Abstract
In order to satisfy the diverse demand of travel service in the context of big data, this paper puts forward a unified framework for optimal routing choice under guidance information. With consideration of the influence of big data, the scenario analysis of routing choice is implemented, and the routing choice under guidance information is discussed. The optimal routing choice problem is abstracted into the collaboration optimization model of travel route choice, departure time choice, and travel mode choice. Based on some basic assumptions, the collaboration optimization model is formulated as a variational inequality model. The method of successive averages is applied to solve the proposed model. A case study is carried out to verify the applicability and reliability of the model and algorithm.
Highlights
With the rapid development of mobile internet, Internet of Things, cloud computing, and so on, the era of big data is coming and new data are generated day by day
The optimal routing choice problem is abstracted into the collaboration optimization model of travel route choice, departure time choice, and travel mode choice
Based on some basic assumptions, the collaboration optimization model is formulated as a variational inequality model
Summary
With the rapid development of mobile internet, Internet of Things, cloud computing, and so on, the era of big data is coming and new data are generated day by day. The optimal routing choice can be implemented when the travelers fully understand the traffic condition based on big data. These new travel modes based on the sharing system expand the range of combined travel mode, which is becoming one of the most popular and common travel modes these days. Influenced by big data, many new problems are created in the mathematical modeling.
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