The increasing population across the globe makes it essential to link smart and sustainable
city planning with the logistics of transporting people and goods, which will significantly …

Parking allocation has become a major problem in modern cities for which numerous smart
parking systems (SPS) have been developed. This paper aims to provide comprehensive …

The smart factory leads to a strong digitalization of industrial processes and continuous
communication between the systems integrated into the production, storage, and supply …

In this paper we describe cooperation and social dilemmas in multiagent systems, with an
analogy applied to road traffic. Cooperative human drivers, based on their perception of trust …

Collective intelligence (CI) refers to the intelligence that emerges at the macro-level of a
collection and transcends that of the individuals. CI is a continuously popular research topic …

The main purpose of this article is to identify and classify smart and sustainable urban
mobility solutions in the context of three narratives for sustainable mobility: electromobility …

Actual urban road networks are characterized by a high level of dynamism, uncertainty, and
more frequent situations of traffic congestion/jams which can lead to more complex traffic …

In multiagent systems, conventional methods for addressing consensus problems typically
rely on utilizing local and smooth control inputs; however, the focus of these methods is often …

Traffic congestion is a significant problem in many cities, leading to delays, increased fuel
consumption, and environmental pollution. In recent years, optimization algorithms have …

Traffic congestion is a problem in most large cities world wide. It occurs when the capacity of
road is surpassed, resulting in augmented vehicular queuing and slower average speeds …