摘要
在介绍城市交通网络设计和概率用户平衡配流模型基本思想和内容的基础上,建立了考虑可靠性条件的城市交通网络设计双层规划模型,上层模型在投资约束条件下寻求系统总阻抗最小,下层模型兼顾路段能力可靠性与用户平衡配流条件,从而使城市交通网络备用能力最大,并针对该问题设计了可求得局部或全局最优解的混沌优化启发式算法,最后选用一个小型网络作为算例进行验证。结果说明该模型有一定的实际应用价值且设计的混沌优化算法也较为有效。
At first, the theory and content of urban transport network design and probabilistic user equilibrium assignment model were introduced. Then, the urban transport network design model under reliability constraint was designed; in this bilevel programming model, the upper model pursued system impedance minimum under investment constraint, the lower model made network reserve capacity maximum with reliability and user equilibrium constraint, and a chaotic heuristic algorithm was presented to solving this problem which could get local or global optimal solution. Finally, a small network example was illustrated and analyzed. The result illustrates that the model can be applied into the reality urban transport and the algorithm is valid in this problem.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2006年第2期86-90,共5页
China Journal of Highway and Transport
基金
国家自然科学基金项目(70471088)
国家杰出青年科学基金项目(70225005)
北京市自然科学基金项目(9042006)
关键词
交通工程
城市交通网络设计
双层规划模型
能力可靠性
混沌优化算法
traffic engineering
urban transport network design
bilevel programming model
capacity reliability
chaotic optimization algorithm