What is it about?
The article discusses a new, advanced technique to predict bus travel times in Sofia. It uses a method that takes into account everyday factors like traffic and weather, aiming to make bus rides more reliable and efficient. This is part of a larger effort to improve public transport in the city, making it a better choice for people and helping to reduce traffic congestion and pollution. This approach is especially helpful for the new on-demand buses that don't follow a fixed schedule an fixed route.
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Why is it important?
This article highlights a key step towards a healthier Sofia by improving public transport efficiency. The new on-demand bus scheduling method it introduces reduces traffic and cuts down harmful emissions, leading to cleaner, fresher air. By making buses more dependable, it encourages people to leave their cars at home, further aiding in reducing air pollution and making Sofia a more pleasant, eco-friendly place to live.
Perspectives
Personally, I am deeply committed to using the most rigorous scientific methods to serve the public interest. My focus is on applying these sophisticated techniques, like the SARIMAX model with Fourier terms, not just for academic exploration, but to create real-world improvements in public transportation. In this particular case the approach aligns with my belief in the power of data and analytics to enhance urban living, reduce environmental impact, and ultimately, contribute positively to the community.
Angel Marchev
University of National and World Economy
Read the Original
This page is a summary of: SARIMAX with Fourier terms for predicting travel times for on-demand public transport in Sofia, January 2023, American Institute of Physics,
DOI: 10.1063/5.0179199.
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