纯电动公交客车的能量快速补充及相关分析——以恒通CKZ6127HBEV快速充电式电动客车为例

本文主要介绍了恒通CKZ6127HBEV快速充电式电动客车,电动客车常用的充电方式的特点,电动客车的电能消耗量和相应动力电池储能量需求的计算,对快速充电电池的要求,快速充电的特点以及恒通CKZ6127HBEV快速充电式电动客车示范运行的请况.     

构建和完善港口基础设施系统投融资体制

在分析当前我国港口基础设施系统投融资体制现状的基础上,根据公共经济学理论对港口设施系统要素按投资来源、投资方式进行了合理划分,并充分借鉴国外港口建设的投融资体制,提出应根据不同类型项目分类融资的思想,最后给出了建立与完善市场经济条件下港口投融资体制的具体建议。     

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车路协同系统能实时获取车辆个体的运行状态信息,并能通过速度引导实现车辆与交通控制系统之间的动态交互,为交通信号控制提供了新的数据源和技术手段.分析了现有车路协同下交通信号控制方法存在的不足,引入基于时间窗的滚动预测方法,提出了改进的交叉口信号控制优化流程;将相位饱和度作为表征信号控制效果的指标,在考虑速度引导对车辆运行状态影响基础上,建立了车路协同环境下道路交叉口信号控制优化方法和模型.运用VISSIM软件进行了仿真实验,结果表明,本文方法优于感应控制方法,在各种交通流量下均能有效降低交叉口平均延误和停车次数.     

Y电容对电动汽车电气安全的影响分析

阐述了Y电容在电动汽车上的表现形式与其在国标、行标中与安全相关的设计要求,分析了其在整车电气安全方面对单点失效工况触电风险、整车绝缘电阻及绝缘监测测量精度的影响,之后针对充电工况分析了Y电容对该工况下的触电风险、充电桩端绝缘监测测量精度及大功率充电安全的影响,并给出了避免Y电容不良影响的设计建议。     

The suitability of hedonic models for cost-benefit analysis: Evidence from commuting flows

We compare two estimates of benefits arising from the construction of new bridges in south-west Norway. One estimate comes from a hedonic property value model. Rather than follow an approach which is strictly theoretically correct, we adopt Rosen’s simple first-stage approach. To investigate and validate whether this simplified approach gives a reasonable estimate, we compare it to an estimate derived from a travel demand model. We find that a variant of an ex post hedonic house price model gives very similar estimates to the estimates from the travel demand model. This supports a hypothesis that the simplistic hedonic approach is reasonable.     

土木规划的规划环境与规划政策研究

研究目的：土木规划是以社会公共基础设施为对象，本着统筹、系统的思想，利用土木工程技术与系统科学方法进行的规划。但就我国目前土木规划领域的现状来看，无论是在“规划环境”方面还是“规划政策”方面，都存在着一定的问题。本文的目的在于通过对我国土木规划的规划环境与规划政策的研究，促进土木规划在我国的科学化、体系化发展。研究方法：本文聚焦于我国的交通基础设施，系统地整理和分析了我国土木规划的历史与现状，包括政府与市场的角色定位、规划体制、法律法规的情况，同时介绍了国外的经验，揭示了存在的问题。研究结果：提出我国要走科学的“土木规划”道路，在规划环境上应改革规划体制，完善立法，建立多层次的基础设施体系；在规划政策上应努力拓宽资金渠道，加强综合规划等。研究结论：揭示了在我国开展土木规划研究的重要性和必要性，土木规划相关研究的不断深入，必将促进我国的土木规划水平的提高。     

关于海事基础设施建设中的招投标管理

工程造价管理,贯穿于海事基础设施建设的全过程。而招投标阶段的造价控制,不仅能有效消除因项目前期深度、设计精度问题带来的造价不确定因素,也会为施工阶段的造价控制打下良好的基础,作者通过对影响招标投标阶段工程造价诸多因素的分析研究,提出有效控制工程造价的方法和建议,供广大同行参考。     

快速路与邻接交叉口分散换道和速度引导方法

研究车路协同城市快速路与邻接交叉口主线分散换道和速度引导自适应控制方法. 对高饱和度入口匝道与邻接交叉口，提出主线分散换道自适应控制方法，依据合流区上游不同车道密度制定换道规则，以主线流量最大化为目标确定邻接交叉口相位相序；对出口匝道存在超长排队，提出主线速度引导自适应控制方法，依据主线上游车辆目的地确定速度引导策略，以出口匝道需求与通行能力相匹配为目标确定出口匝道关联相位优先权. 采用元胞自动机模型仿真验证，结果表明，所提方法与非协调控制、传统协调控制、车路协同交叉口自适应控制相比，区域流量分别提高17.38%、5.52%、10.06%，总时间消耗分别下降35.86%、 26.21%、17.39%.     

The underground economy: Tracking the higher-order economic impacts of the São Paulo Subway System

Over one million workers commute daily to São Paulo City center, using different modes of transportation. The São Paulo subway network reaches 74.2 km of length and is involved in around 20% of the commuting trips by public transportation, enhancing mobility and productivity of workers. This paper uses an integrated framework to assess the higher-order economic impacts of the existing underground metro infrastructure. We consider links between mobility, accessibility and labor productivity in the context of a detailed metropolitan system embedded in the national economy. Simulation results from a spatial computable general equilibrium model integrated to a transportation model suggest positive economic impacts that go beyond the city limits. While 32% of the impacts accrue to the city of São Paulo, the remaining 68% benefit other municipalities in the metropolitan area (11%), in the State of São Paulo (12.0%) and in the rest of the country (45%).     

Integrated planning of static and dynamic charging infrastructure for electric vehicles

This paper investigates the optimal deployment of static and dynamic charging infrastructure considering the interdependency between transportation and power networks. Static infrastructure means plug-in charging stations, while the dynamic counterpart refers to electrified roads or charging lanes enabled by charging-while-driving technology. A network equilibrium model is first developed to capture the interactions among battery electric vehicles’ (BEVs) route choices, charging plans, and the prices of electricity. A mixed-integer bi-level program is then formulated to determine the deployment plan of charging infrastructure to minimize the total social cost of the coupled networks. Numerical examples are provided to demonstrate travel and charging plans of BEV drivers and the competitiveness of static and dynamic charging infrastructure. The numerical results on three networks suggest that (1) for individual BEV drivers, the choice between using charging lanes and charging stations is more sensitive to parameters including value of travel time, service fee markup, and battery size, but less sensitive to the charging rates and travel demand; (2) deploying more charging lanes is favorable for transportation networks with sparser topology while more charging stations can be more preferable for those denser networks.