保价运输与运输保险的竞合关系研究

通过分析铁路保价运输与运输保险之间竞合关系,建立保价运输市场份额模型和利润模型。其中,市场份额模型包括自然增长模型、合作模型、竞争模型与竞合模型。在此基础上,确定铁路保价运输在与运输保险竞合关系基础上的最优保价费率模型,分析二者的竞合关系对保价运输费率和保价运输市场份额的影响。     

电子真空系统在某型纯电动车上的应用

传统燃油汽车大多采用真空助力伺服制动系统,其真空源由发动机提供。而纯电动车的制动系统由于没有真空动力源,仅仅由驾驶者对踏板操作产生的制动力无法实现制动效果。文章针对某型电动轿车提出了一种电子真空助力制动系统的设计方法。     

湖北沪渝高速长大纵坡交通安全改造方案

文章主要对山区高速公路长度较大,且坡度较陡路段的交通事故分析,捋清各种事故的共同特点和诱发因素,从事故状况、路线状况、事故原因分析、交通设施的角度对湖北沪渝高速公路鄂西段提出了安全改造方案,由于运营的原因,现在进行安全改造不太可能采用路线的措施。上面所提到的措施可以同时运用,也可以选用其中一种或几种,都将在一定程度上减少事故次数、降低事故严重程度。在此基础上,为鄂西段高速公路的安全管理提出一些参考建议,为高速公路长大下坡路段的安全设计与风险管控提供有益的指导。     

多端点不成对机车周转图模型与算法

针对不成对列车运行图编制,在考虑最优性的要求条件下,本文提出适用于多端点不成对机车周转图的实用三步算法,即,首先确定机车交路成对时部分初始解,再分别确定每一个尚未匹配到达车次初始附挂方案,最后进行结果优化．文末提供一个算例,算例证明算法有效。     

Augmented Reality Vehicle system: Left-turn maneuver study

Augmented Reality “AR” is a promising paradigm that can offer users with real-time, high-quality visualization of a wide variety of information. In AR, virtual objects are added to the real-world view in real time. The AR technology can offer a very realistic environment for enhancing drivers’ performance on the road and testing drivers’ ability to react to different road design and traffic operations scenarios. This can be achieved by adding virtual objects (people, vehicles, hazards, and other objects) to the normal view while driving an actual vehicle in a real environment. This paper explores a new Augmented Reality Vehicle “ARV” system and attempts to apply this new concept to a selected traffic engineering application namely the left-turn maneuver at two-way stop-controlled “TWSC” intersection. This TWSC intersection experiment, in addition to testing the feasibility of the application, tries to quantify the size of gaps accepted by different driver’s characteristics (age and gender). The ARV system can be installed in any vehicle where the driver can see the surrounding environment through a Head Mounted Display “HMD” and virtual objects are generated through a computer and added to the scene. These different environments are generated using a well defined set of scenarios. The results from this study supported the feasibility and validity of the proposed ARV system and they showed promise for this system to be used in the field-testing for the safety and operation aspects of transportation research. Results of the left-turn maneuver study revealed that participants accepted gaps in the range of 4.0-9.0 s. This finding implies that all gaps below 4 s are rejected and all gaps above 9 s are likely to be accepted. The mean value of the left-turn time was 4.67 s which is a little bit higher than reported values in the literature (4.0-4.3 s). Older drivers were found to select larger gaps to make left turns than younger drivers. The conservative driving attitude of older drivers indicates the potential presence of reduced driving ability of elderly. Drivers’ characteristics (age and gender) did not significantly affect the left-turn time. Based on the survey questions that were handed to participants, most participants indicated good level of comfort with none or small level of risk while driving the vehicle with the ARV system. None of the participants felt any kind of motion sickness and the participants’ answers indicated a good visibility and realism of the scene with overall good system fidelity.     

交通土建类工程造价专业工学结合人才培养模式研究

文章介绍了广西交通职业技术学院交通土建类工程造价专业工学结合人才培养模式的实践现状,分析了开展工学结合人才培养模式中出现的问题,提出了工学结合人才培养模式有效运行的措施。     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

Smarter and more connected: Future intelligent transportation system

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment and big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The connected environment also introduces new approaches to flexible control and management of transportation systems in real time to improve overall system performance. Given the benefits of a connected environment, it is crucial that we understand how the current intelligent transportation system could be adapted to the connected environment.     

集装箱专用平车加装承载板实现滚装运输技术研究

为弥补应急情况下滚装运输所需平车数量缺口,同时为完善车辆自身应急保障能力,分析集装箱专用平车用于滚装运输需求,针对集装箱专用平车用于滚装运输存在的主要问题,提出在不改变车体结构前提下,通过加装承载板实现滚装运输的解决思路。结合集装箱专用平车结构特点,分析承载板的数量、尺寸、材质,设计承载板由承载面、横支撑架、渡板、斜支腿、受力面、绳拴构成,给出加装改造方法,并通过校核承载能力和研究适运范围,研究加装改造后的集装箱专用平车滚装运输能力,得出改造后的集装箱专用平车可以满足大部分滚装运输货物运输需要。     

基于分级节点的高速铁路货运动车组开行研究

“八纵八横”高速铁路网货运节点可以利用聚类分析法,依据货运总量、GDP、人口、社会消费品零售总额、快递业务量、线路连接数、城市类别和节点类别等指标划分为4个等级。基于灰色系统预测模型,预测2025年高速铁路货运量,构建数学模型计算保本货运量。依据节点划分、货运量预测、保本货运量结果,计算各等级节点中盈利OD所占的比例,结合日均OD量,分析各等级节点间开办高速铁路货运的可行性。研究表明,在一级节点之间可以开行高速铁路货运动车组专列,在二级节点之间可以开行客货联挂动车组,三、四级节点可以采用捎带运输的方式。