Essays about: "traffic pattern recognition"

Showing result 1 - 5 of 6 essays containing the words traffic pattern recognition.

  1. 1. Online Prediction of Network-Level Public Transport Demand : Case Study in Stockholm

    University essay from KTH/Transportplanering

    Author : Cheng Zhong; [2022]
    Keywords : ;

    Abstract : Public transport, a vital part of transportation systems, plays an essential role in our society to reduce many social issues. however, the issue of mismatching in operation and management in public transport causes passenger dissatisfaction and waste of energy. READ MORE

  3. 2. Daily pattern recognition of dynamic origin-destination matrices using clustering and kernel principal component analysis

    University essay from KTH/Transportplanering

    Author : Zhiwu Dong; [2021]
    Keywords : origin-destination; pattern recognition; principal component analysis; kernel principal component analysis; k-means cluster; ursprung-destination; mönsterigenkänning; huvudkomponentanalys; analys av kärnhuvudkomponent; k-medelkluster;

    Abstract : Origin-Destination (OD) matrix plays an important role in traffic management and urban planning. However, the OD estimation demands large data collection which has been done in past mostly by surveys with numerous limitations. READ MORE

  4. 3. Public transport origin-destination matrices: pattern recognition and short-term prediction

    University essay from KTH/Numerisk analys, NA

    Author : Francesco Ferranti; [2020]
    Keywords : Statistics; machine learning; clustering; regression; OD matrices; Statistics; machine learning; clustering; regression; OD matrices;

    Abstract : Origin-Destination (OD) matrices are an essential tool in transport planning and management to model user travel patterns. An OD matrix is a picture of the public transport passengers demand in a specific temporal window The use of the metropolitan transportation system as an alternative to private cars enables a decrease of CO2 emissions, air pollution and traffic noise. READ MORE

  5. 4. Application of the German Traffic Sign Recognition Benchmark on the VGG16 network using transfer learning and bottleneck features in Keras

    University essay from Uppsala universitet/Datalogi; Uppsala universitet/Institutionen för teknikvetenskaper

    Author : Siri Persson; [2018]
    Keywords : deep learning; image classification; Keras; neural network; transfer learning;

    Abstract : Convolutional Neural Networks (CNNs) are successful tools in image classification. CNNs are inspired by the animal visual cortex using a similar connectivity pattern as between neurons. READ MORE

  6. 5. MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

    University essay from Datateknik

    Author : Mihira Manne; [2009]
    Keywords : Artificial intelligence; Non-destructive testing; Rail inspection; Rail transportation; Unsupervised learning; Data fusion;

    Abstract : The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection. READ MORE