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 ...

Transit authorities have been searching for the indicators to measure transit service quality and the key factors to attract citizens who do not prefer public transport. The recent advent of data collection technologies ...

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 ...

In order to improve the performance of a public transport system, it is important to know alighting counts as well as boarding counts at bus stops. While boarding is almost always available through a fare collection system, ...

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 ...