2011 Fiscal Year Final Research Report
Congestion and prediction : boundedly rational decision maker
| Project/Area Number |
21510157
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Keio University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | 混雑課金 / 限定合理性 / ネットワーク / 経営科学 |
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| Research Abstract |
This research develops methods to mitigate a congestion problem when the customer behavior depends dynamically on the congestion level. To be more specific, we first construct an equilibrium model of the behavior of customers trying to avoid the congestion. We then analyze how congestion pricing and priority assignment, two methods of congestion control, influence the customers' equilibrium behavior. There are two main results. First, we provide a clear interpretation of the second-best congestion pricing. Second, we show that, even if customers are homogeneous(i. e., there is no urgent customer), the priority assignment is an effective method of congestion control of network-based service systems. These results provide a new insight into and a means for congestion control.
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