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Visar resultat 1 - 5 av 68 avhandlingar som matchar ovanstående sökkriterier.

1. 1. 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

3. 2. Understanding and prioritizing crash contributing factors

   Författare :Emma Tivesten; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; car safety development; incidents; accident; insurance; mail survey; narrative; driving exposure; nonresponse; Naturalistic driving; crash;

   Sammanfattning : Real world data on driver behavior in normal driving and critical situations are essential for car safety development. Data collection and analysis methods that provide insight into the prevalence of crash contributing factors (e.g. LÄS MER

4. 3. On the analysis of naturalistic driving data

   Författare :Jonas Bärgman; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : In the last several years, the focus of traffic safety research has shifted from injury prevention during a crash to measures taken before a crash, in order to mitigate its effects or avoid it completely. Measures include advanced driver assistance systems, safety aspects of autonomous driving and infrastructure design, behavior-based safety (driver training), and policy-making. LÄS MER

5. 4. Drivers’ response to attentional demand in automated driving

   Författare :Alberto Morando; Chalmers tekniska högskola; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; vehicle automation; naturalistic data; human factors.; driving simulator data; visual behavior; response process; Attention;

   Sammanfattning : Vehicle automation can make driving safer; it can compensate for human impairments that are recognized as the leading cause of crashes. Vehicle automation has become a central topic in transportation and human factors research. LÄS MER

7. 5. 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