Sökning: "naturalistic driving data"
Visar resultat 1 - 5 av 20 avhandlingar innehållade orden naturalistic driving 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. 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
4. 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
5. Visual response to attentional demand in increasing levels of automation: A situated approach
Sammanfattning : Introduction: Adaptive cruise control (ACC) is a system that automates the longitudinal control of the vehicle, and maintains safety margins to a lead vehicle. ACC has been shown to have positive safety effects in reducing the exposure to critical situations. LÄS MER