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Showing 1 to 9 of 9 for “"Driving Pattern"”.

  1. Development of a vehicle robotic driver with intelligent control system modelling for automated standard driving-cycle tests

    … These tests are often carried out over specific driving-cycles. To carry out lab-based driving-cycle tests, a typical vehicle manufacturer will employ a trained driver to follow driving profiles on a chassis dynamometer. This project involves development of a robotic driver controller for the …

    uthm Repository record for Development of a vehicle robotic driver with intelligent control system modelling for automated standard driving-cycle tests (opens in a new tab)

  2. Mechanical design of an automated vehicle driving system for drive cycle testing

    … to susceptible human error, the inconsistency in driving pattern and also the need of training for the driver to run the drive cycle test. There are two objective for this project, which is to design a mechanism that can be used to control a passenger vehicle according to standard drive cycles and …

    uthm Repository record for Mechanical design of an automated vehicle driving system for drive cycle testing (opens in a new tab)

  3. Modeling and comparison of transient emissions behavior of hybrid and conventional vehicles

    … severe changes in the engine power the vehicle-driving pattern requires. Additional transients occur by a gas-electric hybrid's vehicle constant state of change; turning the engine on and off when necessary. Thus, it is imperative when modeling hybrid vehicle emissions to use a "transient" …

    mit Repository record for Modeling and comparison of transient emissions behavior of hybrid and conventional vehicles (opens in a new tab)

  4. Modeling Human And Machine-In-The-Loop In Car-Following Theory

    … the heterogeneity of human behavior, in terms of driving patterns and styles, is captured. To achieve its contributions, the study starts by modifying the maximum acceleration vehicle-dynamics model by explicitly incorporating parameters that aim to model driver behavior in its expression making …

    vt Repository record for Modeling Human And Machine-In-The-Loop In Car-Following Theory (opens in a new tab)

  5. Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection

    … such as studying physiological signal processing patterns. These potentially life-saving systems must operate in a timely manner with the highest precision. Researchers proposed various methods based on driving pattern changes, driver body position, and physiological signal processing patterns. …

    claremont Repository record for Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection (opens in a new tab)

  6. Modeling, Simulation, and Analysis of Lithium-Ion Batteries for Grid-Scale Applications

    … lithium-ion batteries require consistent cycling patterns that are predictable and easy to approximate across all uses, but new large scale applications will have much more dynamic demands. The cycling patterns for electric vehicles will vary based on each individuals driving patterns and …

    wustl Repository record for Modeling, Simulation, and Analysis of Lithium-Ion Batteries for Grid-Scale Applications (opens in a new tab)

  7. Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction

    … a novel Divergent Window Co-occurrence (DWC) Pattern Detection algorithm is observed to be an effective method to predict NOx emissions and analyze driving patterns from the OBD data where prediction errors are high. The proposed framework is validated for generalizability with a separate …

    umn Repository record for Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction (opens in a new tab)

  8. Microbubble streaming flows for non-invasive particle manipulation and liquid mixing

    … microfluidic devices. Under periodic acoustical driving, microbubbles with radius 20 -- 100µm absorbed or attached to a solid wall initiate steady streaming flows around the bubbles. These flows are driven by the Reynolds stresses in the boundary layer, a consequence of the nonlinearity of the …

    uiuc Repository record for Microbubble streaming flows for non-invasive particle manipulation and liquid mixing (opens in a new tab)