Essays about: "Traffic Management Algorithms"

Showing result 1 - 5 of 36 essays containing the words Traffic Management Algorithms.

  1. 1. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiaqi Xu; [2023]
    Keywords : Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE

  3. 2. Prediction and Analysis of 5G beyond Radio Access Network

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gaurav Singh; Shreyansh Singh; [2023]
    Keywords : - LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Abstract : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. READ MORE

  4. 3. Re-recognition of vehicles for enhanced insights on road traffic

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Aron Asefaw; [2023]
    Keywords : Re-recognition; Computer Vision; LoFTR; Keypoints; SIFT; Transformers; Machine Learning; Homogrpahy; Deep Learning; SVM;

    Abstract : This study investigates the performance of two keypoint detection algorithms, SIFTand LoFTR, for vehicle re-recognition on a 2+1 road in Täby, utilizing three differentmethods: proportion of matches, ”gates” based on the values of the features andSupport Vector Machines (SVM). Data was collected from four strategically placedcameras, with a subset of the data manually annotated and divided into training,validation, and testing sets to minimize overfitting and ensure generalization. READ MORE

  5. 4. High-Performance Beamforming for Radar Technology : A Comparative Study of GPU Beamforming Algorithms

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oscar Lindgren; [2022]
    Keywords : Accelerated signal processing software; Beamforming; Electronic warfare; Electromagnetic waves; Emitter identification; Radar technology; Accelererad signalbehandlingsmjukvara; Beamforming; Elektronisk krigsföring; Elektromagnetiska vågor; Sändaridentifikation; Radarteknologi;

    Abstract : Radar technology is widely used in today´s society, whether it is the localisation and identification of aircraft in air traffic control systems, ships in harbour management systems, or the weather forecast presented on the news. In military applications, such as in fighter jets or missile lock-on systems, the speed at which the radar processes incoming data is essential to ensure a successful outcome. READ MORE

  6. 5. Simulating ADS-B vulnerabilities by imitating aircrafts : Using an air traffic management simulator

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Axel Boström; Oliver Börjesson; [2022]
    Keywords : ADS-B; ATC; Impersonation attack; Sybil attack; Air Traffic Communication; openScope; Security; Machine learning; K nearest neighbour; Naive Bayes; Decision tree;

    Abstract : Air traffic communication is one of the most vital systems for air traffic management controllers. It is used every day to allow millions of people to travel safely and efficiently across the globe. READ MORE