Sökning: "Intelligent Transportation Systems"

Visar resultat 1 - 5 av 42 uppsatser innehållade orden Intelligent Transportation Systems.

  1. 1. Impact of C-ITS on Mobility and Society

    Master-uppsats, KTH/Transportplanering

    Författare :Ninnie Tägtström; [2023]
    Nyckelord :C-ITS; ITS; Mobility; Digitization; Automation; Transportation System; Traffic Signals; Vensim;

    Sammanfattning : This thesis investigates the important potential of Cooperative Intelligent Transport Systems (C-ITS) onmobility and society. C-ITS appears as a promising solution to reinvent transportation and become avital part of the ever-evolving environment as developments in technology continue to change the world. LÄS MER

  3. 2. Decentralized approach for IVI : Infrastructure-vehicle-information

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :Abdallah Saleh; [2023]
    Nyckelord :V2I; V2X; IVI; ITS; Vision Zero; Infrastructure-vehicle-information; Intelligent Transport Systems; traffic safety; CCAM; ADAS;

    Sammanfattning : With the growing number of vehicles on the road, improving traffic safety and efficiency has become a major challenge. One of the promising solutions is the implementation of Intelligent Transportation Systems (ITS), which utilizes communication technologies to facilitate real-time information sharing between vehicles and infrastructure. LÄS MER

  4. 3. Real Time Vehicle Detection for Intelligent Transportation Systems

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elda Shurdhaj; Ulehla Christián; [2023]
    Nyckelord :Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

    Sammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER

  5. 4. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
    Nyckelord :Graph Neural Network;

    Sammanfattning : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. LÄS MER

  7. 5. Attribute-Based Encryption with dynamic attribute feature applied in Vehicular Ad Hoc Networks

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

    Författare :Zijian Huang; [2022]
    Nyckelord :Ciphertext-Policy Attribute-based encryption; Dynamic Attributes; Network Security; Vehicular Ad Hoc Networks; Ciphertext-Policy Attributbaserad kryptering; dynamiska attribut; nätverkssäkerhet; fordonsbaserade ad hoc-nätverk;

    Sammanfattning : The Vehicular Ad Hoc Network (VANET) is a promising approach for future Intelligent Transportation Systems (ITS) implementation. The data transmission is wireless primarily in the VANET system. The secure data transmission in VANET attracts research attention without any doubt. LÄS MER