The proper planning of rest periods in response to the availability of parking spaces at rest
areas is an important issue for haulage companies as well as traffic and road …

In the Intelligent Transportation System (ITS) realm, queue length estimation is one of an
essential yet a challenging task. Queue lengths are important for determining traffic density …

Deep Learning is a popular Machine Learning algorithm that is widely used in many areas
in current daily life. Its robust performance and ready-to-use frameworks and architectures …

There is a shred of ample evidence that optimization is an enormous field that pervades
essentially every aspect of our day-to-day life ranging from academic and engineering fields …

Real-world traffic flow parameters are fundamental for devising smart mobility solutions.
Though numerous solutions (intrusive and non-intrusive sensors) have been proposed …

Global urbanization and increasing traffic volume have intensified traffic congestion
throughout transportation infrastructure, particularly at toll plazas, highlighting the critical …

A research implementation of enterprise resource planning (ERP) systems by medium and
large industries is one of the alternatives available to consolidate their competitive position …

Computer vision is one of the prime domains that enable to derive meaningful and crisp
information from digital media, such as images, videos, and other visual inputs. Background …

This paper explores the feasibility of using a low-cost embedded system for real-time vehicle
detection and counting through the use of deep neural networks. It compares the …

This research aims to initiate an automatization process in the method of classifying vehicle
types in the Jasa Marga transaction service system, which is the largest toll road operator …