Emergence of cooperation in congested road networks using ICT and future and emerging technologies: A game-based review

Information and communications technologies (ICT) and future and emerging technologies (FET) are expected to revolutionize transportation in the next generation. Travelers’ behavioral adaptation is a key to their success. We discuss the notion of managing traffic congestion by enhancing cooperation in road networks enabled with ICT and FET. Cooperation is an emergent social state related to the dynamics and complexity of road traffic and reinforced learning. Game theory and research in behavioral economics show that cooperation can be leveraged to efficiently solve social dilemmas similar to traffic congestion. We review the applicability of behavioral economics and game theory concepts to route, mode and departure time choice problems. Beyond advancing theory, research on cooperation in the context of transportation is still in its infancy. We discuss state-of-the-art methodologies and their weaknesses and review the unexplored opportunities inherent in game-based methodologies. A behavioral-technological research agenda for FET is also discussed.     

浅谈汽车生产一致性管理方法与实施策略

强制性产品认证实施规则的发布及实施是国家维护消费者权益的一项强有力的措施,汽车是强制性产品认证中重要的一个模块,本文主要结合企业对生产一致性管理、生产一致性控制计划的维护、COC证书、CCC标志、关键件符合性等控制措施的实施,从而保障企业的质量保障能力,达到五个一致,即公告车型、试验样品、车辆产品、产品合格证、出厂车辆上传信息的一致性。     

“中油海3”号坐底式钻井平台

坐底式钻井平台具有构造比较简单，投资较少，建造周期较短等优点，特别适合在水深浅，海床平坦的浅海区域进行油气勘探开发作业。该文着重介绍了国内自行设计建造的“中油海3”号坐底式钻井平台的技术特点和关键技术。     

举办专项技能强化培训班的实践与探讨

高职院校举办专项技能实训操作强化班,是在原来的教学要求或相关边缘课程的基础上,进一步提升和强化学生的职业能力和专项技能,对提升学生专业技能水平起到积极作用。     

港珠澳大桥钢结构制造关键技术介绍

介绍港珠澳大桥钢结构工程概况及其特点。钢结构制造阶段引入智能化的板单元组装和焊接示范生产线,在国内率先实现"车间化"桥梁钢结构总拼装和防腐涂装作业。采用大型龙门吊转运、大型浮吊吊装、精细化桥位连接技术等,可确保钢结构制造的质量、进度及安全。施工过程控制及检验结果证明,港珠澳大桥钢结构制造项目管理模式是成功的。     

机车车辆焊接结构疲劳分析关键问题研究

为确保铁道机车车辆各焊接承载部件在整个寿命期间安全可靠,在分析国际上对动态承载焊接结构疲劳研究的基础上,提出机车车辆焊接部件疲劳分析应明确的各类关键问题.主要包括焊接结构的疲劳特征、应力分析原则和应力谱的确定、疲劳评定方法和强度数据的选取、累积损伤准则的实际应用及多轴疲劳的处理方法等.疲劳理论经典算法表明,上述关键问题的较好解决将有助于大幅地提高疲劳分析精度,将其应用于结构设计可保证焊接承载部件具有足够的疲劳强度.     

钩尾销螺栓折断的原因分析与探讨

分析了钩尾销螺栓折断的原因,并提出了改进建议。     

面向车联网多点协作联合传输的安全认证与密钥更新方法

未来基于车联网的车路协同和自动驾驶场景要求车-车/车-路等网络通信在保证数据安全的前提下，具备低时延、高可靠的特性，从而保证车辆的行驶安全以及车/人的信息安全。LTE-V2X作为车联网通信方案之一，LTE的多点协作联合传输（Coordinated Multiple Points-Joint Transmission，CoMP-JT）技术不仅可以减少车辆在高速行驶过程中进行基站（Evolved Node B，eNB）切换时的通信中断，还能通过多个基站的协同传输来辅助提高网络的数据传输性能。然而当前LTE标准中的安全密钥管理方案无法满足多点协作联合传输过程中的密钥管理场景。针对该问题，提出一种可用于LTE-V2X车联网通信中多点协作传输切换的安全密钥生成与更新算法。该算法由车辆生成基站切换请求并使用随机数、共享密钥、目标基站公钥对切换请求进行加密、广播；基于密码学特性，目标基站不仅可基于私钥从密文请求中计算出共享密钥，还可以计算得到后续的会话密钥；车辆则可以基于目标基站位置信息、生成请求时的随机数计算出会话密钥，从而实现在只需要1次密钥传输的前提下，达成车辆与基站之间的密钥共享和密钥更新，并从密码学角度针对该密钥生成与更新算法进行验证分析。研究结果表明：在LTE-V2X多点协作传输时的基站切换过程中，该算法能够确保车辆与基站进行后向/前向密钥分离的安全认证以及会话密钥建立；与传统方案相比，所提方法可减少26.4%的基站切换过程中引入的通信时延，基站信道负载均仅为传统方案的1/2，并且随基站小区范围内车辆数目增加，基站的信道负载也仅线性增加，提升了该算法在LTE-V2X车联网场景中的适用性。     

Evaluation of detection sensitivity and count performance of advanced vehicle detection technologies at a signalized intersection

This article evaluates the stop-bar detection and count performance of three advanced vehicle detection sensors under various environmental conditions at a signalized intersection. Continuing advancements to vehicle detection technologies and improvements to their detection capabilities to overcome issues from impacting conditions necessitates testing the performance of new and upgraded sensor products to evaluate their performance and identify the most suitable products for various climates and weather conditions. The three evaluated sensors were Autoscope Encore video, Iteris Vantage Edge 2 video, and Wavetronix SmartSensor Matrix microwave sensors. The three sensors performed with high detection sensitivity during ideal environmental conditions with up to 99.9% detection accuracy levels and are suitable for traffic monitoring centers that rely on remote access to the monitored sites and the collected data. However, they were affected by some extreme adverse weather conditions, mainly daytime and nighttime snow, daytime fog, dawn lighting, and strong winds (for high mounted devices). The selection of a sensor product will depend on the type of application and the priority given to the type of traffic data being collected. Overall, the Iteris video sensor performed with the highest detection sensitivity levels, with the Wavetronix Matrix microwave sensor performing similarly under most conditions (14 of 19 evaluated conditions). Autoscope video provided the highest count accuracies and also provides a much broader data collection capability. The results of this study will help transportation agencies in selecting suitable vehicle detection sensor technologies for future installations within their jurisdiction and improved data collection.