摘要
提出了停车换乘条件下组合出行的广义费用表达式,基于Logit模型建立了多模式交通超网络条件下随机用户平衡(Stochastic user equilibrium,SUE)模型,采用连续权重平均法(Method of successive weight average,MSWA)对模型进行求解,并通过一个算例验证了模型和算法的有效性。结果表明:在求解SUE模型时,MSWA法优于迭代加权法(Method of successive average,MSA);本模型和算法有助于确定停车换乘站点的位置、停车换乘的停车费和自行车租赁费。
A cost function with combined trip under park and ride was put forward. Then Stochastic User Equilibrium （SUE） model was proposed under the condition of multi-modal traffic super- network based on the Logit model. The proposed model was solved with the Method of Successive Weight Average （MSWA）. A case study was conducted to verify the feasibility of the model and the algorithm. The results show that the MSWA is superior to the Method of Successive Average （MSA） when solving Logit-SUE model. The model and the algorithm can be used to determine the reasonable parking position and riding site. They can also be used to estimate the reasonable range of parking fee in car park and the rental cost when transferring to bicycles.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2013年第6期1465-1470,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
'973'国家重点基础研究发展计划项目(2012CB725403)
国家自然科学基金面上项目(51178032)
中央高校基本科研业务费专项基金项目(2013YJS047)
关键词
交通运输系统工程
停车换乘
组合出行
随机用户平衡
连续权重平均法
engineering of communications and transportation system
park and rider combined trip
stochastic user equilibrium
method of successive weight average
