… We consider a connected corridor where information from vehicle detectors (located at
the intersection) will be shared to consecutive intersections. We assume that the …

… to estimate queue length has become an important research topic. This study focuses on
real-time queue length estimation … method is proposed to estimate the queue length in real time …

… A neural network algorithm for queue length estimation based on the concept of kleader
connected vehiclesJournal of Modern Transportation , Volume 27, Issue 4, pp 341–35. [12] …

… , the trigonometric regression function, artificial neural network, and support vector machine
… calculations of several probabilities related to the queue length. The posterior probability of …

… neural network model was proposed by Tong and Hung [22] to estimate queue length at an
… on the using ANN model under homogeneous traffic conditions with the connected vehicle …

… Artificial Neural Network models to estimate traffic in mobile communication network in Lagos…
The chain rule of differentiation results to related computational rules for backward pass as …

… Neural Network (NN) algorithms to predict and update the traffic situation under mixed
non-connected and connected … and unlike the similar queue length estimation methods, it does …

… to SVM and Back Propagation Neural Network. Emami et al. [23] employed a neural
network-based approach to estimate queue length of connected vehicle, considering different …

… Sarvi and Saeed Asadi Bangalore, “A neural network algorithm for queue length
estimation based on the concept of k-leader connected vehicles”, J. Mod. Transport., vol. …

… depending on the environment. Vehicle densities on the intersection and the roads connected
… In the algorithm of determining the vehicle queue length forming at the intersection, the …