Intelligent traffic control at signalized intersections in urban areas is vital for mitigating
congestion and ensuring sustainable traffic operations. Poor traffic management at road …

With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …

This paper presents a new model and solution for the multi-objective Vehicle Routing
Problem with Soft Time Windows (VRPSTW) using a hybrid metaheuristic technique. The …

Penetrability is a dominant factor in selecting the suitable drilling method, adjustment of
machine parameters and tool wear analysis. In this paper, it is aimed to classify the rock …

Abstract This study proposes Reinforcement Learning (RL) based algorithm for finding
optimum signal timings in Coordinated Signalized Networks (CSN) for fixed set of link flows …

Traffic flow is considered as a stochastic process in road traffic modeling. Computer
simulation is a widely used tool to represent traffic system in engineering applications. The …

The imbalance between modes of transport in our country appears as the most important
problem. Therefore, in air transportation, which has a significant increasing trend, estimating …

In this study, Bezier search differential evolution (BeSD) and black widow optimization
(BWO) algorithms-based estimation models in different forms have been developed to …

In this paper, a novel centralized traffic network model is proposed to describe the urban
traffic light scheduling problem (UTLSP) in a traffic network. The objective is to minimize the …

Delay is a significant research topic since it includes indicators such as travel quality, lost
time and fuel consumption. Furthermore, the delay is used for optimization of traffic control …