| Title |
Human Factor Evaluation of In-Vehicle Signal Assistance System |
| ID_Doc |
42666 |
| Authors |
Lee, J; Gutesa, S |
| Title |
Human Factor Evaluation of In-Vehicle Signal Assistance System |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
This paper assesses the effectiveness of In-Vehicle Signal Assistance (ISA) that can be deployed to intersections in Smart City. Using Signal Phase and Timing (SPaT) data through wireless connectivity under Smart City environment, ISA assists drivers to perform safe and smooth crossings at the next intersection. Employing a Driving Simulator, ten subject drivers are recruited to examine the impact of ISA from the perspective of human drivers. Based on Likert Scale, a questionnaire is designed to conduct experiments to accurately capture the diverse driving behaviors of the subject drivers. Experiment results showed that between 70% and 90% of subject drivers agree that the ISA application is a useful tool for improving the safety and mobility of their driving conditions. It is also discovered that the ISA application enables the drivers to move vehicles faster, by producing travel time savings of as much as 5 seconds per driver, on average. With the observations discovered from the acceleration profile and trajectory data, the ISA application assisted drivers with conducting smooth driving maneuvers and, in turn, improved the safety, mobility, and comfort of drivers when crossing an intersection. |
| Author Keywords |
In-Vehicle Signal Assistance; Driving Simulator; Human Factor; Connected Vehicle; V2I Communications |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000464418300188 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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