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Visar resultat 1 - 5 av 49 uppsatser som matchar ovanstående sökkriterier.

  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

  2. 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

  3. 3. Peer-to-peer misbehaviour reporting using non-interactive zero-knowledge proofs in ETSI ITS-G5

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Lukas Nee; [2023]
    Nyckelord :;

    Sammanfattning : In the future of intelligent transport systems, vehicles will communicate with other vehicles and infrastructure. Through this communication, vehicles can cooperate in traffic situations such as intersections and highway merging. This communication can also facilitate sharing of information about other vehicles. LÄS MER

  4. 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

  5. 5. Peer-to-peer misbehaviour reporting using non-interactive zero-knowledge proofs in ETSI ITS-G5

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Lukas Nee; [2022]
    Nyckelord :;

    Sammanfattning : In the future of intelligent transport systems, vehicles will communicate with other vehicles and infrastructure. Through this communication, vehicles can cooperate in traffic situations such as intersections and highway merging. This communication can also facilitate sharing of information about other vehicles. LÄS MER