Sökning: "Traffic State Estimation"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Traffic State Estimation.

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  3. 2. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jinchen Liu; [2023]
    Nyckelord :Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Sammanfattning : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. LÄS MER

  4. 3. Video-Based Estimation of Driver Sleepiness Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Simon Knutsson; [2022]
    Nyckelord :Driver sleepiness; drowsiness; classification; estimation; machine learning;

    Sammanfattning : Approximately 1.35 million people die each year in car accidents and it is the most common cause of death for people aged 5-29. Because of this it is of large interest to be able to detect when a driver enters a sleepy state and to be able to alert the driver. LÄS MER

  5. 4. A Data Plane native PPV PIE Active Queue Mangement Scheme using P4 on a Programmable Switching ASIC

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Love Dahlberg; [2021]
    Nyckelord :AQM; PIE; PPV; P4; Tofino;

    Sammanfattning : New internet services require low and stable latency, which is difficult to provide with traditional routers and queuing mechanisms. Current routers aim to provide high throughput using large buffers causing considerable network latency under load. LÄS MER

  7. 5. Traffic State Estimation for Signalized Intersections : A Combined Gaussian Process Bayesian Filter Approach

    Master-uppsats, KTH/Transportplanering

    Författare :Michael Sederlin; [2020]
    Nyckelord :Traffic State Estimation; Traffic Flow modelling; Gaussian Processes; Bayesian Filtering; Kalman Filter; Traffic Signals; Intersection; Non-parametric;

    Sammanfattning : Traffic State Estimation (TSE) is a vital component in traffic control which requires an accurate viewof the current traffic situation. Since there is no full sensor coverage and the collected measurementsare inflicted with random noise, statistical estimation techniques are necessary to accomplish this. LÄS MER