Sökning: "naturalistic data"
Visar resultat 1 - 5 av 68 avhandlingar innehållade orden naturalistic data.
1. Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research
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
2. Understanding and prioritizing crash contributing factors
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
3. On the analysis of naturalistic driving data
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
4. Drivers’ response to attentional demand in automated driving
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
5. Analyzing real-world data to promote development of active safety systems that reduce car-to-vulnerable road user accidents
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