2005 年 6 巻 p. 4253-4268
After a severe earthquake, the roadway systems usually will get different levels of damage, and thus the capacity of those roadways will be reduced, which will cause the traffic congestion. How to maintain traffic functions reasonably to facilitate saving more lives will be the utmost mission task after quakes. This paper aims at providing appropriate traffic control strategies in response to various situations occurred in earthquake disaster areas. The study proposes a fuzzy multi-objective programming to represent the real situations and generate corresponding traffic control strategies. The strategies are expected to guide the emergency vehicles and control other disturbing traffic flows in/out the disaster areas. The objective of the model is to allow as many non-rescue vehicles to enter the disaster areas as possible based on two conditions: do not delay the moving of rescue vehicles and do not exceed the left available roadway capacity. Since the decision process of this traffic control problem is similar to the static two people Stackelberg game (regulators and road users), it is formulated as a bi-level fuzzy multi-objective optimization model. To prove the feasibility, this paper has conducted a numerical case study using a small sample data from the earthquake-raided areas. To solve the model efficiently, the fuzzy set theory been applied to solve the model. A numerical example shows that this study can create an effective way to implement traffic regulation during earthquake disaster.
