延迟的方法估计在一个繁忙的机场-------外文翻译.doc
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延迟的方法估计在一个繁忙的机场-------外文翻译,3 .results of modelin this chapter the results of the basic model will be described anddiscussed,additionally a sensitivity analysis will be done in order to es...
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3 .Results of Model
In this chapter the results of the basic model will be described and discussed,Additionally a sensitivity analysis will be done in order to estimate the delays under different conditions of capacity and demand at Logan.
3.1 Description of Results of Model
We have run the model described in Chapter 2 and derived statistics on the delays to landing operations at Logan for 250 days. For each day of analysis, the following statistics were Collected: total capacity, total demand, total delay, maximum delay per aircraft, number of delays greater than 15 minutes, the average hourly delay for each hour, and the average delay per aircraft. A brief explanation of these statistics is in order. Total capacity for each day is the total capacity generated by the weather model for each day and is a stochastic quantity. Total demand for each day is derived from the demand profile, and is thus non-stochastic. The total delay for each day is the sum of the delays for each aircraft landing that day. The maximum daily delay is the maximum of the delays experienced by aircrafts landing in that day. The average daily delay is the averag
在这一个章节中,我们将描述和讨论基本模型的结果,另外我们将以洛根(Logen)机场为依据做一个有意义的分析:估算不同状况下的延迟的能力。
3.1 模型结果的描述
我们已经在第二章的洛根机场的延迟模型描述和整理后统计数字中忙了250天之久了,在每天的分析中, 我们收集了下面的统计数据: 总容量、要求容量、总延迟、每一飞机最大值延迟、 延迟大于 15 分钟、 每小时的平均每小时延迟 、和每架飞机平均延迟。并对这些统计数据作出了简短的解释。每天的总容量是由每天的天气模型和一个随机数产生的。每天的要求容量是客观需求的,因此不是随机的。每天的总延迟是那天登陆的每架飞机的延迟的总数。每日最大延迟是那天的飞机登陆经历的延迟的最大值。 平均的每日延迟是在一个给定的日子期间所有的飞机登陆经历的延迟的平均。 一个给定时刻的平均每小时的延迟是进入等待的队伍在那小时期间登陆的每架飞机遇到的延迟的平均。 (并非在那小时内登陆的飞机遇到的平均的延迟)
通过前面250天的分析,每时期的总延迟、最大延迟、和平均延迟是每架飞机所有延迟的平均。
In this chapter the results of the basic model will be described and discussed,Additionally a sensitivity analysis will be done in order to estimate the delays under different conditions of capacity and demand at Logan.
3.1 Description of Results of Model
We have run the model described in Chapter 2 and derived statistics on the delays to landing operations at Logan for 250 days. For each day of analysis, the following statistics were Collected: total capacity, total demand, total delay, maximum delay per aircraft, number of delays greater than 15 minutes, the average hourly delay for each hour, and the average delay per aircraft. A brief explanation of these statistics is in order. Total capacity for each day is the total capacity generated by the weather model for each day and is a stochastic quantity. Total demand for each day is derived from the demand profile, and is thus non-stochastic. The total delay for each day is the sum of the delays for each aircraft landing that day. The maximum daily delay is the maximum of the delays experienced by aircrafts landing in that day. The average daily delay is the averag
在这一个章节中,我们将描述和讨论基本模型的结果,另外我们将以洛根(Logen)机场为依据做一个有意义的分析:估算不同状况下的延迟的能力。
3.1 模型结果的描述
我们已经在第二章的洛根机场的延迟模型描述和整理后统计数字中忙了250天之久了,在每天的分析中, 我们收集了下面的统计数据: 总容量、要求容量、总延迟、每一飞机最大值延迟、 延迟大于 15 分钟、 每小时的平均每小时延迟 、和每架飞机平均延迟。并对这些统计数据作出了简短的解释。每天的总容量是由每天的天气模型和一个随机数产生的。每天的要求容量是客观需求的,因此不是随机的。每天的总延迟是那天登陆的每架飞机的延迟的总数。每日最大延迟是那天的飞机登陆经历的延迟的最大值。 平均的每日延迟是在一个给定的日子期间所有的飞机登陆经历的延迟的平均。 一个给定时刻的平均每小时的延迟是进入等待的队伍在那小时期间登陆的每架飞机遇到的延迟的平均。 (并非在那小时内登陆的飞机遇到的平均的延迟)
通过前面250天的分析,每时期的总延迟、最大延迟、和平均延迟是每架飞机所有延迟的平均。