Social distance on public transportation

Synteda in collaboration with Dr. Atilla Altintas from Chalmers University have successfully published a research journal in the field of sustainable Public transport. The idea come up under the restrictions of the Covid-19 pandemic and learning to live with new social rules such as “social distance” on public transportation. This work suggests a machine learning algorithm that forecasts the occupancy in a bus or tram the day ahead for each stop for a route using a number of variables. The paper will be available on coming conference EAI INTSYS 2021 - 5th EAI International Conference on Intelligent Transport Systems.

Written by Synteda, 2022-03-04