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Research on Airport Taxi Problem Based on Poisson Distribution Flow

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DOI: 10.23977/jfsst.2021.010101 | Downloads: 3 | Views: 306

Author(s)

Fan Tao 1, Yongkai Duan 1, Xueqing Wang 1

Affiliation(s)

1 School of Mechanical and Electrical Engineering, Shihezi University, Shihezi, Xinjiang 832000, China

Corresponding Author

Fan Tao

ABSTRACT

To analyze the problem of airport taxi, we should not only improve the driver's income from the perspective of taxi drivers, but also reduce the passenger lag flow from the perspective of airport. Drivers have to make decisions based on the number of passengers at the airport and the number of taxis waiting in line to pick up passengers. In this paper, Poisson distribution is used to estimate the airport passenger flow and the number of taxis at each time, and the critical time for drivers to wait is obtained. To set up an appropriate boarding point, it is necessary to comprehensively consider the effects of safety and efficiency. In this paper, three kinds of advance schemes are considered from many angles, the advantages and disadvantages of each scheme are analyzed and compared, and the relatively better scheme is selected according to the quadratic polynomial function relationship between passenger flow and pedestrian flow density. The efficiency of the better scheme is obtained, and the total number of taxis successfully waiting in T time is obtained.

KEYWORDS

Poisson distribution stream, Taxi, Pickup point, Reward mechanism

CITE THIS PAPER

Fan Tao, Yongkai Duan, Xueqing Wang, Research on Airport Taxi Problem Based on Poisson Distribution Flow. Journal of Frontiers of Society, Science and Technology (2021) 1: 1-3. DOI: http://dx.doi.org/10.23977/jfsst.2021.010101

REFERENCES

[1] Ren Guoyou, Wang Wentao, Liu Xu(2019). Characteristics of pedestrian flow in Terminal T3 of Capital Airport under boarding and departure scenarios[J]. Security, vol. 40, no. 08, pp. 11-16. 
[2] Liu Ruiyuan, Zhang Zhixia(2008). Hypothesis test of binomial distribution and Poisson distribution discrimination[J]. Journal of Qinghai University(Natural Science Edition), no. 01, pp. 44-47. 
[3] LIN Silui(2018). Research on Forecasting Technology of Airport Taxi Transport Demand[D]. University of Electronic Science and Technology of China.

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