| Air transportation has always been the primary choice for short-term and long-distance travel.With the vigorous development of China’s economy,the number of airports and the volume of air transport passengers have also increased.This brings both opportunities and challenges to airport road-side public transport.The increase in demand and the diversity of demand require upgrading of transport scale,improving transport quality and intelligent transport services.It is obvious that most airports cannot keep pace with the development of public transport.With the increase of vehicle ownership,the increase of urban road network pressure leads to the uncertainty of road network travel time.In addition,the single operation route and the fixed departure schedule lead to the lack of flexibility and time guarantee of transportation services.The fixed operation mode makes the vehicle capacity cannot be maximized and the resources are wasted.Therefore,under the background of interval road network impedance,considering the characteristics of air passenger travel and the diversity of travel demand,this thesis takes demand-response airport bus as the research object,and optimizes the route of airport bus with multi-park and multi-vehicle under interval impedance.The specific research contents are as follows:(1)Through the analysis of the characteristics of airport air transport passenger flow,the main modes of airport road-side connection traffic and the characteristics of airport connection bus service mode are studied.On this basis,the demand-response airport bus system studied in this thesis is highlighted,and the operation process and operation rules of demand-response bus with multiple depots and multiple models are designed,which lays the foundation for the subsequent model construction.(2)Since there are a large number of random factors in the actual urban road network,this thesis uses interval impedance to describe the uncertainty of road network impedance,and uses the robust deviation criterion of regret value to define the robust cost of vehicle driving.At the same time,considering the actual operation and the utilization rate of vehicle resources,the service mode of multiple models in multiple yards is more competitive and economical.For different models,different fixed costs are considered in the operation process,and vehicle scheduling is considered from different yards according to the distribution of passenger demand.In this context,considering the robust cost of vehicle path,the time cost of passengers and the starting cost of vehicles with different models,the dynamic vehicle path optimization model under interval impedance is established with the minimum total cost as the goal.(3)A hybrid genetic algorithm is designed to solve the model.The coding scheme is determined according to the multi-depot and multi-vehicle problem.The virtual depot is introduced in the coding to transform the multi-depot problem into a single depot problem.The fitness function and the crossover and mutation evolution strategy are determined according to the problem.The variable neighborhood search algorithm is introduced to obtain some initial solutions.The 2-opt optimization operator is introduced to strengthen the local search ability of the algorithm and improve the efficiency of the algorithm.(4)Based on the background of Zhuzhou Airport Express,the designed algorithm and model are verified according to the data of Zhuzhou urban road network and operation company.Python is used to program the model and algorithm,and the model data and algorithm data are input to solve.The results are analyzed to verify the rationality and effectiveness of the model and algorithm.This thesis proposes that airport customized buses can expand the service scope of air transport,increase its competitiveness with the air passenger transport industry,improve the operational efficiency of public transport,and accelerate the seamless connection between air transport and road transport. |
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