Dynamic Pricing Optimization Model And System Design For Intercity Highway Passenger Transportation

The high-speed railways are growing in a quite unimaginable speed,thus the survival of passenger transportation system has been severely challenged.Traditional passenger pricing is government pricing under a market-oriented approach.Compared to the price of high-speed rail travel,high-speed rail fares are often lower than those of road passenger transport,resulting in road passenger transport being at an extreme competitive disadvantage.With the passenger transport market in such a depressed state,it is important to change the traditional pricing model and design a pricing scheme that is more in line with the market to enhance the sustainable development of the passenger transport market.This thesis introduces a variety of pricing models commonly used in the domestic and international literature and explains their applicability,ultimately choosing the dynamic pricing model suitable for this thesis.In addition,it is shown that the implementation of dynamic pricing schemes has both social and economic benefits for the passenger transport market,and is important for further exploration of this area in the future.The subject of this thesis is studying a new model regarding road transportation management and the key technology of function improvement under the big data environment.The data in this thesis came from the Yunnan Provincial Department of Transportation.Firstly,analyze the current situation of passenger transportation market in recent years.Through the data to illustrate the current problems in passenger transport market.It is pointed out that the passenger flow exists the imbalance between space and time.The necessity and importance of implementing dynamic pricing.And through the statistics of the travel data of the passenger transportation system in Yunnan Province,analyze what factors affect passengers’ choice of passenger travel.This thesis mainly explores that under the competition of railway traffic,passengers’ choice of passenger travel mode is affected by it.The price elasticity factor is divided according to the travel distance,and the fare is also adjusted by different travel time and remaining seat factors.This thesis proposes an optimal dynamic pricing method based on the demand price elasticity.Establish a dynamic pricing model on the premise of maximizing the daily revenue of passenger transport companies.Based on the actual situation,constraints are imposed from two aspects: meeting the travel needs of passengers and the operational capabilities of enterprises.Then,synthesize various factors,select GAMS software to solve the dynamic pricing model for highway passenger transportation.Experiment with this model using the travel data of the Yunnan Highway Passenger Transport System.Combine the established dynamic pricing model with actual data.It is verified that dynamic pricing can effectively increase the revenue of passenger transport companies.It also verifies the effectiveness of the model and algorithm.Finally,considering the real-life user experience,the dynamic pricing system for highway passenger transportation was designed in order to enable users to compare the dynamic fare differentiation more intuitively and to query the trips information more clearly.Users can query ticket information according to their own needs.Import the data into the designed data table.Using JSP technology to design the dynamic pricing system for highway passenger transportation,clear user needs,combined with the database,realize the user’s independent booking in the web page.This thesis puts forward the implementation scheme of dynamic pricing of intercity highway passenger transport and points out the future research direction.This thesis is helpful for passenger transport enterprise to improve operating profit,and the transportation administration to allocate the transport capacity.