Nowadays, with the advancement of technology, world is trending toward high mobility and
dynamics. In this context, intersection management (IM) as one of the most crucial elements …

The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …

With the technological drive for realizing smart cities, work on Autonomous Intersection
Management (AIM) protocols opts to replace the traditional traffic light system by using …

Cooperation between intersections in large-scale road networks is critical in traffic
congestion. Currently, most traffic signals cooperate via pre-defined timing phases, which is …

Usually, vehicles' stop-and-go driving will consume more fuel and emit more CO_2 than
constant speed driving. To reduce vehicles' CO_2 emissions, vehicles' travel should be …

Traffic congestion is not only a cause of nuisance for general commuters but also a factor
that has a measurable impact on the economy if not handled proactively. When congestion …

Multi-Agent Reinforcement Learning (MARL) has shown strong advantages in urban multi-
intersection traffic signal control, but it also suffers from the problems of non-smooth …

There are several situations where the type of a street intersections can become very
important, especially in the case of navigation studies. The types of intersections affect the …

Road congestion is considered as the bottleneck in Intelligent Transportation System (ITS). It
has serious impact on human security, the environment and the economy. Thus, congestion …

Autonomous vehicle (AV) technology is rapidly advancing, leading to a sustainable
evolution in transportation. AVs offer the promise of enhanced safety, reduced emissions …