Publicação
Integration of travel context information into multimodal platforms
| Resumo: | Abstract Public transportation offers accessible, affordable, and environmentally friendly mobility solutions for millions of people worldwide. It contributes to a reduction of traffic congestion and carbon emissions and ensures equitable access to essential services. Reliable and efficient public transportation services are necessary to accomplish these goals. Therefore, public transportation operators need to make informed decisions regarding their services. Data such as passenger flow data can help identify peak travel times, underutilised routes, and emerging demand areas, enabling service adjustments to better cater to passengers’ needs. While smart ticketing systems are useful for understanding passenger patterns, they do not provide detailed information on the number of passengers who have left the vehicle. This information can be helpful in managing passenger transfers between two different modes of transportation or routes, which is crucial to maintaining seamless connectivity and minimising travel times. To address this, we propose a system that collects entry and exit data from bus passengers through automatic passenger counter sensors. This data is later presented visually in a userfriendly dashboard to aid public transportation operators in improving their services. The results were promising, with the system performing as expected during field tests. The selected sensors achieved an accuracy of 93.75% for exit counts and 96.3% for entries. Although further calibration is needed to optimise accuracy, the system still proves to be a valuable tool for improving public transportation efficiency and addressing passengers’ needs. |
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| Autores principais: | Diogo, Pedro Miguel Nobre |
| Assunto: | Public transportation Multimodal platforms Automatic passenger counting System architecture Transporte publico Plataformas multimodais Contagem automática de passageiros Arquitetura de sistemas |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Científico do Instituto Politécnico de Lisboa |
| Resumo: | Abstract Public transportation offers accessible, affordable, and environmentally friendly mobility solutions for millions of people worldwide. It contributes to a reduction of traffic congestion and carbon emissions and ensures equitable access to essential services. Reliable and efficient public transportation services are necessary to accomplish these goals. Therefore, public transportation operators need to make informed decisions regarding their services. Data such as passenger flow data can help identify peak travel times, underutilised routes, and emerging demand areas, enabling service adjustments to better cater to passengers’ needs. While smart ticketing systems are useful for understanding passenger patterns, they do not provide detailed information on the number of passengers who have left the vehicle. This information can be helpful in managing passenger transfers between two different modes of transportation or routes, which is crucial to maintaining seamless connectivity and minimising travel times. To address this, we propose a system that collects entry and exit data from bus passengers through automatic passenger counter sensors. This data is later presented visually in a userfriendly dashboard to aid public transportation operators in improving their services. The results were promising, with the system performing as expected during field tests. The selected sensors achieved an accuracy of 93.75% for exit counts and 96.3% for entries. Although further calibration is needed to optimise accuracy, the system still proves to be a valuable tool for improving public transportation efficiency and addressing passengers’ needs. |
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