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You searched for subject:(models of driving). Showing records 1 – 3 of 3 total matches.

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Queensland University of Technology

1. Mallon, Kerry Louise. The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury.

Degree: 2006, Queensland University of Technology

Previous research has shown that cognitive deficits arising from neurological impairment can impact on driving performance. The diverse nature of cognitive, perceptual and behavioural impairments experienced by drivers with neurological impairment and the resulting impact on driving ability has been the subject of extensive research involving the use of psychometric off-road measures, road safety statistics, actual on-road driving assessments and self-report. This research has shown that some drivers can compensate for limitations in their driving skills but this is dependent upon realistic self-appraisal of driving abilities. Few studies have investigated the role of self-awareness of driving abilities on on-road driving performance in persons with neurological impairment. Aims: To investigate the relationship between self-awareness of driving related abilities in neurologically impaired drivers and on-road driving performance. Participants: Retrospective data were collated on 79 participants who were referred for Occupational Therapy driving assessment, comprising 24 with Closed Head Injury (CHI) (mean age 24.67 + 5.57 yrs), 30 with Cerebrovascular Accident (CVA) (mean age 61.00 + 9.08 yrs) and 25 with 'Other' diagnosis (mean age 50.64 + 21.14 yrs). All participants held a current driver's licence or learner's permit Results: Five predictor variables were significantly associated with the on-road driving assessment outcome including three demographic variables:- diagnosis (2(2)= 7.69, p = 0.021), time since injury/illness onset (2(2)= 6.40, p = 0.041), and mileage (2(2)= 5.84, p = 0.05); and two self-awareness variables:- reaction time (2(2)= 8.04, p = 0.018), and impulse control (2(2)= 13.47, p = 0.001). Logistic regression yielded a final best model containing two predictor variables (2(4) = 20.81, p = 0.000), including diagnosis (p = 0.02) and self-awareness of impulse control (p = 0.01). Discussion and Conclusion: Participants who over-estimated their driving abilities were more likely to fail a driving assessment or require driving rehabilitation than participants who under-estimated or accurately predicted their performance and participants with a diagnosis of CVA were more likely to fail or require driving rehabilitation than those with a CHI or 'Other' diagnosis.

Subjects/Keywords: neurological impairment; acquired brain injury; cerebrovascular accident; traumatic head injury; older driver; insight; self-awareness; cognition; rehabilitation; models of driving; driving assessment; driving simulator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mallon, K. L. (2006). The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16176/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mallon, Kerry Louise. “The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury.” 2006. Thesis, Queensland University of Technology. Accessed December 06, 2019. https://eprints.qut.edu.au/16176/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mallon, Kerry Louise. “The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury.” 2006. Web. 06 Dec 2019.

Vancouver:

Mallon KL. The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury. [Internet] [Thesis]. Queensland University of Technology; 2006. [cited 2019 Dec 06]. Available from: https://eprints.qut.edu.au/16176/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mallon KL. The influence of self-awareness of driving ability on on-road performance of persons with acquired brain injury. [Thesis]. Queensland University of Technology; 2006. Available from: https://eprints.qut.edu.au/16176/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

2. Pidborochynski, Tara L A. An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services.

Degree: MS, Department of Public Health Sciences, 2014, University of Alberta

The primary objectives of the research were to explore the underlying factor structure of the 5 A’s (Availability, Acceptability, Accessibility, Adaptability, Affordability) of senior friendly transportation and to identify variables (e.g., sex, age, location, income, health status, etc.) associated with older adults’ ratings of importance of different features of each of the 5 A’s. Exploratory Factor Analyses revealed three underlying latent factors: Essential Features; Non-Essential Features; and Demand Response Scheduling. Composite measures were developed to represent the ratings of importance that older adults place upon different features of senior friendly transportation. Based on multiple regression analyses, significant variables associated with older adults’ ratings of importance included driving status, sex, age, and income with the patterns of findings varying across the three factors. These results can be used to inform on more responsive models of alternate transportation for seniors.

Subjects/Keywords: seniors, older adults, aging, and mobility; responsive models of alternate transportation for seniors services; seniors or older adults' transportation; the 5 A's of senior friendly transportation; older adults and driving cessation or loss of mobility

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pidborochynski, T. L. A. (2014). An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/3197xn12f

Chicago Manual of Style (16th Edition):

Pidborochynski, Tara L A. “An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services.” 2014. Masters Thesis, University of Alberta. Accessed December 06, 2019. https://era.library.ualberta.ca/files/3197xn12f.

MLA Handbook (7th Edition):

Pidborochynski, Tara L A. “An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services.” 2014. Web. 06 Dec 2019.

Vancouver:

Pidborochynski TLA. An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2019 Dec 06]. Available from: https://era.library.ualberta.ca/files/3197xn12f.

Council of Science Editors:

Pidborochynski TLA. An Exploration of the Relationship between Socio-Demographic, Physical, and Mental Health Factors and the Ratings of Importance that Older Adults Place upon Different Attributes of Alternate Transportation for Seniors Services. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/3197xn12f

3. Ištoka Otković, Irena. Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas.

Degree: 2011, Univerza v Mariboru

The thesis researches the application of neural networks in computer program calibration of traffic micro-simulation models. The calibration process is designed on the basis of the VISSIM micro-simulation model of local urban roundabouts. From the five analyzed methods of computer program calibration, Methods I, II and V were selected for a more detailed research. The three chosen calibration methods varied the number of outgoing traffic indicators predicted by neural networks and a number of neural networks in the computer program calibration procedure. Within the calibration program, the task of neural networks was to predict the output of VISSIM simulations for selected functional traffic parameters - traveling time between the measurement points and queue parameters (maximum queue and number of stopping at the roundabout entrance). The Databases for neural network training consisted of 1379 combinations of input parameters whereas the number of output indicators of VISSIM simulations was varied. The neural networks (176 of them) were trained and compared for the calibration process according to training and generalization criteria. The best neural network for each calibration method was chosen by using the two-phase validation of neural networks. The Method I is the calibration method based on calibration of a traffic indicator -traveling time and it enables validation related to the second observed indicator – queue parameters. Methods II and V connect the previously described calibration and validation procedures in one calibration process which calibrates input parameters according to two traffic indicators. Validation of the analyzed calibration methods was performed on three new sets of measured data - two sets at the same roundabout and one set on another location. The best results in validation of computer program calibration were achieved by the Method I which is the recommended method for computer program calibration. The modeling results of selected traffic parameters obtained by calibrated VISSIM traffic model were compared with: values obtained by measurements in the field, the existing analysis methods of operational roundabouts characteristics (Lausanne method, Kimber-Hollis, HCM) and modeling by the uncalibrated VISSIM model. The calibrated model shows good correspondence with measured values in real traffic conditions. The efficiency of the calibration process was confirmed by comparing the measured and modeled values of delays, of an independent traffic indicator that was not used in the process of calibration and validation of traffic micro-simulation models. There is also an example of using the calibrated model in the impact analysis of pedestrian flows on conflicting input and output flows of vehicles in the roundabout. Different traffic scenarios were analyzed in the real and anticipated traffic conditions.

V predloženi doktorski disertaciji je obravnavana in raziskana uporaba nevronskih mrež v procesu računalniške kalibracije (umerjanja) mikro-simulacijskih prometnih modelov. Proces…

Advisors/Committee Members: Tollazzi, Tomaž.

Subjects/Keywords: traffic models; traffic micro-simulation; calibration of the VISSIM model; computer program calibration method; neural networks in the calibration process; micro-simulation of roundabouts; traffic modeling parameters; driving time; queue parameters; delay; prometni modeli; mikrosimulacija prometa; kalibracija VISSIM modela; metoda kalibracije računalniškega programa; uporaba nevronskih mrež v procesu kalibracije; mikro-simulacija krožnih križišč; parametri modeliranja prometa; potovalni čas; parametri čakalne kolone; zamuda.; info:eu-repo/classification/udc/[004.94:656.1]:625.739(043.3)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ištoka Otković, I. (2011). Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=18811 ; https://dk.um.si/Dokument.php?id=22498&dn= ; https://plus.si.cobiss.net/opac7/bib/15017494?lang=sl

Chicago Manual of Style (16th Edition):

Ištoka Otković, Irena. “Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas.” 2011. Doctoral Dissertation, Univerza v Mariboru. Accessed December 06, 2019. https://dk.um.si/IzpisGradiva.php?id=18811 ; https://dk.um.si/Dokument.php?id=22498&dn= ; https://plus.si.cobiss.net/opac7/bib/15017494?lang=sl.

MLA Handbook (7th Edition):

Ištoka Otković, Irena. “Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas.” 2011. Web. 06 Dec 2019.

Vancouver:

Ištoka Otković I. Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2011. [cited 2019 Dec 06]. Available from: https://dk.um.si/IzpisGradiva.php?id=18811 ; https://dk.um.si/Dokument.php?id=22498&dn= ; https://plus.si.cobiss.net/opac7/bib/15017494?lang=sl.

Council of Science Editors:

Ištoka Otković I. Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas. [Doctoral Dissertation]. Univerza v Mariboru; 2011. Available from: https://dk.um.si/IzpisGradiva.php?id=18811 ; https://dk.um.si/Dokument.php?id=22498&dn= ; https://plus.si.cobiss.net/opac7/bib/15017494?lang=sl

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