An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate
travel time information. Knowing arrival times of public vehicles in advance can reduce …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

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 …

Accurate bus travel speed prediction can lead to improved urban mobility by enabling
passengers to reliably plan their trips in advance and traffic administrators to manage the …

Bus running times are a key element of time reliability for bus operators and passengers.
Hence, their evaluation is crucial in order to build reliable schedules for transit operations …

Providing real-time arrival time information of the transit buses has become inevitable in
urban areas to improve the efficiency of the public transportation system. However, accurate …

Public transport buses exhibit uncertainties in their arrival/travel times, due to several factors
such as signals, dwell times at bus stops, seasonal variations, fluctuating travel demands …

Fixed-route bus systems are an important part of the urban transportation mix. A
considerable disadvantage of buses is their slow speed, which is in part due to frequent …

The accuracy of arrival time information provided to passengers plays a vital role in the
success of developing mobility solutions. For better prediction accuracy, the prediction …