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the size of vehicles, and load factors. The model features complementary networks, scheduling, price elastic demands, and …
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stochastic state variable. Retrieval of these experiences is probabilistic and subject to error. We apply the model to scheduling …
Persistent link: https://www.econbiz.de/10010465148
We study the trip scheduling preferences of train commuters in a real-life setting. The underlying data have been …
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Recent empirical work has suggested that there is an important distinction between short-run versus long-run scheduling …. This paper investigates whether this distinction between short-run and long-run scheduling decisions affect optimal pricing …
Persistent link: https://www.econbiz.de/10011715858
Empirical studies showed that many types of network traffic exhibit long-range dependence (LRD),i.e., burstiness on a wide variety of time-scales. Given that traffic streams are indeed endowed withLRD properties, a next question is: what is their impact on network performance? To assess...
Persistent link: https://www.econbiz.de/10011316864
We consider a queue fed by a large number, say n, of on-off sources with generally distributed on-and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc.The model is versatile: it allows us to model both long range dependent traffic (by using heavy-tailed...
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