Abstract
How to efficiently guide passengers and ensure the order of airport operation is an urgent transport problem for airport management. Based on the analysis of the factors that affect the driver’s decision-making, this paper deeply explores the collaborative association of the core factors, such as the number of flight arrivals in different periods and the average seeking distance of taxis. Firstly, according to the GPS data of taxis, the paper uses clustering algorithm to get the average passenger-seeking time from the airport and makes matching interaction between the number of flights based on time distribution and the average passenger-carrying capacity of vehicles in the parking garage, so as to build a decision-making model based on the number of taxis N; secondly, it takes passenger safety and traffic order as the priority and uses M/M/S queuing model to integrate the two factors. Taking the maintenance cost and passenger evacuation time as constraints, the judgment condition of minimum cost Zmin and the optimal number of boarding points Sm are solved. Finally, taking the flight and taxi data of Shanghai Hongqiao Airport as an example, the driver’s decision-making standard is simulated, and the accuracy of the model is verified by the deviation rate. It can provide decision-making support for taxi management of urban transportation hub and rapid evacuation of airport passengers, so as to realize the collaborative optimization of airport flight arrival and taxi carrying order.
Highlights
When arriving at the airport, taking taxi is one of the main choices of passengers
Taxi drivers who drop off passengers to the airport will face two choices: (1) Proceed to the arrival area to wait for carrying passengers back to the city
Taxis must wait in a line at the designated “taxi storage pool” and enter the venue according to the “first come, first served” queue. e waiting time depends on the number of taxis and passengers in the queue, and a certain time cost is required
Summary
When arriving at the airport, taking taxi is one of the main choices of passengers. Most of the airports in China separate the drop off (departure) and pick up (arrival) channels. All of the above issues require in-depth study of the influence mechanism of relevant factors in taxi driver’s decisionmaking, comprehensively considering the changing law of the number of airport passengers and the income of taxi drivers, establishing a taxi driver selection decision-making model, and giving drivers’ corresponding strategies. In terms of balancing long-distance and short-distance benefits, Li [5] established a prediction model for passenger flow in the airport taxi ride area, established a deterministic decision-making model for drivers whether to wait or not, and used a goal planning model to solve the priority of short-distance for passengers. From the above point of view, this paper studies the collaborative optimization of multiple factors, on the basis of ensuring the travel efficiency of passengers arriving at the airport and striving to maximize and balance the income of drivers. 1.2. e Focus of is Paper. is article mainly focuses on three aspects: (1) When faced with the choice of entering the airport to pick up passengers and entering the urban area, how to optimize the driver’s decision and how to attract taxi drivers to the airport to ensure transportation capacity. (2) Optimize the passenger order of taxis at the airport and optimize the layout of the corridors for airport taxis to carry passengers. (3) Carry out the optimization plan design for reentry and passenger carrying for drivers who perform short-distance transportation tasks. e solution of the above problems will greatly promote the management and service level of airport taxis in mega cities
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
