One of the prime aims of smart cities has been to optimally manage the available resources
and systems that are used in the city. With an increase in urban population that is set to grow …

Finding parking spots in urban areas poses significant challenges due to the ever increasing
complexities of the transportation endeavor, resulting in issues like traffic jams, higher fuel …

Researches on multi-objective optimization pay more attention to the convergence, diversity
and robustness of solutions which is oriented to the whole object solution set, large number …

This paper aims to eliminate the loophole that unregistered vehicles abuse to avoid fines
and park illegally by devolving an IoT-based smart parking access control system. The …

In order to solve the problem that the uncertainty of prediction information in traditional path
planning algorithm might easily cause the fluctuation of planned path, the concept of mutual …

Parking activities are one of the major problems in modern cities' transportation
management systems. It is a complex and expensive process, and its price is determined not …

The rapid increase in urban vehicular traffic has created an urgent demand for efficient
parking solutions. This paper proposes an intelligent parking system that integrates Artificial …

The topology of the available communication pathways in distributed artificial intelligence
systems such as multi-agent systems have a profound impact on the effectiveness of these …

The optimal portfolio solution in the Markowitz framework relies on a well-conditioned
covariance matrix estimator. This paper deals with the problem of large portfolio allocation …

Finding parking spaces is a time-consuming and fuel-wasting task, especially in crowded
areas. To address this issue, researchers have proposed an automatic parking detection …