Essays about: "Mobility Prediction"

Showing result 1 - 5 of 30 essays containing the words Mobility Prediction.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Second Life Applications for Degraded EV Batteries : Evaluating Benefits Basedon Remaining Useful Life and Battery Configurations

    University essay from Linköpings universitet/Fordonssystem

    Author : Sandberg Elis; [2023]
    Keywords : ;

    Abstract : This thesis explores the potential of second-life electric vehicle batteries, which are no longer suitable for electro-mobility, to provide energy storage solutions. The study iden- tifies two potential applications for second-life batteries: charging stations and residential PV energy storage systems. READ MORE

  4. 3. Prediction of 5G system latency contribution for 5GC network functions

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

    Author : Ziyu Cheng; [2023]
    Keywords : Network model; End-to-end delay; 5GC; Prediction model; CPU load; Nätverksmodell; Slutanvändare; latens; 5GC; Modell för prediktering; CPU-last;

    Abstract : End-to-end delay measurement is deemed crucial for network models at all times as it acts as a pivotal metric of the model’s effectiveness, assists in delineating its performance ceiling, and stimulates further refinement and enhancement. This premise holds true for 5G Core Network (5GC) models as well. READ MORE

  5. 4. EV - charger availability prediction based on machine learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jainu Joseph; Jacob Sebastian; [2023]
    Keywords : ;

    Abstract : In response to the rapid growth of electric vehicles (EVs), our research focuses on the critical need for efficient management of charging infrastructure to facilitate the widespread adoption of EVs. Thisresearch leverages historical charging data as a foundation for predicting charging station availability. READ MORE

  6. 5. The influence of soil modeling on the prediction of vehicle dynamics and mobility – A comparison between the Finite Element Method and a Semi[1]Empirical Model

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jimmy Kjellqvist; [2023]
    Keywords : ;

    Abstract : This master's thesis investigated the influence of soil modeling on vehicle dynamics and mobility predictions with a focus on two different soil models implemented in Project Chrono: the Bekker-Wong model, and a Finite Element (FE) model. The primary objective is to provide insights for decision-making regarding the most suitable soil model under specific circumstances. READ MORE