Traffic delay is an effective index for estimating the performance of a signalized intersection.
In this study, we provide a comprehensive review of the theoretical delay estimation model …

In this paper, a new method is presented for the training of the Adaptive Neuro-Fuzzy
Inference System (ANFIS). In this work, it is ensured that the best model is created by …

Intelligent Transportation System (ITS) has become the need of the day to manage heavy
traffic problems due to the exponential growth of road transportation. This is also very much …

Accurate determination of average vehicle delays is significant for effective management of
a signalized intersection. The vehicle delays can be determined by field studies, however …

Across the world, traffic congestion is increasing with alarming rapidity. Traffic signal control
effectiveness, in coordinated networks, is often investigated in relation to the type of vehicle …

The accurate determination of vehicle delays is crucial for effective intersection
management. Because the optimization of signal duration in a signalized intersection is …

This study presents forecast of highway casualties in Turkey using nonlinear multiple
regression (NLMR) and artificial neural network (ANN) approaches. Also, the effect of …

Queue dissipation has been extensively studied about traffic signalization, work zone
operations, and ramp metering. Various methods for estimating the intersection's queue …

Pedestrian flow parameters are analysed in this study considering linear and non-linear
relationships between stream flow parameters using conventional and soft computing …

In developing countries with limited or no availability of traffic sensors, theoretical delay
models are the most commonly used tool to estimate control delay at intersections. The …