Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

Intelligent Transportation System (ITS) is vital in improving traffic congestion, reducing traffic
accidents, optimizing urban planning, etc. However, due to the complexity of the traffic …

Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …

This paper proposes a deep architecture called residual spatio-temporal network (RSTN) for
short-term travel demand forecasting. It comprises fully convolutional neural networks …

An important factor that discourages patrons from using bus systems is the long and
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …

With the recent advances in deep learning, data-driven methods have shown compelling
performance in various application domains enabling the Smart Cities paradigm …

Bus arrival prediction has important implications for public travel, urban dispatch, and
mitigation of traffic congestion. The factors affecting urban traffic conditions are complex and …

In the public transportation domain, accurate estimation of travel times helps to manage rider
expectations as well as to provide a powerful tool for transportation agencies to coordinate …

Travel time data is an important factor for evaluating the performance of a public transport
system. In terms of time and space within the nature of uncertainty, bus travel time is …

This paper presents an investigation into the performance of support vector machine (SVM)
in short-term travel-time prediction in comparison with baseline methods, including the …