摘要: |
Rest areas along Florida’s interstate routes are heavily utilized by commercial trucks for overnight parking. Many of the rest areas regularly experience 100% utilization of the commercial truck parking spaces during the evening and early morning hours. The objective of this project weas of interstate rest areas. This as to evaluate three different vehicle detection technologies (SENSIT, Sensys, and CivicSmart) as applied to commercial truck parking arevaluation addresses several aspects: (1) the accuracy of the vehicle detection in parking spaces, (2) cost of the technology (not included in this report for confidentiality reasons), (3) installation, setup, and maintenance of technology, (4) sensor output integration with SunGuide® software, and (5) sensor durability (to the extent this was possible over the relatively short duration of this project). The research team recorded video of the rest areas as the ground-truth data and compared the video data with the parking sensor data. Two accuracy tests (event accuracy and occupancy accuracy) were conducted to evaluate each sensor’s ability to correctly reflect the status of each parking space. Overall, it was found that all three technologies performed well, with accuracy rates of 95% or better for both tests. |