In recent years, smart cities have been significantly developed and have greatly expanded
their potential. In fact, novel advancements to the Internet of things (IoT) have paved the way …

The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

As a representative of shared mobility, bike sharing has become a green and convenient
way to travel in cities in recent years. Bike usage prediction becomes more important for …

In this paper the performance of different Machine Learning and Deep Learning approaches
is evaluated in problems related to green mobility in big cities. Specifically, the forecasting of …

Bike-sharing services provide easy access to environmentally-friendly mobility reducing
congestion in urban areas. Increasing demand requires highly service planning methods …

Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

Shared Mobility Systems (SMS) facilitate on-demand journeys using one or more
transportation modes such as car-sharing, bike-sharing, or ride-sharing. As a result, SMS …

Bike-sharing is a powerful solution to urban challenges (eg, expanding bike communities,
lowering transportation costs, alleviating traffic congestion, reducing emissions, and …

Transport-sharing systems are eco-friendly and the most promising services in smart urban
environments, where the booming Internet of things (IoT) technologies play an important role …

Bike-sharing systems (BSS) have emerged as an increasingly important form of
transportation in smart cities, playing a pivotal role in the evolving landscape of urban …