The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …

Dynamic pricing plays an important role in modern Intelligent Transportation System (ITS) in
solving problems such as congestion control, peak load reduction, mobility management of …

A deep learning model is adopted for predicting block-level parking occupancy in real time.
The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial …

The development and high growth of the Internet of Things (IoT) have improved quality of life
and strengthened different areas in society. Many cities worldwide are looking forward to …

Cruising-for-parking constraints mobility in urban networks. Car-users may have to cruise for
on-street parking before reaching their destinations. The accessibility and the cost of parking …

Despite rapid advances of information technologies for intelligent parking systems, it
remains a challenge to optimally manage limited parking resources in busy urban …

Network traffic congestion is known to be partially caused by vehicles cruising for parking. In
this paper, we quantify and assess the effect of cruising-for-parking by develo** a …

Despite the increasing interest in shared parking, little attention has been devoted to its
perceptions and acceptance among drivers. To fill such a gap, this paper develops a novel …

Now-a-days, with the ever increasing number of vehicles, getting parking space at right
place and on time has become an inevitable necessity for all across the globe. In this …

Various solutions have been proposed to alleviate the shortage of parking places, including
parking reservation systems and shared-parking systems. In such systems, drivers submit …