Sökning: "Driver"

Visar resultat 31 - 35 av 842 avhandlingar innehållade ordet Driver.

1. 31. Driver Modeling based on computational intelligence approaches : exploaration and Modeling driver-following data collected by an instrumented vehicle

   Författare :Xiaoliang Ma; Karl-Lennart Bång; Mark Dougherty; KTH; []
   Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

   Sammanfattning : This thesis is concerned with modeling of driver behavior based on data collected from real traffic using an advanced instrumented vehicle. In particular, the focus is on driver-following behavior (often called car-following in transport science) for microscopic simulation of road traffic systems. LÄS MER

3. 32. Increasing Energy Efficiency in Electric Trains Operation : Driver Advisory Systems and Energy Storage

   Författare :Nima Ghaviha; Erik Dahlquist; Markus Bohlin; Fredrik Wallin; Rob M.P. Goverde; Mälardalens högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Driver Advisory System; Catenary-free Operation; Electric Train; Electric Multiple Unit; Battery; Energy Efficiency; Energy Storage; Speed Profile Optimization; Energy- and Environmental Engineering; energi- och miljöteknik;

   Sammanfattning : Electric traction is the most efficient traction system in the railway transportation. However, due to the expensive infrastructure and high power demand from the grid, the share of electric trains in the railway transportation is still lower than other trains. LÄS MER

4. 33. Driver modeling: Data collection, model analysis, and optimization

   Författare :Ola Benderius; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; driving simulator; driver modeling; stochastic optimization; simulation software; genetic algorithm;

   Sammanfattning : This thesis concerns aspects of driver modeling, with an emphasis on critical near-crash scenarios, involving time spans of around 10 s of driving. Here,driver modeling has been studied using both computer simulations and experiments carried out in a high-fidelity driving simulator. LÄS MER

5. 34. 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

7. 35. Advancing Deep Learning-based Driver Intention Recognition : Towards a safe integration framework of high-risk AI systems

   Författare :Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Christian Berger; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deep learning; uncertainty estimation; driver intention recognition; INF302 Autonomous Intelligent Systems; INF302 Autonoma intelligenta system; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   Sammanfattning : Progress in artificial intelligence (AI), onboard computation capabilities, and the integration of advanced sensors in cars have facilitated the development of Advanced Driver Assistance Systems (ADAS). These systems aim to continuously minimize human driving errors. LÄS MER