Now showing items 1-4 of 4
Boarding pattern classification with time series clustering
(The International Conference on Artificial Intelligence and Applied Mathematics in Engineering, 2023)
Clustering on smart card data may provide direct information about passenger travel patterns. Services could be adjusted according to demands that change over time to optimize the public transport system. This study ...
Optimizing bus lines using genetic algorithm for public transportation
(The 6th International Conference on Smart City Applications, 2021)
Due to increasing human population, the need for quality public transportation has also increased. This study takes stop density, stop layout, and passenger population of those stops into consideration to offer a better ...
Determination of peak times in public transportation
(Innovations in Intelligent Systems and Applications Conference (ASYU), 2021)
Big data and advances in data mining promise to overcome major challenges in public transportation that result in improvements in network efficiency and rider satisfaction. In this study, we develop methods i) to determine ...
Shift scheduling optimization: a real-life underground transportation example
(European Journal of Science and Technology, 2022)
Personnel scheduling is basically a type of scheduling that determines which employee will work and when, taking into account the needs of the industry and employees. Personnel scheduling is intertwined with shift scheduling ...