【作者】 吕林剑；

【导师】 寇玮华；

【作者基本信息】 西南交通大学 ， 交通运输规划与管理， 2012， 硕士

【摘要】 伴随社会经济迅猛发展,城市交通拥堵问题日趋严重,公共交通地位日益突显。如何更加科学合理地制定公交调度方案,提高公交服务水平,达到缓解交通拥堵的目的,已成为当今城市发展中的一个重要课题。本文通过对公交乘客流的构成进行分析来研究公交调度优化问题。主要是将公交乘客分为非准乘客与准乘客,然后分别针对非准乘客与准乘客所造成公交线路拥挤问题,各自建立公交调度优化模型。首先,本文对公交乘客流的特性和公交乘客信息的采集方法进行了综述,分析了目前所采用的公交乘客流信息采集方法的优缺点,并拟用改进的公交IC卡乘客流信息采集方法来作为本文公交乘客流信息采集的方法。接着,针对公交调度中所需要的客流信息,分析了公交乘客流信息处理的方法；针对乘客流构成的划分,设计了非准乘客和准乘客的判别方法。最后,文章先是对公交车辆调度模式和确定的方法进行了分析；然后分别针对非准乘客与准乘客,选择合理的调度模式并建立公交调度优化模型。其中,针对非准乘客,本文建立了基于跨线联运调度模式的网络优化模型,并运用特定情况下的最长路算法对模型进行求解；针对准乘客,本文建立了基于区间车和全程车混合调度模式下的发车间隔优化模型,并运用遗传算法对模型进行求解。另外,在每个模型求解之后,文章中也都设计了算例对模型的可行性进行了验证。更多还原

【Abstract】 With the rapid development of the society and economy, urban traffic congestion problems have been increasingly serious, public transport becomes ever more crucial. An important issue in current city development is how to alleviate traffic congestion with scientific and rational bus scheduling scheme and higher bus service level.Optimal bus scheduling problems are researched by analyzing bus passenger flow constitutes. This paper divides bus passengers into transfer passengers and no-transfer passengers; establishes optimal bus dispatching models aiming at crowded bus lines caused by transfer passengers and no-transfer passengers.First, this article discusses the characteristic of bus passenger flow and information collection method, analyzes the advantages and disadvantages of bus passengers flow information collection methods and employs improved IC card passenger flow information collection methods to as this paper bus passengers flow information collection methods.Then, according to requisite message in bus dispatching, this paper analyzes the processing method of bus passengers flow information and formulates discrimination method of transfer passengers and no-transfer passengers.Last, this paper analyzes bus scheduling model and its determining method. Choose reasonable scheduling model and establish bus scheduling optimization model respectively on transfer and no-transfer passengers. This paper establishes cross-line intermodal scheduling mode for the situation of more transfer passengers and uses longest path algorithm under particular circumstances to solve the model. For the other situation of more no-transfer passengers, this paper develops departure intervals optimization model based on mix scheduling model of zone scheduling and regular scheduling, uses genetic algorithm to solve the model next. In addition, examples are designed to verify the feasibility after every solved model.更多还原