Sökning: "Causation analysis"

Visar resultat 1 - 5 av 52 avhandlingar innehållade orden Causation analysis.

  1. 1. DREAM: A Method for Understanding the Causation of Single-Vehicle Crashes

    Författare :Jesper Sandin; Chalmers tekniska högskola; []
    Nyckelord :driver error; accident model; contributory factors; causation; single-vehicle crashes; case study; pre-crash; accident analysis;

    Sammanfattning : When conducting in-depth causation studies, it is essential that the analysis method can both define and classify contributing factors and be able to analyse how these factors may interact to produce a critical event. These issues are highly influenced by the underlying theory, e.g. the accident model. LÄS MER

  3. 2. Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research

    Författare :Jonas Bärgman; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; safety benefit evaluation; crash causation; safety measures; automated driving; analysis; naturalistic driving data; driver behavior; counterfactual simulations;

    Sammanfattning : In the last several years, the focus of traffic safety research—especially when performed in association with the automotive industry—has shifted from preventing injury during a crash to avoiding the crash altogether or mitigating its effects. Pre-crash safety measures include intelligent safety systems (e.g. LÄS MER

  4. 3. Analyzing real-world data to promote development of active safety systems that reduce car-to-vulnerable road user accidents

    Författare :Azra Habibovic; Chalmers tekniska högskola; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Accident prevention; Naturalistic observation; Causation analysis; Active safety system; Vulnerable road user VRU ; Driver behavior; Functional requirements; Statistical analysis; VRU behavior;

    Sammanfattning : The overall objective of the thesis is to explore various types of real-world road traffic data and to assess the extent to which they can inform the design of active safety systems that aim to prevent car-to-vulnerable road user (VRU) accidents. A combined analysis of in-depth and police reported accident data provided information on driver behavior and contextual variables, which is valuable for the development of active safety systems. LÄS MER

  5. 4. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution

    Författare :Sebastian Hönel; Morgan Ericsson; Welf Löwe; Anna Wingkvist; Miroslaw Staron; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Software Size; Software Metrics; Commit Classification; Maintenance Activities; Software Quality; Process Quality; Project Management; Organizational Learning; Machine Learning; Visualization; Optimization; Software Technology; Programvaruteknik; Informations- och programvisualisering; Information and software visualization; Computer Science; Datavetenskap; Statistics Econometrics; Statistik;

    Sammanfattning : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. LÄS MER

  7. 5. Real World Data on Driver Behaviour in Accidents and Incidents: Evaluating data collection and analysis methods for car safety development

    Författare :Emma Tivesten; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mail survey questionnaire; Driver safety issues; Driver behaviour; Naturalistic driving study; Statistical analysis; Car safety development; Contributing factors; Case study; Incident causation;

    Sammanfattning : Real world data is important for safety development within the road transportation system. For car safety development in particular, methods to collect and analyse real world data on driver behaviour from normal driving, incidents and accidents are needed to address safety in driving. LÄS MER