In the near future, our streets will be populated by myriads of autonomous self-driving
vehicles to serve our diverse mobility needs. This will raise the need to coordinate their …

Over the past few decades, the increasing number of vehicles and imperfect road traffic
management have been sources of congestion in cities and reasons for deteriorating health …

A robust traffic rerouting system is important in traffic management, alongside an accurate
traffic simulation model. However, missing data continues to be a problem as it will inevitably …

Spatio-temporal forecasting is an open research field whose interest is growing
exponentially. In this work we focus on creating a complex deep neural framework for spatio …

Most traffic control systems are centralized, where all the collected data can be analyzed to
make a decision. However, there are problems with computational complexity and, more …

Traffic congestion is one of the most critical issues in develo** sustainable transportation
in smart cities. As the Internet of Things evolves, connected vehicle technology has arisen as …

The rapid transition to the digitalization of firms directs companies to speed up their decision-
making processes and make technology-based decisions. The increasing environmental …

In recent years, ride-hailing services have emerged as a popular means of transportation for
the residents of urban areas. There is an inequality in the spatio-temporal distribution of …

MANET (mobile ad-hoc networks) are distributed or delegated away from a central server,
authoritative location of wireless networks that communicate without pre-existing structure …

The application of the Internet of Things (IoT), vehicles to infrastructure (V2I) communication
and intelligent roadside units (RSU) are promising paradigms to improve road traffic safety …