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DIRECT: Operational Field Test Evaluation Natural Use Study. Part 2. Driver Satisfaction in DIRECT Controlling for Reliability
| 题名： | DIRECT: Operational Field Test Evaluation Natural Use Study. Part 2. Driver Satisfaction in DIRECT Controlling for Reliability |
| 作者： | Underwood, S.; Hanafi, T.; Reed, T.; Richeson, R. |
| 关键词： | Driver aid systems; Program evaluation; Operational field tests; Reliability analysis; Traffic management; Radio communication; Driver performance; Information systems; Accidents; Traffic delays; Travel demand; Traffic surveys; Traffic safety; Deployment |
| 摘要： | One of the most difficult aspects of evaluating an operational field test is obtaining consumer response to products or services that are not market ready or even completely functional. The DIRECT (Driver Information Radio using Experimental Communication Technologies) operational field test compared consumer response to four new low-cost advanced traveler information systems (ATIS): Automatic Highway Advisory Radio (AHAR), Low Power Highway Advisory Radio (LPHAR), Cellular telephone call-in, and Radio Data System (RDS/SCA). These systems were compared to each other and to a control group of drivers using standard radios and receiving commercial traffic reports. These systems were selected because at little cost they could alert drivers to traffic conditions: on-demand (versus periodic access to traffic information) specific to the routes (versus area-wide information), and automatically interrupting if a new incident was identified. Nevertheless, because all of the systems evaluated in this study were limited-deployment pre-market implementations the subjects experienced a variety of reliability problems. The problems ranged from receiving incomplete reports of traffic problems to frequent radio interruptions with mundane traffic information. The evaluation presented this report addresses the drivers level of satisfaction controlling for these reliability issues. The evaluation was conducted by setting the system reliability measures, based on driver survey responses, equal across each of the test systems including the control group. The analysis used a combination of principal component analysis (PCA) and regression analysis, reducing the evaluation to four intuitively appealing factors that explained most of the differences among the systems. The principal components scores from the PCA were used in the regression analysis to estimate the drivers satisfaction. |
| 总页数： | 40p |
| 报告类型： | 科技报告 |
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