Abstract—As a basic approach, a system with shared interests is used. The situation is considered when a passenger chooses between two types of transport: personal and public. Quality parameters of the route network and road infrastructure are fixed. A simulation model based on reinforcement learning. For the first time, a mechanism for finding the best option in the unchanged conditions of the route network, taking into account information about neighbors, was demonstrated. Our goal is to clarify the mechanism of choice based on satisfaction, which depends on comparing the quality of services in the past with that of the neighbors.
Index Terms—Intelligent agents, transport choosing model, passenger satisfaction, transport quality, shared interests system.
The authors are with Ural Federal University, Russia (e-mail: sergey@viharev.com, maksim.liapustin@gmail.com).
Cite: Sergey V. Vikharev and Maxim A. Lyapustin, "Variability of Passenger Satisfaction Depended on Choosing a Type of Transport on the Constant Transport Infrastructure," International Journal of Machine Learning and Computing vol. 10, no. 1, pp. 195-200, 2020.
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