Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.contributor.advisor | Sze, N. N. Tony (CEE) | en_US |
| dc.creator | Li, Han | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10919 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Drivers’ workload and driving performance affected by highly automatic driving and work zone configuration | en_US |
| dcterms.abstract | The use of auto-driving technology helps people with driving, but there are also some risks. Many previous studies have investigated on the relationship among drivers, vehicles and auto-driving technology. Under auto-driving mode, a higher level of auto-driving can reduce the workload of drivers. At the same time, work zone is a kind of obstacle which often appears on the road, and it also has a great impact on the safety of driving. The purpose of this experiment is to study the changes in workload of drivers, driving performance and the influence of driver's personality on driving performance when the vehicle passes through the work zone area under automatic and manual driving mode. 30 participants were recruited for the experiment, and the data was collected by a driving simulator. The data was processed and analyzed by a mixed-model named Analysis-of-Variance (ANOVA). The driver's workload was expressed by the time it took to answer mathematical questions in the experiments. The experimental results showed that different driving modes would affect workload of the subjects. Under the automatic driving mode, the driver could better complete the non-driving task. Different work zones had no significant impact on workload, but it had a great impact on the driver's driving performance under the manual driving mode. The more complex the working zone was, the longer the length would be, the stronger the deceleration measure taken by drivers was, and more stable the vehicles would be in lateral position. Drivers performed differently in different areas of the work zone, such as speed reduction area (SRA) and work zone area (WZA). Mean speed was higher in SRA, SD speed was higher in WZA, and the lowest SDLP was found in the SRA of complex work zone. So, driving mode is the main factor that affects the driver's workload. Auto-driving can reduce the driver's workload. Different work zones have no significant impact on it but an impact on the driver's performance under manual driving mode. | en_US |
| dcterms.extent | vii, 46 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2019 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Automobile driving -- Psychological aspects | en_US |
| dcterms.LCSH | Automobile driving -- Physiological aspects | en_US |
| dcterms.LCSH | Motor vehicle drivers -- Psychology | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5388.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.47 MB | Adobe PDF | View/Open |
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