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.
Highlights
With the continuous improvement of people’s living standards and the increase in the number of vehicles, the frequency of residents’ trips has increased significantly
As the first choice of many passengers and the business card of the city, In 2019, the taxi passenger volume accounts for 27.2% of the annual passenger traffic volume [1], taxis are one of the important transportation modes connecting the transportation hubs; the queuing efficiency is related to the travel experience of passengers, and it will affect the city’s image [2]–[4]
Wang et al.: Optimal Queuing Strategy for Airport Taxis studies concerning the double-queuing model, there are few researches considering the impact of the number of taxi lanes, the number of taxi pick-up points, and the number of taxis in the boarding area on the taxi-taking efficiency of passengers at the airport at the same time
Summary
With the continuous improvement of people’s living standards and the increase in the number of vehicles, the frequency of residents’ trips has increased significantly. Wang et al.: Optimal Queuing Strategy for Airport Taxis studies concerning the double-queuing model, there are few researches considering the impact of the number of taxi lanes, the number of taxi pick-up points, and the number of taxis in the boarding area on the taxi-taking efficiency of passengers at the airport at the same time. This paper divides the queuing behaviors of taxis and passengers into three parts: the passengers’ queuing behavior, VOLUME 8, 2020 the taxis’ queuing behavior, and the passengers’ behaviors of placing luggage and getting on the taxis afterward On this basis, combining with the double-queuing model and the system simulation method, this paper analyzed the optimal queuing strategy of airport taxis, and the research results have important significance for the improvement of the city’s image and the rapid evacuation of airport passengers during emergencies. BASIC ASSUMPTIONS This paper made the following basic assumptions for modeling: Assumption 1: There are plenty of passengers and taxis; Assumption 2: The taxi driver is skilled in driving and the moving speed is relatively stable; Assumption 3: The average walking time of passengers is relatively stable can well follow the instructions of the attendants and the variance is relatively small
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