Achieving higher taxi outflows from a congested drop-off lane: a simulation-based policy study
Fangyi Yang, Weihua Gu, Michael Cassidy, Xin Li, Tiezhu Li

TL;DR
This study uses simulation to optimize FIFO taxi drop-off lane policies at airports and stations, demonstrating that strategic batching and discharge rules can significantly increase taxi throughput.
Contribution
It introduces a calibrated microscopic simulation model and evaluates innovative batching and discharge strategies to improve taxi outflows in congested drop-off lanes.
Findings
Rescinding current batching increases outflow by over 26%
Strategic batching and discharge rules further improve efficiency
Potential for significant throughput gains in shared-ride service lanes
Abstract
We examine special lanes used by taxis and other shared-ride services to drop-off patrons at airport and rail terminals. Vehicles are prohibited from overtaking each other within the lane. They must therefore wait in a first-in-first-out queue during busy periods. Patrons are often discharged from vehicles only upon reaching a desired drop-off area near the terminal entrance. When wait times grow long, however, some vehicles discharge their patrons in advance of that desired area. A train station in Eastern China is selected as a case study. Its FIFO drop-off lane is presently managed by policemen who allow taxis to enter the lane in batched fashion. Inefficiencies are observed because curb space near the terminal often goes unused. This is true even when supplemental batches of taxis are released into the lane in efforts to fill those spaces. A microscopic simulation model of a FIFO…
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Taxonomy
TopicsTransportation Planning and Optimization · Traffic control and management · Transportation and Mobility Innovations
