摘要
引入元胞传输模型研究动态网络交通流条件下的交叉口信号控制问题,以均衡交叉口各流向的能力为目标,分别建立了固定信号配时方法和动态信号配时方法。为了验证提出的信号控制方法的有效性,利用Cross-nested Logit模型构建了动态随机路径选择模型来获得动态随机用户均衡的交通环境;以该环境为基础在Sioux Falls网络上进行了数值试验。结果表明:动态信号配时方法比固定信号配时方法对于提高网络平均行程速度以及抑制交通拥堵更为有效,特别是平衡交通环境受到扰动时,动态信号配时方法的应用效果更为明显。
The cell transmission model was applied to the study of signal control problem under dynamic network traffic situation at intersections. Taking equilibrium of the capacity of each flow direction at intersection as objective, authors proposed a fixed signal timing method and a dynamic signal timing method. In order to verify validity of the proposed methods, a dynamic stochastic route choice model based on Cross-nested Logit model was employed to generate traffic environment of dynamic stochastic user equilibrium. Within this environment, some numerical examples were tested in Sioux Falls network. The results show that dynamic signal timing method is more effective on improving network average journey velocity and alleviating traffic congestion than the fixed signal timing method. Specially, when the equilibrium traffic environment was disturbed, the merits of dynamic signal timing method are more remarkable.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2009年第4期108-114,121,共8页
China Journal of Highway and Transport
基金
国家重点基础研究发展计划("九七三"计划)项目(2006CB705500)
国家自然科学基金项目(70631001)
教育部高等学校博士学科点专项科研基金项目(20050004005)
北京交通大学优秀博士生科技创新基金项目(48040)
关键词
交通工程
信号控制
元胞传输模型
信号配时方法
动态随机用户均衡
traffic engineering
signal control
cell transmission model
signal timing method
dynamic stochastic user equilibrium