informal transport sector. |
| format | Article |
| id | doaj-art-27eafb79abd5406695bf5bb4c654990d |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-27eafb79abd5406695bf5bb4c654990d2025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690300310.1051/itmconf/20246903003itmconf_maih2024_03003Machine Learning Analysis of Informal Minibus Taxi DrivingCele Nomfundo0Kibangou Alain1Musakwa Walter2University of Johannesburg, Department of Urban and Regional Planning, Doornfontein CampusUniv. Grenoble Alpes, CNRS, Inria, Grenoble INP, Gipsa-LabUniversity of Johannesburg, Faculty of Science, GEMES, Auckland park CampusThis paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. Informal minibus taxis play a crucial role in urban transportation, particularly in developing countries, yet their driving patterns and safety implications remain under-explored. We utilize exploratory factor analysis to analyze data collected from smartphone GPS carried by a passenger of a minibus taxi, identifying key driving behaviors and patterns. Our study highlights significant differences in driving styles between controlled and uncontrolled environments, offering insights into safety and efficiency. The findings provide valuable information for policymakers, transportation planners, and technology developers aiming to enhance urban mobility and safety in the informal transport sector.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03003.pdf |
| spellingShingle | Cele Nomfundo Kibangou Alain Musakwa Walter Machine Learning Analysis of Informal Minibus Taxi Driving ITM Web of Conferences |
| title | Machine Learning Analysis of Informal Minibus Taxi Driving |
| title_full | Machine Learning Analysis of Informal Minibus Taxi Driving |
| title_fullStr | Machine Learning Analysis of Informal Minibus Taxi Driving |
| title_full_unstemmed | Machine Learning Analysis of Informal Minibus Taxi Driving |
| title_short | Machine Learning Analysis of Informal Minibus Taxi Driving |
| title_sort | machine learning analysis of informal minibus taxi driving |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03003.pdf |
| work_keys_str_mv | AT celenomfundo machinelearninganalysisofinformalminibustaxidriving AT kibangoualain machinelearninganalysisofinformalminibustaxidriving AT musakwawalter machinelearninganalysisofinformalminibustaxidriving |