Intelligent transportation systems (ITS) play an important role in the quality of life of citizens
in any metropolitan city. Despite various policies and strategies incorporated to increase the …

Real-time and accurate travel time information of transit vehicles is valuable as it allows
passengers to plan their trips to minimize waiting times. The objective of this research was to …

With the rise of big data technologies, many smart transportation applications have been
rapidly developed in recent years including bus arrival time predictions. This type of …

Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up
locations in urban environments. How to predict the taxi waiting time accurately at a certain …

With the abundance of public transportation in highly urbanized areas, it is common for
passengers to make inefficient or flawed transport decisions due to a lack of information. The …

It is desirable to provide the accurate bus arrival time for bus riders' convenience and for bus
service providers' quality of services. In this paper, we compare and evaluate a realtime bus …

The human‐computer interaction has become inevitable in digital world. HCI helps humans
to incorporate technology to resolve even their day‐to‐day problems. The main objective of …

Accurate prediction of bus arrival times is a challenging problem in the public transportation
field. Previous studies have shown that to improve prediction accuracy, more heterogeneous …

Accurately predicting arrival times in public transit operations can be difficult due to the
inherent variability. We propose a deep learning tool to address this problem. The …

Providing real-time bus arrival information can help to improve the service quality of a transit
system and enhance its competitiveness among other transportation modes. Taking the city …