基于ADAMS/Rail的直线电机轨道交通安全性研究

阐述了直线电机轨道交通的技术特点,并就其安全评价体系做了介绍,应用ADAMS/Rail软件分别建立了轮对、构架、悬挂系统、止挡、自导向径向转向架、直线电机以及车体的模型,并考虑轮轨关系组合为直线电机轨道交通的车辆-轨道耦合动力学整体模型,进行了大量的计算仿真。笔者主要以脱轨系数为例进行了动力响应分析,给出考虑了径向转向架和直线电机后的安全评判指标,比较了与径向转向架和未安装直线电机的区别,验证了模型的正确性和有效性。为后续研究直线电机轨道交通车辆-轨道耦合动力学模型提供了理论基础,从而可以进一步从安全性角度研究线路设计参数。为我国今后直线电机轨道交通建设就线路参数对车辆运行安全性的影响研究方面起到理论指导作用。     

Combining Coordination of Motion Actuators with Driver Steering Interaction

Objective: A new method is suggested for coordination of vehicle motion actuators; where driver feedback and capabilities become natural elements in the prioritization.

Methods: The method is using a weighted least squares control allocation formulation, where driver characteristics can be added as virtual force constraints. The approach is in particular suitable for heavy commercial vehicles that in general are over actuated. The method is applied, in a specific use case, by running a simulation of a truck applying automatic braking on a split friction surface. Here the required driver steering angle, to maintain the intended direction, is limited by a constant threshold. This constant is automatically accounted for when balancing actuator usage in the method.

Results: Simulation results show that the actual required driver steering angle can be expected to match the set constant well. Furthermore, the stopping distance is very much affected by this set capability of the driver to handle the lateral disturbance, as expected.

Conclusion: In general the capability of the driver to handle disturbances should be estimated in real-time, considering driver mental state. By using the method it will then be possible to estimate e.g. stopping distance implied from this. The setup has the potential of even shortening the stopping distance, when the driver is estimated as active, this compared to currently available systems. The approach is feasible for real-time applications and requires only measurable vehicle quantities for parameterization. Examples of other suitable applications in scope of the method would be electronic stability control, lateral stability control at launch and optimal cornering arbitration.     

车内挥发性有机物检测方法与控制策略研究

以静止状态下车内挥发性有机化合污染物为研究对象,在分析其排放与时间、温度及通风等关系的基础上,对比了国内外车内空气中挥发性有机化合物的检测方法,重点分析了日本汽车工业协会JAMA标准,并在分析国外经验基础上,对我国车内空气挥发性有机污染物的控制策略提出了合理建议。     

刚性隔热瓦对舱段结构动特性影响规律分析

目的 分析刚性隔热瓦尺寸、瓦间缝隙大小及热环境对典型舱段结构动特性的影响规律.方法 以刚性隔热瓦式热防护系统的高超声速飞行器舱段结构为研究对象,建立其动力学模型,分别研究自由-自由边界条件下刚性隔热瓦尺寸及瓦间缝隙大小对舱段结构动特性的影响规律.开展热环境下舱段结构的稳态热传导分析,获得热环境下舱段结构的温度场分布,然...     

汽车尾气污染地理显示系统的开发研究

利用汽车尾气扩散模型和地理信息系统技术,建立起汽车尾气污染地理显示系统软件(以广州市为例),用户在软件界面上确定选取点或区域后,该软件即通过内部程序进行分析、计算并在界面上形象地表示出汽车尾气污染扩散对该点或区域的影响。本系统能够直观、快速地反映城市交通的大气污染状况,为环境管理和决策部门提供有益参考。     

关于我国报废汽车市场发展趋势的初步研究

随着汽车保有量的快速上升,我国报废汽车市场规模正在进入快速增长区间。根据发达国家的经验,报废汽车拆解与回收利用是循环经济产业的重要支柱。未来我国报废汽车市场规模的增长以及相关资源回收利用市场的发展,将会产生许多新的市场机会,也会对我国循环经济产业发展产生较大影响。     

Stability and safety evaluation of mixed traffic flow with connected automated vehicles on expressways

Introduction: Connected automated vehicles (CAVs) technology has deeply integrated advanced technologies in various fields, providing an effective way to improve traffic safety. However, it would take time for vehicles on the road to vehicles from human-driven vehicles (HDVs) progress to CAVs. Moreover, the Cooperative Adaptive Cruise Control (CACC) vehicle would degrade into the Adaptive Cruise Control (ACC) vehicle due to communication failure. Method: First, the different car-following models are used to capture characteristics of different types of vehicles (e.g., HDVs, CACC, and ACC). Second, the stability of mixed traffic flow is analyzed under different penetration rates of CAVs. Then, multiple safety measures, such as standard deviation of vehicle speed (SD), time exposed rear-end crash risk (TER), time exposed time-to-collision (TET), and time-integrated time-to-collision (TIT) are used to evaluate the safety of mixed traffic flow on expressways. Finally, the sensitivity of traffic demand, the threshold of time-to-collision (TTC), and the parameters of car-following models are analyzed based on a numerical simulation. Results: The results show that the ACC vehicle has no significant impact on the SD of mixed traffic flows, but it leads to the deterioration of TET and TIT, making the reduction proportion of TER slower. When the penetration rate exceeds 50%, the increase of CACC vehicles reduces traffic safety risks significantly. Furthermore, the increase in traffic demand and car-following parameters worsens traffic safety on expressways. Conclusions: This paper suggests that the CACC vehicles degenerate into ACC vehicles due to communication failure, and the safety risk of mixed traffic flow increases significantly. Practical Applications: The application of CAVs can improve the stability and safety of traffic flow.     

Fatal crash between a car operating with automated control systems and a tractor-semitrailer truck

Abstract

Objective: The objective of this investigation was to evaluate the interaction between an SAE level 2 automated vehicle and the driver, including the limitations imposed by the vehicle on the driver.

Methods: A case study of the first fatal crash involving a vehicle operating with an automated control system was performed using scene evidence, vehicle damage, and recorded data available from the vehicle, and information from both drivers, including experience, phone records, computer systems, and medical information, was reviewed.

Results: System performance data downloaded from the car indicated that the driver was operating it using the Traffic-Aware Cruise Control and Autosteer lane-keeping systems, which are automated vehicle control systems within Tesla’s Autopilot suite. As the car crested the hill, a tractor trailer began its left turn onto a crossing roadway. Although reconstruction of the crash determined that there was sufficient sight distance for both drivers to see each other and take action, neither responded to the circumstances leading to the collision. Further, based on the speeds of the vehicles and simulations of the truck’s path, the car driver had at least 10.4?s to detect the truck and take evasive action. Neither the car driver nor the Autopilot system changed the vehicle’s velocity.

?At the time of the crash, the system performance data indicated that the last driver interaction with the system was 1?min 51?s prior when the cruise control speed was set to 74?mph. The driver was operating the vehicle using the Autopilot system for 37 of the 41?min in the last trip. During this period, the vehicle detected the driver’s hands on the steering wheel for a total of 25?s; each time his hands were detected on the wheel was preceded by a visual alert or auditory warning.

Conclusions: The National Transportation Safety Board (NTSB) determined that the probable cause of the Williston, Florida, crash was the truck driver’s failure to yield the right of way to the car, combined with the car driver’s inattention due to overreliance on vehicle automation, which resulted in the car driver’s lack of reaction to the presence of the truck. Contributing to the car driver’s overreliance on the vehicle automation was the car’s operational design, which permitted the driver’s prolonged disengagement from the driving task and his use of the automation in ways inconsistent with guidance and warnings from the manufacturer.     

中国新能源汽车产业的政策变迁与政策工具选择

伴随着新能源汽车产业的发展,中国政府有关新能源汽车产业政策也在不断地跟进。梳理相关产业政策变迁之中的内在逻辑,分析政策工具的选择是一项极为重要的任务。本文基于政策框架理论及其分析方法,对有关新能源汽车研究文献进行了分析,将关注重点从政策的评价转到从历史的角度关注新能源政策变迁的推动力上。政策变迁是与其动力因素密切相关的,这些动力因素又总是体现为政策变迁的主导力量。在中国新能源汽车产业的政策变迁历程中,其主导力量或政策制定的主要影响因素不断变化,中国新能源汽车的发展政策也可以分为政府主导、汽车厂商主导和消费者主导的三个阶段。政策变迁体现了政策本身的社会价值。基于中国新能源汽车发展的各种不同政策要素及其相关性,本文发现,在中国新能源汽车产业的组织性政策工具、管制性政策工具、经济诱因性政策工具、信息性政策工具和资源性政策工具这五个方面,经济诱因性工具和信息性工具应该是推动新能源汽车产业的关键工具,组织性和管制性工具只适用于产业化初期,后期应逐渐减少,而自愿性工具在新能源汽车产业市场完善前不提倡使用,在该产业市场得到完善后可以成为政府的选择之一。经过研究发现,在新能源汽车产业发展过程中,政府应注意自身的作用范围,适当处理市场与政府规制的便捷,降低交易成本,提高规制效率,是未来产业化政策工具选择应重点关注的环节。同时,政府必须在政策上致力于技术创新,把通过技术创新推动新能源汽车产业发展作为重要的政策目标。     

Knowledge,experience and the circus: academic perspectives on the processes of communicating the environmental and health impacts of electric vehicles

The translation of research findings into public realms has important implications for alternative technologies, such as electric vehicles (EVs). Much existing science communication research focuses on the agency of different publics in processes of scientific knowledge uptake. This study uses research related to the environmental and health impacts of EVs as a case study to explore how the individual agency of academic researchers can influence communication. Challenges to communication and opportunities to enhance the agency of researchers to engage in public dialogue are identified, with a focus on academics at different stages of their careers. This paper proposes a new way of understanding how these individualised nuances impact the communication of a particular researcher’s findings. These nuances are built through the researcher’s agency; a construct of their past experiences, professional and personal relationships with other actors and previous practices of communicating to publics. Communication models have previously concentrated on the heterogeneity of other actors and publics with the huge assumption that academics work consistently, homogenously, in a neutral way to the benefit of society. EVs were chosen as an appropriate case study as they are a contemporary technology that relies on the communication of knowledge and the public understanding of this knowledge to cater for future needs. The responses elicited from the interviews highlight the individual geographies of knowledge. Hence, a reflexive understanding of their role as an individual can provide valuable insights into how a researcher may distribute knowledges more effectively in their geographies to publics