检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:程国柱 孙秋月 刘玥波 陈纪龙 Guo-zhu CHENG;Qiu-yue SUN;Yue-bo LIU;Ji-long CHEN(School of Traffic and Transportation,Northeast Forestry University,Harbin 150040,China;School of Computer Science and Engineering,Jilin University of Architecture and Technology,Changchun 130114,China)
机构地区:[1]东北林业大学交通学院,哈尔滨150040 [2]吉林建筑科技学院计算机科学与工程学院,长春130114
出 处:《吉林大学学报(工学版)》2022年第12期2839-2844,共6页Journal of Jilin University:Engineering and Technology Edition
基 金:黑龙江省自然科学基金项目(LH2020G002).
摘 要:为解决城市道路变道切入行为带来的交通安全和道路拥堵问题,研究了变道切入行为在城市道路中的决策模型。在考虑安全收益、速度收益和变道收益的基础上,量化博弈双方的收益,并结合驾驶人变道意图给出变道切入行为中变道车和目标车道后车的收益函数,构建非合作博弈模型并求纳什均衡解;对模型中的收益参数进行标定,使用NGSIM数据进行模型校对。研究结果表明:模型对于城市道路变道车和邻后车的决策行为具有良好的拟合度,强制性变道切入行为中变道车和邻后车决策行为变量的RMSE分别为0.1385和0.4361,自由性变道切入行为中RMSE分别为0.2278和0.1748;在博弈行为中,安全收益比换道收益对变道车驾驶人的决策影响更大,其中自由性变道切入行为中更加明显;而速度收益始终比安全收益对邻后车驾驶人的决策影响更大,收益权重为0.9和0.1。In order to solve the problem of traffic safety and traffic congestion caused by cut-in behavior on urban roads,the decision model of cut-in behavior was proposed in the traditional environment and network environment.Considering the safety gain,speed gain and lane-changing gain,the benefits of both parties in the game were quantified,and the benefit function of lane-changing vehicle and lag vehicle in cut-in behavior was given to obtain a game model and the Nash equilibrium solution in view of the driver's intention to change lanes.The model was calibrated and tested using NGSIM data.The results show that the model has a good fitting degree for the decision behavior of lane change vehicles and lag vehicles on urban roads.RMSE of the decision behavior variables of lane-changing vehicles and lag vehicles are 0.1385 and 0.4361 for mandatory lane change cut-in behavior,and 0.2278 and 0.1748 for discretionary cut-in behavior,respectively.In the game behavior,the safety gain has a greater influence on the driver's decision than the lane-changing gain,and the discretionary behavior is more obvious.However,the speed gain always has a greater influence on the decision-making of the drivers behind than the safety gain,and the gain weight is 0.9 and 0.1.
关 键 词:交通运输系统工程 变道模型 混合策略博弈 变道切入行为
分 类 号:U491[交通运输工程—交通运输规划与管理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.225.234.109