Public Transit Bus

Research on public transit buses is focusing on improving efficiency, sustainability, and safety through technological advancements. Current efforts involve developing machine learning models to predict bus behavior and optimize routes, alongside the creation of sophisticated vision-language models for improved data processing and autonomous navigation systems for safer operation, particularly in harbor environments. These advancements aim to enhance the economic, environmental, and social value of public transit, offering a more efficient, sustainable, and reliable service for urban populations. The development of standardized data formats and open-source tools facilitates broader application of these technologies across diverse geographical contexts.