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AGIF ORS RM STUDY GROUP 2016, FRANKFURT

机译:AGIF或者RM学习集团2016年,法兰克福

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Developed a new dependent demand, network revenue opportunity model (SBQP) which optimizes revenue while providing more stable market-level allocations than existing methods ? In network samples we tested, showed that the SBQP reduces market-level allocation variability over time between i%-8% ? The expected total ROM runtimes increased about 4% using the two-stage approach compared to the SBLP alone ? The reductions in variability were shown to be consistent across a range of tolerances and were strongly statistically significant Future Research ? Conducting customer testing with parallel versions of ROM models to determine if the impacts are noticeable in practice to RM analysts ? Exploring adaptations of the SBQP to other problems such as O&D traffic estimation.
机译:开发了新的依赖需求,网络收入机会模型(SBQP),优化收入,同时提供比现有方法更稳定的市场层面分​​配?在我们测试的网络样本中,显示SBQP随着时间的推移降低了I%-8%之间的市场级分配变化?与单独的SBLP相比,预期的总数ROM运行时间增加了大约4%的方法?在一系列耐受性方面,可变异性的减少呈态度,并且在统计上有着强烈的未来研究?使用并行版本的ROM模型进行客户测试,以确定对RM分析师的影响是否明显?探索SBQP对其他问题的改编,如O&D流量估计。

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