An optimization model and its solution algorithm for alternate traffic restriction(ATR) schemes were introduced in terms of both the restriction districts and the proportion of restricted automobiles. A bi-level progr...An optimization model and its solution algorithm for alternate traffic restriction(ATR) schemes were introduced in terms of both the restriction districts and the proportion of restricted automobiles. A bi-level programming model was proposed to model the ATR scheme optimization problem by aiming at consumer surplus maximization and overload flow minimization at the upper-level model. At the lower-level model, elastic demand, mode choice and multi-class user equilibrium assignment were synthetically optimized. A genetic algorithm involving prolonging codes was constructed, demonstrating high computing efficiency in that it dynamically includes newly-appearing overload links in the codes so as to reduce the subsequent searching range. Moreover,practical processing approaches were suggested, which may improve the operability of the model-based solutions.展开更多
传统电动汽车充电负荷建模通常采用对电动汽车个体进行抽样模拟的方式,未能从分析机理的角度描述电动汽车群体相互作用形成的宏观运行状态。为此,提出一种基于半动态交通均衡模型和组合荷电状态(combined states of the charge,CSOC)概...传统电动汽车充电负荷建模通常采用对电动汽车个体进行抽样模拟的方式,未能从分析机理的角度描述电动汽车群体相互作用形成的宏观运行状态。为此,提出一种基于半动态交通均衡模型和组合荷电状态(combined states of the charge,CSOC)概率计算的电动汽车充电负荷概率分布计算方法。首先,分析电动汽车的交通特性和充电特性,并提出一种可行路径集构建方法;然后,引入交通均衡理论进行电动汽车空间分布建模,建立考虑随机效用的半动态交通均衡模型,实现宏观交通流均衡分配。进一步地,从理论层面分析电动汽车群的荷电状态变化,建立基于CSOC的充电负荷概率分布计算模型。最后,分别在13节点路网和实际大路网中验证所提方法的有效性,并分析了电动汽车渗透率和路网结构对充电负荷概率分布的影响。展开更多
采用遗传算法对动态交通网络平衡微分博弈模型进行求解,将动态混合行为交通网络平衡模型构造为一个开环信息结构下N个局中人非合作非零和博弈,并考虑了一个单OD对之间有两个平行弧的简单网络和两类局中人——用户平衡(UE)和古诺-纳升(C...采用遗传算法对动态交通网络平衡微分博弈模型进行求解,将动态混合行为交通网络平衡模型构造为一个开环信息结构下N个局中人非合作非零和博弈,并考虑了一个单OD对之间有两个平行弧的简单网络和两类局中人——用户平衡(UE)和古诺-纳升(C-N)——在拥挤现象中的相互作用,针对此简单网络阐明了遗传算法求解模型的具体步骤。遗传算法求解不必要求目标函数连续可微,大大提高了模型的适用性。通过算例对所设计的算法进行了验证,在算例中将Wie BW(1993)的研究中部分参数取值作了修改,使其更加合乎交通实际,并将计算结果与Wie B W(1993)采用最小值原理计算结果进行了对比分析,通过对比分析表明,其计算结果更符合交通实际。展开更多
基金Projects(71171200,51108465,71101155)supported by the National Natural Science Foundation of China
文摘An optimization model and its solution algorithm for alternate traffic restriction(ATR) schemes were introduced in terms of both the restriction districts and the proportion of restricted automobiles. A bi-level programming model was proposed to model the ATR scheme optimization problem by aiming at consumer surplus maximization and overload flow minimization at the upper-level model. At the lower-level model, elastic demand, mode choice and multi-class user equilibrium assignment were synthetically optimized. A genetic algorithm involving prolonging codes was constructed, demonstrating high computing efficiency in that it dynamically includes newly-appearing overload links in the codes so as to reduce the subsequent searching range. Moreover,practical processing approaches were suggested, which may improve the operability of the model-based solutions.
文摘传统电动汽车充电负荷建模通常采用对电动汽车个体进行抽样模拟的方式,未能从分析机理的角度描述电动汽车群体相互作用形成的宏观运行状态。为此,提出一种基于半动态交通均衡模型和组合荷电状态(combined states of the charge,CSOC)概率计算的电动汽车充电负荷概率分布计算方法。首先,分析电动汽车的交通特性和充电特性,并提出一种可行路径集构建方法;然后,引入交通均衡理论进行电动汽车空间分布建模,建立考虑随机效用的半动态交通均衡模型,实现宏观交通流均衡分配。进一步地,从理论层面分析电动汽车群的荷电状态变化,建立基于CSOC的充电负荷概率分布计算模型。最后,分别在13节点路网和实际大路网中验证所提方法的有效性,并分析了电动汽车渗透率和路网结构对充电负荷概率分布的影响。
文摘采用遗传算法对动态交通网络平衡微分博弈模型进行求解,将动态混合行为交通网络平衡模型构造为一个开环信息结构下N个局中人非合作非零和博弈,并考虑了一个单OD对之间有两个平行弧的简单网络和两类局中人——用户平衡(UE)和古诺-纳升(C-N)——在拥挤现象中的相互作用,针对此简单网络阐明了遗传算法求解模型的具体步骤。遗传算法求解不必要求目标函数连续可微,大大提高了模型的适用性。通过算例对所设计的算法进行了验证,在算例中将Wie BW(1993)的研究中部分参数取值作了修改,使其更加合乎交通实际,并将计算结果与Wie B W(1993)采用最小值原理计算结果进行了对比分析,通过对比分析表明,其计算结果更符合交通实际。
