Sökning: "optimal trigger speed"

Hittade 3 avhandlingar innehållade orden optimal trigger speed.

  1. 1. The Optimal trigger speed of vehicle activated signs

    Författare :Diala Jomaa; Högskolan Dalarna; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; optimal trigger speed; vehicle activated sign; vehicle mean speed; standard deviation; calibration; Doppler radar; driver behaviour; data analysis; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys; Mikrodataanalys; Microdata Analysis;

    Sammanfattning : The thesis aims to elaborate on the optimum trigger speed for Vehicle Activated Signs (VAS) and to study the effectiveness of VAS trigger speed on drivers’ behaviour. Vehicle activated signs (VAS) are speed warning signs that are activated by individual vehicle when the driver exceeds a speed threshold. LÄS MER

  2. 2. A data driven approach for automating vehicle activated signs

    Författare :Diala Jomaa; Mark Dougherty; Siril Yella; Högskolan Dalarna; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Optimal trigger speed; vehicle activated sign; mean speed; standard deviation; calibration; driver behaviour; data driven approach; automatic model; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys; Mikrodataanalys; Microdata Analysis;

    Sammanfattning : Vehicle activated signs (VAS) display a warning message when drivers exceed a particular threshold. VAS are often installed on local roads to display a warning message depending on the speed of the approaching vehicles. VAS are usually powered by electricity; however, battery and solar powered VAS are also commonplace. LÄS MER

  3. 3. Distributed Estimation of Network Cardinalities

    Författare :Riccardo Lucchese; Luleå tekniska universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reglerteknik; Control Engineering;

    Sammanfattning : In distributed applications knowing the topological properties of the underlying communication network may lead to better performing algorithms. For instance, in distributed regression frameworks, knowing the number of active sensors allows to correctly weight prior information against evidence in the data. LÄS MER