Paper
8 December 2022 Research and analysis of taxi decision-making problem
Rubo Sun, Sunyan Hong, Jiangchao Liu, Fei Deng, Zhenting Chen, Bo Duan
Author Affiliations +
Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124741O (2022) https://doi.org/10.1117/12.2653756
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China
Abstract
At present, taxi is one of the main transportation modes for passengers to arrive at their destination, and its convenience is increasingly becoming an important transportation mode in many cities. However, taxis queue up for passengers or passengers queue up to take the bus from time to time. Based on this problem, this paper establishes a corresponding mathematical model to analyze the taxi driver's selection strategy after sending passengers to the airport, so that the taxi driver can improve the efficiency of passengers as much as possible, so as to increase the available income. Firstly, in order to further put forward the selection strategy of taxi drivers, this paper reflects the driver's income according to the passenger mileage, no-load mileage, no-load rate and passenger carrying rate of taxis in different periods, and makes a selection strategy for taxi drivers from the aspect of maximum income. Finally, in order to consider the fairness of the airport taxi industry and make the income of these taxis as balanced as possible, we analyze and study from the two aspects of "short distance vehicles" and "long distance vehicles", and solve the problem of "boarding points" by setting up non passable lanes to improve the efficiency of the airport.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rubo Sun, Sunyan Hong, Jiangchao Liu, Fei Deng, Zhenting Chen, and Bo Duan "Research and analysis of taxi decision-making problem", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124741O (8 December 2022); https://doi.org/10.1117/12.2653756
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KEYWORDS
Data modeling

Systems modeling

Computer simulations

MATLAB

Mathematical modeling

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