Automated Low-Cost and Real-Time Truck Parking Information System.

摘要

In this project an automated real-time parking information system was developed to improve truck-parking safety through efficient gathering and disseminating information regarding the use of existing parking capacity. The system consists of four main components: sensing, data collection, data processing and user interface (UI). A pilot deployment was conducted on an SHAs truck parking facility located on I-95 northbound prior to MD 32. During the testing period of January 6 through 14, 2013, 1,239 events were detected by the system. Each event refers to any truck arrival or departure activity in a spot. The average overall detection error was 3.75 percent and the maximum error was 5 percent. The error rate can potentially be reduced by using more sensors at each spot and using repeaters to avoid signal blockages.