Intermodal transport in freight distribution: a literature review

There has been significant growth in research on intermodal transport in freight distribution since the 1990s. Differentiating itself from previously published literature reviews, this paper evaluates the current state of this research using Systematic Literature Review methodology. The complementary aims are: (a) to identify the research lines developed and to propose a criterion for classifying the literature, and (b) to discuss the empirical evidence that identifies existing interrelationships. The analysis has enabled three main lines of research to be identified. The first research line, basic principles of intermodal transport, groups together works related to the definition of intermodal transport and the results obtained using this transportation system. The second, improvements to the way that intermodal transport systems work, frames elements and variables that impact intermodal transport systems’ logistics efficiency, such as quality of service, information and communication systems, and freight planning and linkages among system operators to provide an adequate service. Finally, the third line, intermodal transport system modelling, identifies the main variables used to optimise these transport systems, the different focuses and approaches used in modelling, and the advantages and disadvantages of each focus. These research lines take in more specific sublines that incorporate articles that develop related research questions. Lastly, the discussion of the content of each of these research sublines enables us to identify gaps in the literature and comment on directions for future research.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

Heterogeneous hazard model of PEV users charging intervals: Analysis of four year charging transactions data

Public charging infrastructure represents a key success factor in the promotion of plug-in electric vehicles (PEV). Given that a large initial investment is required for the widespread adoption of PEV, many studies have addressed the location choice problem for charging infrastructure using a priori simple assumptions. Ideally, however, identifying optimal locations of charging stations necessitates an understanding of charging behavior. Limited market penetration of PEV makes it difficult to grasp any regularities in charging behavior. Using a Dutch data set about four-years of charging transactions, this study presents a detailed analysis of inter-charging times. Recognizing that PEV users may exhibit different charging behavior, this study estimates a latent class hazard duration model, which accommodates duration dependence, unobserved heterogeneity and the effects of time-varying covariates. PEV users are endogenously classified into regular and random users by treating charging regularity as a latent variable. The paper provides valuable insights into the dynamics of charging behavior at public charging stations, and which strategies can be successfully used to improve the performance of public charging infrastructure.     

Closed-form multiclass cell transmission model enhanced with overtaking,lane-changing,and first-in first-out properties

A novel multiclass macroscopic model is proposed in this article. In order to enhance first-in, first-out property (FIFO) and transmission function in the multiclass traffic modeling, a new multiclass cell transmission model with FIFO property (herein called FM-CTM) is extended from its prior multiclass cell transmission model (M-CTM). Also, to enhance its analytical compactness and resultant computational convenience, FM-CTM is formulated in this paper as a set of closed-form matrix equations. The objective is to improve the accuracy of traffic state estimation by enforcing FIFO property when a fast vehicle cannot overtake a slow vehicle due to a limitation of a single-lane road. Moreover, the proposed model takes into account a different priority for vehicles of each class to move forward through congested road conditions, and that makes the flow calculation independent from their free-flow speeds. Some hypothetical and real-world freeway networks with a constant or varying number of lanes are selected to verify FM-CTM by comparing with M-CTM and the conventional CTM. Observed densities of VISSIM and real-world dataset of I-80 are selected to compare with the simulated densities from the three CTMs. The numerical results show that FM-CTM outperforms the other two models by 15% of accuracy measures in most cases. Therefore, the proposed model is expected to be well applicable to the road network with a mixed traffic and varying number of lanes.     

等惯性两区段分散输水系统在40 m级单级巨型船闸中的应用*

输水系统是船闸实现其功能的关键设施,其设计直接影响船闸工程的安全与效率。等惯性四区段出水分散输水系统是目前国内外高水头大型船闸常用的输水系统形式,但其结构复杂、建设难度大,且由于设置第二分流口而带来自身空化等问题。为解决上述问题,结合我国内河船闸特点,通过国内外工程资料分析、理论与计算分析、物理模型试验等手段,提出并验证了“闸墙长廊道+闸室中心立体分流+闸底两区段四纵支廊道出水+侧支孔+明沟消能”的等惯性两区段输水系统形式在40 m级单级巨型船闸中的适用性,为高水头大型船闸建设提供参考和依据。     

基于空气悬架“高度阀统一应用模型”的智能空气悬架系统

根据目前空气悬架高度阀应用实际情况,简要分析了诸如常规高度阀、快速排气高度阀以及多级高度调节阀等各种不同类型高度阀和ECAS空气悬架系统各自的应用技术状态和特点。基于上述分析结果,率先提出了空气悬架“高度阀统一应用模型”(UAM),该模型对目前所有商用车空气悬架系统中包括高度阀在内的阀类零部件的应用状态进行了高度概括和统一。并以此模型为基础,设计出一种可自动调节长度的高度阀连杆,与最普通的高度阀配合使用,在保留高度阀实时进、排气的优势下实现对气囊高度无级、多样化调节,再结合气囊压力监测装置和中央处理单元,最终实现空气悬架系统的智能控制。     

基于“1+X”证书制度的汽车类专业人才培养模式创新研究——以新能源汽车技术专业为例

文章主要是在“1+X”证书制度视角下,以新能源汽车技术专业为例,将“1+X”证书制度运用到汽车类专业人才培养模式中,更有效地提高汽车类专业人才培养质量。基于“1+X”证书的人才培养方案创新是在已有的教学模式基础上,深化教育教学改革,构建实训考核平台,加强教师队伍建设,并在实训过程中重视理论与实践的结合,将学生的理论知识运用到实践中,从而培养真正优秀的新能源汽车专业人才。     

“1263”工学交替人才培养模式创新研究与实践——以岑溪中等专业学校电机电器制造与维修专业为例

中职教育应立足于立德树人,以培养具备过硬的技能本领,德、智、体、美全面发展,身心健康的高素质技能型人才为目标。在岑溪市中等专业学校电机电器制造与维修专业实施1263工学交替人才培养模式,其核心内容为构建以能力培养为中心、以动手实践为方向、以项目课程为主体的一体化课程体系,采用理实一体化教学模式,实现学中做、做中学工学交替,同时把职业素养提升和德育教育贯穿全程,提高学生的综合素质能力。     

充电模式下锂离子电池组主动均衡控制方法研究

目前电动汽车都会采用到驱动动力强劲的锂离子电池,在充电模式下保证锂电子电池组实现主动均衡控制,有效推进电动汽车电力系统良性发展,提升电汽车整体性能.文章中所探讨的是基于双向Buck-Boost拓扑结构的主电路主动均衡控制系统,它其中基于荷电状态SOC建立主要均衡判据,进而实现了对主动均衡控制策略的有效改进.简单研究了充...     

基于交通信息的电动汽车制动策略及仿真

为了提高滑行能量回收经济性和踏板制动安全性、舒适性,基于交通信息,提出了电动汽车(EV)制动协调策略。分析了滑行制动的经济性,由交通信息和汽车行驶状态确定滑行制动强度;由道路信息和前方车辆信息建立汽车安全距离模型和碰撞预警策略,利用预警信息对滑行制动和踏板制动强度进行协调。对本策略进行仿真验证。结果表明:利用交通信息的滑行策略,在通行良好工况下综合能耗减少1.1%,拥堵工况下减轻驾驶员的制动疲劳;预警和协调策略避免了频繁预警,减小了紧急避撞触发几率。因此,利用交通信息能够辅助驾驶员进行更加合理的制动。