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Study On Heavy Haul Railway Locomotive Utilization Schedule In Emergency

Posted on:2019-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:W B GuoFull Text:PDF
GTID:2382330548967404Subject:Transportation planning and management
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Railway network is complex in China,and natural disasters and equipment factors caused rail transportation emergency events frequently.Although there are many research results in the adjustment of transport planning in emergency conditions,the locomotive utilization plan few related studies have been compiled under emergency conditions.There are more research results on the planning of aircraft utilization,which are similar to locomotive scheduling problem in emergency conditions.At present,China's railways use the emergency plan system,the hierarchical Agent method,and the rule-based reverse reasoning method to deal with the locomotives in emergency conditions mainly.There is no complete theoretical system.Therefore,in order to improve the efficiency of transportation organization in emergency conditions and minimize the losses caused by emergency events of the railway department,it is necessary to conduct in-depth research on relevant theoretical methods for the preparation of locomotive utilization plan in emergency conditions.Firstly,the paper based on the analysis of locomotive turnover,train set utilization,and aircraft schedule related existing research,this dissertation constructs specific research ideas for the application planning of heavy-haul locomotive schedule in emergency conditions.At the same time,the paper analyzed and discussed the characteristics of Heavy Haul Railway locomotives,and several operating systems for locomotive crossings on Heavy Haul Railway as well as the maintenance and repairing procedures for locomotives are discussed.For the daily freight locomotive utilization plan,through the boundary assumptions of the research contents,the paired operation diagrams,unpaired operation diagrams,single-machine type single-motor traction,single-type dual-motor traction and single-type single dual-motor hybrid traction locomotives were discussed.At the same time,the paper established corresponding model and algorithm for the schedule of multiple locomotives with a given number of locomotives.Then the problem of locomotive schedule in emergency conditions was studied,and the method of defining the flight string for flight recovery studies in emergency conditions was used for reference.A similar train string or train ring was defined for the train.Based on the constraints of locomotive operation,three classical models of resource assignment,space-time network and multi-commodity flow network were established.Analyzed and compared the advantages and disadvantages of these three models,and from the perspective of applying this study,by assigning the model to improve to form a new minimum cost model the classical resource model was finally adopted.Considering the complexity of the problem and the efficiency and quality of the results,the features of the greedy algorithm and the simulated annealing algorithm are analyzed and compared.Finally,the advantages of the greedy algorithm and the simulated annealing algorithm in their computational performance are combined,and Greedy-simulated Annealing Algorithm is designed for the new resource assignment model and used Matlab platform for program implementation.Finally,the paper used the data of some sections of Shuo-Huang Heavy Haul Railway Locomotives operation as an example using Greedy-simulated Annealing Algorithm to test and verify the performance of the improved resource assignment model and algorithm to generate the locomotive assignment scheme and locomotive schedule diagram.At the same time,the paper also used Greedy Algorithm and Simulated Annealing tested the experiment.Compared the results of the three algorithms,which showed that the Greedy-simulated Annealing Algorithm was superior to the other two algorithms,and verified the feasibility and validity.
Keywords/Search Tags:Emergency Conditions, Heavy Haul Railway, Locomotive Application, Greedy-simulated Annealing Algorithm
PDF Full Text Request
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