1 citations · 1 across the 3 of their papers we have counts for
6 papers
Truck Axle Detection with Convolutional Neural Networks
Leandro Arab Marcomini, André Luiz Cunha
Axle count in trucks is important to the classification of vehicles and to the operation of road systems. It is used in the determination of service fees and in the impact on the p…
Historical traffic flow data reconstrucion applying Wavelet Transform
E. R. Ribeiro, A. L. Cunha
Despite the importance of fundamental parameters (traffic flow, density and speed) to describe the traffic behavior, there still are some difficulties in order to obtain and store…
Measuring urban road network resilience to extreme events: an application for urban floods
André Borgato Morelli, André Luiz Cunha
Designing and maintaining resilient transportation systems rely on identifying potential vulnerabilities and inefficiencies before crises occur. However, given the complexity of tr…
A calibration method structured on Bayesian Inference of the HCM speed-flow relationship for freeways and multilane highways and a temporal analysis of traffic behavior
Gabriel Martins de Oliveira, Andre Luiz Cunha
This paper presents a calibration method for the speed-flow model of the HCM 2016 for freeways and multilane highways allied to temporal analysis of traffic stream. The proposed me…
Classification of Motorcycles using Extracted Images of Traffic Monitoring Videos
Adriano Belletti Felicio, André Luiz Cunha
Due to the great growth of motorcycles in the urban fleet and the growth of the study on its behavior and of how this vehicle affects the flow of traffic becomes necessary the deve…
A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos
L. A. Marcomini, A. L. Cunha
The objective of this paper is to compare the performance of three background-modeling algorithms in segmenting and detecting vehicles in highway traffic videos. All algorithms are…