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Reliability based assignment in stochastic-flow freight network |
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| Authors: | Wangtu Xu Shiwei He |
| Institution: | a School of Traffic and Transportation, Beijing Jiaotong University, 3 # 801, Xue Yuan Student Apartment, Beijing 100044, China b Department of Transportation Management, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China c Department of Traffic Engineering, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China d School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China |
| Abstract: | Based on the reliability of transportation time, a transportation assignment model of stochastic-flow freight network is designed in this paper. This transportation assignment model is built by mean of stochastic chance-constraint programming and solved with a hybrid intelligent algorithm (HIA) which integrates genetic algorithm (GA), stochastic simulation (SS) and neural network (NN). GA is employed to report the optimal solution as well as the optimal objective function values of the proposed model. SS is used to simulate the value of uncertain system reliability function. The uncertain function approximated via NN is embedded into GA to check the feasibility and to compute the fitness of the chromosomes. These conclusions have been drawn after a test of numerical case using the proposed formulations. System reliability, total system cost and flow on each path would finally reach at their own convergence points. Increase of the system reliability causes increase of the total time cost. The system reliability and the total time cost converge at a possible Nash Equilibrium point. |
| Keywords: | System reliability Stochastic-flow network Transportation assignment Chance-constraint programming Hybrid intelligent algorithm |
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