Marginal costs of freeway traffic congestion with on-road pollution exposure externality

The health cost of on-road air pollution exposure is a component of traffic marginal costs that has not previously been assessed. The main objective of this paper is to introduce on-road pollution exposure as an externality of traffic, particularly important during traffic congestion when on-road pollution exposure is highest. Marginal private and external cost equations are developed that include on-road pollution exposure in addition to time, fuel, and pollution emissions components. The marginal external cost of on-road exposure includes terms for the marginal vehicle’s emissions, the increased emissions from all vehicles caused by additional congestion from the marginal vehicle, and the additional exposure duration for all travelers caused by additional congestion from the marginal vehicle. A sensitivity analysis shows that on-road pollution exposure can be a large portion (18%) of marginal social costs of traffic flow near freeway capacity, ranging from 4% to 38% with different exposure parameters. In an optimal pricing scenario, excluding the on-road exposure externality can lead to 6% residual welfare loss because of sub-optimal tolls. While regional pollution generates greater costs in uncongested conditions, on-road exposure comes to dominate health costs on congested freeways because of increased duration and intensity of exposure. The estimated marginal cost and benefit curves indicate a theoretical preference for price controls to address the externality problem. The inclusion of on-road exposure costs reduces the magnitudes of projects required to cover implementation costs for intelligent transportation system (ITS) improvements; the net benefits of road-pricing ITS systems are increased more than the net benefits of ITS traffic flow improvements. When considering distinct vehicle classes, inclusion of on-road exposure costs greatly increases heavy-duty vehicle marginal costs because of their higher emissions rates and greater roadway capacity utilization. Lastly, there are large uncertainties associated with the parameters utilized in the estimation of health outcomes that are a function of travel pollution intensity and duration. More research is needed to develop on-road exposure modeling tools that link repeated short-duration exposure and health outcomes.     

An assessment of the performance of the European long intermodal freight trains (LIFTS)

Intermodal rail/road freight transport has always been considered as a competitive alternative to its road freight counterpart in the European medium- to long-distance corridors (markets). Such consideration has been based on the increasing competitiveness of some innovative rail services and the existing and prospective performance of both modes in terms of the full social – internal or operational and external – costs. The most recent innovation of rail technologies and related services launched by some European railway companies, still at the conceptual level, is the Long Intermodal Freight Train (LIFT). This is supposed to be a block train operating in long-distance corridors (markets) with a substantial and regular freight demand.This paper develops analytical models for assessing the performance of the LIFTs, the already-operating Conventional Intermodal Freight Trains (CIFTs), and their road counterpart as well. The performance consists of the full – internal (private) and external – costs of the door-to-door delivery of loading units – containers, swap-bodies, and semi-trailers. The internal costs embrace the operational costs of the transport (rail and road) and intermodal terminal operators. The external costs include the costs of the impacts of door-to-door delivery of loading units on society and the environment. These negative externalities include noise, air pollution, traffic accidents, and congestion.The models are applied to a simplified version of intermodal and road transport system using inputs from the European freight transport sector. The aims are to compare the full costs of particular modalities in order to investigate the potential of the LIFTs as compared with the CIFTs in improving the internal efficiency of the rail freight sector and its competitiveness with respect to its road counterpart. In addition, the paper attempts to assess some effects on the potential modal shift of EU (European Union) transport policies on internalizing transport externalities.     

深圳地区软粘土变形参数研究

根据深圳地区15个软土处理工点的4000多组试验数据,对软土的物理指标和变形指标进行统计分析。结果表明:压缩系数、变形模量和压缩指数的变异系数很大,其算术平均值的误差较大,不宜直接用于工程计算;含水量的变异系数很小,且与压缩参数有良好的相关性,可以较好地推算软土变形参数。因此,建议在实际工程中,如果没有软土的变形实验数据,可以直接根据软土的含水量进行估算;对于有实验数据的情况,将实验得到的变形参数和根据土样含水量估算的变形参数进行比较,剔除与估算参数相差较大的试验数据,将余下的数据取平均作为所需要的变形参数。     

未开放代码整车系统间BOM传递方案研究及应用

整车企业系统之间,因为底层代码不开放,数据结构逻辑未知等困难,无法实现精准对接。致力于通过大数据分析,数据结构排列组合等方法,验证出未开放系统的底层数据逻辑,实现数据关键字段管理。得出工程数据系统关键字段,不仅包含业务信息,还存在内核字段的结论。在无法获知底层封装代码的情况下,找到一条系统间从数据本身研究数据底层逻辑结构的有效论证和系统开发方法,建立精准变更对接管理规则,实现数据快速准确传递。     

基于安全库存管理的钢板采购订单优化

为合理安排钢板采购，有效降低库存占用，开展基于安全库存管理的钢板采购订单（Purchase Order，PO）优化研究。基于钢板采购流程和采购目标，分析钢板安全库存影响因素。根据钢板管理业务流程，阐述钢板安全库存管理流程，对钢板PO进行优化，帮助船厂更好地实现钢板管理。     

汽车远程智能控制的研究

为满足人们对汽车更加智能化,人性化的需求,基于全球定位系统(GPS),人工智能技术以及智能手机控制技术等实现汽车的远程智能控制。文章将从国内外汽车智能控制发展现状,汽车远程智能控制如何实现,需要运用的技术点出发进行阐述,如何实现对汽车远程智能控制,以及实现汽车远程智能化控制后带来的便利进行描述。文章主要从汽车如何实现远程智能控制相关技术问题,以及其优缺点和未来发展前景。充分展现人工智能时代带来的便利,促进汽车自动驾驶的时代的到来。     

车辆阻力对站线坡度设计的影响研究

根据车辆所受基本阻力、曲线阻力、坡道阻力、风阻力、道岔阻力,建立车辆单位基本阻力模型及数学表达式,运用车辆参数及风阻力参数,对车辆相关状态进行分析计算,研究表明:线路纵坡即使为平坡,亦存在溜逸安全隐患,必须采取措施才能保证安全;对《站规》站线纵坡标准,进行安全评估,提出利用停车顶改善车辆停放状态的措施意见及计算办法;利用减速顶做功耗能可以提高装车线线路纵坡,从而满足定量快速装车或轨道衡计量系统的技术要求,为线路纵坡设计提供依据,拓宽站场调速设备应用领域,创新工程设计方法,为工程综合优化设计提供理论基础,供设计分析及计算参考。     

基于FSA的舰艇安全风险决策研究

舰艇装备系统结构复杂,在使用过程中,存在着各方面的安全风险。FSA是一种帮助制定合理的规则和提供可能的风险控制方案的综合性评价工具。当以维修作为风险控制的主要手段时,可以优化FSA循环的步骤,采取并行的方式,解决保障资源有限的维修决策问题。     

碳纤维布与钢板复合加固钢筋混凝土梁刚度分析

碳纤维布与钢板复合加固是一种新型的加固方法,可应用于桥梁等大跨度梁的加固。本文对12根碳纤维布与钢板复合加固钢筋混凝土梁进行了试验研究,结果表明,碳纤维布与钢板复合加固方法可较大幅度地提高钢筋混凝土梁的截面刚度,减小其变形。在试验研究的基础上,分析钢筋混凝土梁在碳纤维布与钢板复合加固后截面刚度的变化规律,并运用刚度解析法对截面刚度进行了计算,同时结合相关试验资料的统计分析,提出复合加固梁截面刚度的简化计算公式。其计算结果与试验结果吻合较好,可为实际工程应用提供参考。     

基于令牌环网络拓扑结构的地铁电动客车网络监控系统

列车网络控制系统目前已经成为城市轨道车辆控制的主要方案之一,该系统将车辆主要电气设备的监控信息通过网络连接的终端融合在一起,便于设备控制、维护和司机操作。本文介绍基于ARCnet网络技术以及令牌环传输协议的网络监控技术,最后介绍地铁电动客车的网络基本构成和节点控制方案。