Curbside Traffic Monitoring Tool Found Remote For-Hire Vehicle Service Reduced Traffic Density by 15 Percent at John F. Kennedy Airport.

METHODOLOGY

• Advanced queue detection. The goal of this use case was to automate speed and queue detection across JFK roadways. Various computer vision and analytics techniques were applied to account for challenges such as obstructions and changing camera angles. 
• Curbside traffic monitoring. The goal of this use case was to automate the detection of curbside activity and generate metrics such as lane utilization and vehicle dwell time. The AI tool was evaluated by comparing curbside traffic conditions on the arrivals level of JFK’s Terminal 4 before and after the implementation of a remote frontage for for-hire vehicles (FHVs).  A shuttle bus service was introduced to transport passengers to the remote frontage for FHV pickup. Performance measures included lane occupancy, traffic density, vehicle dwell time, and the number of pedestrians entering active traffic lanes.

FINDINGS

• The curbside traffic monitoring tool found a 15 percent reduction in traffic density after the remote frontage was implemented. 
• Post-deployment, dwell times decreased for 78 percent of lanes.