Sökning: "Vehicle allocation"

Visar resultat 1 - 5 av 38 uppsatser innehållade orden Vehicle allocation.

  1. 1. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rafi Khaliqi; Cozma Iulian; [2023]
    Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

    Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

  3. 2. Inclusion of differential pricing in congestion charging scheme: The case of Stockholm and Curitiba

    Master-uppsats, KTH/Transportplanering

    Författare :Joaquin Franco; [2023]
    Nyckelord :;

    Sammanfattning : Among transport demand management (TDM) strategies, congestion pricing has been one of the most widely applied, but at the same time one of the most criticised. The reason is that this measure is considered regressive, exclusionary, and inequitable, since having a flat rate ignores people's ability to pay, i.e. LÄS MER

  4. 3. The industry adoption of innovative safety-analysis approaches for autonomous vehicles : A case study exploring the industry adoption of model-based safety analysis

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sam Khogasteh; [2023]
    Nyckelord :;

    Sammanfattning : In recent years, autonomous vehicles have been gaining traction as a technology that can revolutionize society and save approximately $800 billion per year in the U.S. alone. However, due to their complex and dynamic behavior, ensuring the safety of these vehicles has proven to be a challenge for traditional safety analysis methods. LÄS MER

  5. 4. Channel Estimation and Power Control Algorithms in the Presence of Channel Aging

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

    Författare :Yan Bixing; [2023]
    Nyckelord :Fading channel; auto-regressive model; power allocation; uncrewed aerial vehicle networks; Fading kanal; auto-regressiv modell; krafttilldelning; obemannade flygfordonsnätverk;

    Sammanfattning : Power allocation algorithms that determine how much power should be allocated to pilot and data symbols play an important role in addressing the trade-off between accurate channel estimation and high high spectral efficiency for data symbols in the presence of time-varying fading channels. Dealing with this trade-off is highly non-trivial when the channel changes or ages rapidly in time. LÄS MER

  7. 5. Control of an Over-Actuated Vehicle for Autonomous Driving and Energy Optimization : Development of a cascade controller to solve the control allocation problem in real-time on an autonomous driving vehicle

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

    Författare :Gianmarco Grandi; [2023]
    Nyckelord :LTV-MPC Linear Time-Varying Model Predictive Controller ; Trajectory following; Energy consumption; Vehicle stability; Vehicle model; Real-time performance; LTV-MPC Controllo a predizione del modello lineare tempo variabile ; Inseguimento di traiettoria; Consumo energetico; Stabilità del veicolo; Modello del veicolo; Prestazioni in tempo reale; LTV-MPC Linjär tidsvariabel modellförutsägande styrning ; spårföljning; energiförbrukning; fordonsstabilitet; fordonsmodell; prestanda i realtid;

    Sammanfattning : An Over-Actuated (OA) vehicle is a system that presents more control variables than degrees of freedom. Therefore, more than one configuration of the control input can drive the system to a desired state in the state space, and this redundancy can be exploited to fulfill other tasks or solve further problems. LÄS MER