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基于双层规划的拥挤定价模型及算法
引用本文:陈来荣,张岚.基于双层规划的拥挤定价模型及算法[J].北京工业大学学报,2006,32(6):526-529.
作者姓名:陈来荣  张岚
作者单位:北京工业大学,北京市交通工程重点实验室,北京,100022;北京林业大学,工学院,北京,100083;北京工业大学,北京市交通工程重点实验室,北京,100022
基金项目:北京市科委科技项目(H020620220031).
摘    要:城市道路拥挤定价具有双层特性,上层为城市交通管理部门,下层为道路使用者.本文假设用户出行成本仅与出行时间相关,应用双层规划模型建立拥挤定价模型,并讨论双层规划模型的遗传算法.研究表明,双层规划模型能有效解决复杂的拥挤定价问题,遗传算法收敛较快,容易实现计算精度要求.

关 键 词:城市交通  拥挤定价  双层规划模型  遗传算法
文章编号:0254-0037(2006)06-0526-04
收稿时间:02 17 2005 12:00AM
修稿时间:2005年2月17日

Congestion Pricing Model and Algorithm Based on Bilevel Programming Model
CHEN Lai-rong,ZHANG Lan.Congestion Pricing Model and Algorithm Based on Bilevel Programming Model[J].Journal of Beijing Polytechnic University,2006,32(6):526-529.
Authors:CHEN Lai-rong  ZHANG Lan
Affiliation:1. Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing 100022, China; 2. School of Technology, Beijing Forestry University, Beijing 100083, China
Abstract:Congestion pricing has bilevel characteristic, in which the upper level is the urban traffic administrative department and the lower level is the users. The essay applied bilevel programming model to build up congestion pricing model under the assumption that travel cost only relates to travel time. The genetic algorithm was discussed to solve the problem of the programming model in the essay. Results show that bilevel programming model can effectively solve problems of complicated congestion pricing and that the genetic algorithm can quickly converge, and can meet the needs of model precision.
Keywords:urban traffic  congestion pricing  bilevel programming model  genetic algorithm
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