Research on optimization of reserve quantity distribution of emergency rescue materials for a heavy-haul railway
To improve the emergency response capability of heavy-haul railway,a risk assessment cloud model was construc-ted to identify the accident-prone sections,and the accident scenes were generated using Monte Carlo method.A dual-objec-tive materials dispatching model was designed to optimize the materials dispatching scheme,and the non-dominated sorting ge-netic algorithm Ⅱ(NSGA-Ⅱ)was used to solve the optimal solution.While keeping the stations and total amount of mate-rials unchanged,an optimized scheme of rescue materials reserve matching the risk characteristics of the railway line was pro-posed.The results show that after optimization,the total dispatching distance of first-level response is reduced by 31.28％on average,and that of second-level response is reduced by 46.80％,which indicate that the optimized reserve scheme can effec-tively shorten the response time and improve the rescue efficiency.The research results can provide theoretical guidance for the materials distribution and scheduling of heavy-haul railways.
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