论文部分内容阅读
随着出行需求和机动车保有量的迅猛增加,城市道路不堪重负,不仅交通拥堵严重,同时大量的尾气排放更造成了严重的空气环境污染问题.本文在传统的道路收费研究中明确加入排放约束或目标,建立了一系列带均衡约束的数学规划双层决策模型,探讨多模式混合交通网络下如何通过经济手段诱导人们选择更环保的出行模式和更合理的出行路径,以同时达到缓解交通拥堵和降低尾气排放的目的.模型下层考虑多模式之间的相互影响,运用变分不等式描述个体出行者的模式路径选择;上层根据不同的管理目标构建数学规划模型.采用遗传模拟退火算法对数值算例进行求解,结果显示了道路收费对系统各种指标的影响和改善.
With the rapid increase of travel demand and the number of motor vehicles, urban roads are overwhelmed, not only serious traffic congestion, but also a large number of exhaust emissions have caused serious air pollution problems.This paper clearly included in the traditional road charging emissions constraints Or goal, a series of mathematical decision-making bilevel decision models with equilibrium constraints are established to explore how to induce people to choose more environmentally friendly modes of travel and more reasonable travel routes through economic means in a multi-modal mixed traffic network so as to simultaneously mitigate traffic congestion And to reduce the emission of tail gas.The lower layer of the model considers the mutual influence among multiple modes and uses variational inequalities to describe the mode path selection of individual travelers.The upper layer constructs the mathematical programming model according to different management objectives.The genetic simulated annealing algorithm For example, the solution shows that the impact of road tolls on various indicators of the system and improvement.