基于斯塔克尔伯格博弈的路网均衡交通分配方法 | |
袁长伟 ; 蔚欣欣 ; 陆化普 ; 卞长志 ; YUAN Chang-wei ; YU Xin-xin ; LU Hua-pu ; BIAN Chang-zhi | |
2010-06-07 ; 2010-06-07 | |
关键词 | 交通工程 交通分配 斯塔克尔伯格博弈 用户均衡 广义乘子法 traffic engineering traffic assignment Stackelberg game user equilibrium generalized Lagrange multiplier method U491.123 |
其他题名 | Road Network Equilibrium Traffic Assignment Method Based on Stackelberg Game |
中文摘要 | 为探讨更加符合实际的路网均衡交通分配方法,区别于传统的以用户效用最大化为目标、根据Wardrop均衡准则进行交通分配的方法,引入博弈论,假设路网上有2种用户,一种使用混合策略Nash均衡准则,另一种使用系统最优准则,据此假设建立基于斯塔克尔伯格博弈模型的路网均衡交通分配方法,并将目标函数转化为单层规划问题,采用广义乘子法求解。算例结果表明:斯塔克尔伯格博弈模型比用户最优模型的系统效率更高,接近于系统最优,但比系统最优更符合现实情况,也表明路网上存在部分按照路径诱导信息行驶的使用者会提高交通系统效率。; In order to propose more realistic equilibrium traffic assignment method and distinguish traditional traffic assignment method based on the classical Wardropian principle assuming that users minimize either individual travel cost or overall system cost,authors adopted game theory and presented a Stackelberg routing game on the network which the system optimization player is the leader and the mixed-strategy Nash equilibrium players are the followers.Based on Stackelberg model,the road network equilibrium traffic assignment method was discussed,and the generalized Lagrange multiplier method was used to calculate objective function which was transferred into a single-level planning.The example result shows that the efficient of Stackelberg model is higher than that of the user-optimal system,which closes to system optimization,but more closes to reality easily.It indicates users that follow the route guidance information will improve the efficiency of transport system.; 国家高技术研究发展计划(“八六三”计划)项目(2007AA11Z202); 国家自然科学基金青年科学基金项目(50808022) |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/45797] |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 袁长伟,蔚欣欣,陆化普,等. 基于斯塔克尔伯格博弈的路网均衡交通分配方法[J],2010, 2010. |
APA | 袁长伟.,蔚欣欣.,陆化普.,卞长志.,YUAN Chang-wei.,...&BIAN Chang-zhi.(2010).基于斯塔克尔伯格博弈的路网均衡交通分配方法.. |
MLA | 袁长伟,et al."基于斯塔克尔伯格博弈的路网均衡交通分配方法".(2010). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论