Research On Transportation Optimization For Stratic Loading Domain Of Heavy Haul Transportation

The loading area is often regarded as original cargo source area, its transport organization method is very important for ensuring heavy line to run smoothly. And now, the status quo of heavy haul transporation organization is not accurated enough, which restricted the transport capacity. Therefore, this thesis regards the stragetic loading domain as the research scope, optimizes its transport organization scheme and combination scheme of combination station, in order to acquire reasonable organization methods for Chinese heavy haul lines. The main research contents are as followed:(1) This paper reviews the development of heavy haul transportation in the world, summarizes the research progress of heavy haul transportation and stratic loading area. Then, dividesthe loading points within the loading domain into three levels, stratic loading points, stratic loading areas and stratic loading domain in accordance with its sources of supply conditions and transport organization methods,at last elaborates the softwares and hardwares of heavy haul transport organization.(2) This paper analyzes the operating process of heavy haul transportation, proposes the characteristics of the collection and distribution system. Based on above, the overall combination scheme optimization problem of stratic loading domain for heavy haul transportation is proposed under the conditon of single combined station, and a bi-objective linear programming model is established.Heuristic rules based on the actual background of the case are also proposed to simplify the model, and membership function method is adopted to solve the model and acquire multi-objective planning fuzzy optimal solution.The results show that:after the optimization, the time consumption of car flow within the scope of the strategic loading domain decreases while transport capacity enhances at the same time.(3) The paper elaborates the combination characteristics of combination station and analyzes the main factors affecting the combined operations of the combined station, then defines combination scheme optimization problem of combination station for heavy haul transportation (SCCHP). And based on these, the single objective nonlinear mathematical programming model is establised under the static condition. For the above model, the difficulty of analysis is being carried out at first, random examples are generated to verify the above analysis, then different algorithms like m-GA, p-GA are designed for attempting to slpve the model. Finally, MMAS algorithm is designed to solve the problem successfully.The experiments confirmed that:the MMAS algorithm in solving SCCHP has better performance on time consumption, and the average optimal separation is less than5%. (4) Firstly, The paper proposes dynamic favorable assumptions for combination station of heavy haul transportation and defines combination scheme optimization for combination station of heavy haul transportation under dynamic condition (DCCHP).A bi-objective nonlinear programming mode is established which takes the time consuming as small as possible within the scope of stratic loading domain and and departure satisfaction degrees maximum as the goal, and finally a case is proposed to verify the correctness of the assumptions. However, the optimization effect is not very obvious under dynamic conditions. Secondly, the paper elaborates the classicalstation styles and working progresses of combinations stations, and based on this utilization characteristics of heavy tracks are acquired and combination scheme optimization problem for combination station of heavy haul transportation based on track utilization(SCCTP) is defined, and the model natures are analyzed, gets some favorable theorems of different combination schemes. The corollary shows that:if taking heavy haul train speeding up to departure as objective, those trains, trains with same directions, trains with different directions, unit trains with the weight of20thousand tons and unit trains with the weight of10thousand tons. Their superiorities are in order of decreasing.(5) Based on the foregoing research results, a bi-level programming model is established for carflow comprehensive optimization of heavy haul transportation within stratic loading domain, and adjustment rules between the upper and lower are proposed, then, according to the characteristics of lower level programming model and the aforementioned analysis modelnatures, the paper puts forward the form method to solve the problem. Finally, an example is proposed to verfy the feasibility of the model and algorithm.The research is not only a practical guide for car flow organization optimization of strategy loading domain of heavy haul transportation, but also has a positive effect for rich theoretical system of heavy hual transportation.