Search for dissertations about: "Engineering Psychology."
Showing result 1 - 5 of 152 swedish dissertations containing the words Engineering Psychology..
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1. Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research
Abstract : 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. READ MORE
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2. Older car drivers - Needs of vehicle support for safe individual mobility
Abstract : As the demographic is changing with the growth of the population of older citizens, concerns have been raised for this group in terms of mobility as well as traffic safety. In this context the automobile is an important means of transport. READ MORE
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3. Drivers overtaking cyclists and pedestrians: Modeling road-user behavior for traffic safety
Abstract : In a world aiming to shift to more sustainable modes of transportation, vulnerable road users (VRUs) like cyclists and pedestrians are still confronted with significant barriers to safety, particularly on rural roads where overtaking maneuvers represent a frequent and dangerous interaction with motorized traffic. If drivers misjudge their kinematics, even near-crashes without physical contact can harm the perceived safety of the VRU, which may decrease the willingness to continue cycling or walking on these roads. READ MORE
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4. Motion Perception and Tire Models for Winter Conditions in Driving Simulators
Abstract : Many traffic accidents happen due to winter conditions, like slippery roads and limited visibility. The road administrators put a lot of effort into snow removal and deicing the roads. The vehicle manufacturers have been working with functionality to support drivers in winter conditions (studded tires, ABS, ESC, etc.) for decades. READ MORE
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5. Computational driver behavior models for vehicle safety applications
Abstract : The aim of this thesis is to investigate how human driving behaviors can be formally described in mathematical models intended for online personalization of advanced driver assistance systems (ADAS) or offline virtual safety evaluations. Both longitudinal (braking) and lateral (steering) behaviors in routine driving and emergencies are addressed. READ MORE