摘要: |
Track delays at terminal gates decrease productivity of ports and truck fleets (e.g. trucker idle time) and increase truck emissions. U.S. ports have explored solutions, such as gate appointment systems, to improve gate operations and reduce truck delays. It is important to quantitatively evaluate these solutions and to understand their impact on the underlying behavior (e.g. truck arrival pattern) using actual, measured gate performance data. However, researchers have difficulty obtaining measured, detailed gate performance data (e.g. for each truck) by visually reviewing images because the process is labor-intensive, time-consuming, and costly. Thus, gate performance data connection is often limited to a short period of time (only a few hours), which limits the understanding of the performance of the actual gate system. Therefore, an effective means to collect detailed gate performance data over a longer time period (e.g. one week) using images widely available is needed. |