Transit network design with allocation of green vehicles: A genetic algorithm approach

The use of fossil fuels in transportation generates harmful emissions that accounts for nearly half of the total pollutants in urban areas. Dealing with this issue, local authorities are dedicating specific efforts to seize the opportunity offered by new fuels and technological innovations in achieving a cleaner urban mobility. In fact, authorities are improving environmental performances of their public transport fleet by procuring cleaner vehicles, usually called low and zero emission vehicles (LEV and ZEV, respectively). Nevertheless there seems to be a lack of methodologies for supporting stakeholders in decisions related to the introduction of green vehicles, whose allocation should be performed since the network design process in order to optimize their available green capacity.In this paper, the problem of clean vehicle allocation in an existing public fleet is faced by introducing a method for solving the transit network design problem in a multimodal, demand elastic urban context dealing with the impacts deriving from transportation emissions.The solving procedure consists of a set of heuristics which includes a routine for route generation and a genetic algorithm for finding a sub-optimal set of routes with the associated frequencies.     

Multi‐objective highway alignment optimization using a genetic algorithm

The available highway alignment optimization algorithms use the total cost as the objective function. This is a single objective optimization process. In this process, travel‐time, vehicle operation accident earthwork land acquisition and pavement construction costs are the basic components of the total cost. This single objective highway alignment optimization process has limited capability in handling the cost components separately. Moreover, this process cannot yield a set of alternative solutions from a single run. This paper presents a multi‐objective approach to overcome these shortcomings. Some of the cost components of highway alignments are conflicting in nature. Minimizing some of them will yield a straighter alignment; whereas, minimizing others would make the alignment circuitous. Therefore, the goal of the multiobjective optimization approach is to handle the trade‐off amongst the highway alignment design objectives and present a set of near optimal solutions. The highway alignment objectives, i.e., cost functions, are not continuous in nature. Hence, a special genetic algorithm based multi‐objective optimization algorithm is suggested The proposed methodology is demonstrated via a case study at the end.     

市政道路工程造价的有效控制

文章从当前市政道路工程造价文件的编制依据、造价从业人员的素质以及项目建设各阶段呈现的投资控制问题出发,提出实现市政道路工程造价有效控制的措施,为市政道路工程造价管理提供参考。     

京沪高速泰安段大修工程路面排水设计

路面排水是否通畅,对路面各种病害的产生和发展具有决定性因素,通过路表排水设计、沥青混凝土路面结构选型及抗渗性设计和路面结构内部防排水系统设计等方面完善路面排水系统,对高速公路的正常运行和行车安全具有重大意义。     

二灰碎石基层冷再生施工技术应用

利用旧路面基层获取铣刨料,添加新鲜骨料、结合料后进行再生混合料级配组成及配合比设计。利用二灰比、集料含量与28d劈裂强度关系方程,对配合比进行验证。着重阐述了混合料拌和工艺及连续式拌和设备成品料仓的改进。在拌和、摊铺、压实、养生等工艺上对再生混合料的施工提出控制要点及质量控制措施。     

互通立交设计误区及对策研究

对互通立交设计中存在的误区进行探讨,并研究对策。寻找正确的设计方法,使广大的设计工作者能够真正的把"以人为本,安全至上"的公路设计理念应用到互通立交设计中。     

自密实混凝配合比设计方法研究

研究了自密实混凝土(SCC)的配合比设计方法。试验证实,一般高性能混凝土(HPC)的配合比设计方法难以适用于自密实混凝土;本文提出了以经验数据为基础的设计方法—经验推导法,可以设计出满足自密实混凝土性能要求的配合比方案。     

基于规范的牺牲阳极阴极保护优化设计方法

牺牲阳极阴极保护设计缺乏针对单块阳极形状尺寸和整体方案的优化方法。为解决此问题,首先引入细长系数和扁平系数的概念;然后基于规范推导无涂层时牺牲阳极形状尺寸与所需牺牲阳极总数量和总质量之间的关系;接着利用结构物的极化要求和牺牲阳极材料的消耗要求等确定牺牲阳极形状尺寸的可行域;最后结合经济性指标建立完整的优化问题模型并给出求解方法。此优化设计方法能够确定牺牲阳极形状尺寸和获得经济性最优的整体方案。     

秦淮河航道整治中的水下爆破技术

阐述了覆盖层秦淮河对戴家岗段航道水下钻孔爆破的影响,介绍了内河航道水下钻孔爆破的设计与施工工艺,并提出了相应的解决方法.     

欧标EN1992-1-1:2004与中国规范JTS 151—2011的异同

众多的海外设计项目要求设计者了解和掌握欧美的设计标准,通过项目设计实践,总结了欧洲设计标准体系之一的混凝土结构设计规范：EN1992-1-1:2004与我国标准JTS 151—2011 在设计原则与方法、材料特性、荷载系数、荷载组合、承载力计算等方面的异同点,供同行参考。