The Optimal Queuing Strategy for Airport Taxis

Abstract

In recent years, with the increase in the frequency of residents’ trips, the problem of taking taxis in airports, train stations, and other transportation hubs has received wide attention, especially when we need to evacuate people in major emergencies such as epidemics, the traffic efficiency of these transportation hubs is critical. To improve the efficiency of passengers taking taxis at airports, the Hohhot Baita Airport in China is taken as an example, this paper studies the optimal queuing strategy of airport taxis under the condition of different numbers of pick-up points and drive lanes. based on the queuing theory, and the Monte Carlo simulation is adopted to obtain the average time spent by passengers to take taxis under different taxi-taking strategies, as well as the optimal number of taxi pick-up points and the optimal number of taxis in the boarding area under the condition of different numbers of lanes. The results show that the two-lane queuing model was significantly better than the single-lane queuing model, and the time optimization ratio exceeded 25%. However, the two independent lanes queuing mode could further reduce the average taxi-taking time by about 30%. The research results have an important reference value for the improvement of existing taxi lanes and the design of newly-constructed taxi lanes in airports, train stations, and other transportation hubs.

Keywords

• Airport taxis
• double queuing
• Monte Carlo
• pick-up points
• drive lanes