Customized bus pricing method considering system optimization
A public transportation, optimal technology, applied in the field of traffic management, can solve problems such as ineffective transfer of traffic modes, negative effects, and difficulty in obtaining actual data
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[0069] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0070] A custom bus pricing method considering the system optimization, based on the multi-modal urban traffic network where conventional bus, custom bus and car coexist, establishes a bi-level programming model to study the pricing problem of custom bus. The upper-level pricing decision-making model is constructed with the goal of system optimization, and the lower-level is an equivalent multi-mode stochastic user balance model. The model is solved by genetic algorithm and sequential quadratic programming (SQP). Specifically include the following steps:
[0071] 1. Obtain basic planning data, including three aspects: OD (Origin Destination) demand forecast data, conventional bus and customized bus construction and operation cost data, and road network related data;
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