浅析大型铁路客运站交通规划理念

以重庆北站北场交通规划为例,分析和判断了铁路客流对象、车站客流组织、旅客立体换乘、车站功能布局和车站管理模式5个方面的发展趋势；提出了现代铁路客运站在综合交通枢纽、站前集散广场、机动车进出通道、交通设施布局、客流组织方面的规划设计理念.     

公路桥梁维修加固的方法探讨

随着交通运输事业的快速发展,过去修建的桥梁,承受着大量超载车辆和超大交通量的沉重负荷,出现了各种各样的病害.根据近年对公路桥梁的维修加固实践,总结了一些公路桥梁的病害及维修加固的方法.     

桩墩间距对冰荷载及过冰能力影响的实验研究

在我国北方的水工结构物的设计建造中,通常要考虑流冰对结构的作用,并且桩墩的间距也是被关注的内容之一。文章主要针对单闸墩、双闸墩间距以及多桩间距对冰荷载的影响进行了模型实验研究,通过定间距闸墩模型实验,以及系列桩间距的模型实验和数据分析,获得了间距对闸墩和桩的冰荷载影响的依据,并得到桩间距与冰荷载的关系曲线,可供相关人员参考。所进行的研究初步论述了浮冰在桩墩结构物前堵塞或通过的条件,并提出了有待进一步研究的新课题。     

Application of genetic algorithms for joint optimization of signal setting parameters and dynamic traffic assignment for the real network data

This paper presents the joint optimization of signal setting parameters and dynamic user equilibrium (DUE) traffic assignment for the congested urban road network. The simulation-based approach is employed to obtain the DUE condition for the case of multiple-origin multiple-destination traffic flows. The dynamic traffic assignment simulation program (DTASP), developed in C language is used to assign the traffic dynamically on the road network, whereas method of successive averages (MSA) is modified and used to arrive at the DUE condition. The artificial intelligence technique of genetic algorithms (GAs) is applied to obtain the optimal signal setting parameters and path flow distribution factor for DUE condition. The methodology developed in such a way that joint optimization of signal setting parameters with DUE is obtained. The proposed method is applied to the real network data of Fort Area of Mumbai city comprising of 17 nodes and 56 unidirectional links with 72 Origin–Destination pairs, where all the 17 nodes are signalized intersections. The traffic flow condition for the optimized signal setting parameters is considerably improved compared to the existing signal settings. The results prove that the GA is an effective technique to solve the joint optimization problem for the real network data.     

Activity patterns,time use,and travel of millennials: a generation in transition?

Millennials, defined in this study as those born between 1979 and 2000, became the largest population segment in the United States in 2015. Compared to recent previous generations, they have been found to travel less, own fewer cars, have lower driver’s licensure rates, and use alternative modes more. But to what extent will these differences in behaviour persist as millennials move through various phases of the lifecycle? To address this question, this paper presents the results of a longitudinal analysis of the 2003–2013 American Time Use Survey data series. In early adulthood, younger millennials (born 1988–1994) are found to spend significantly more time in-home than older millennials (born 1979–1985), which indicates that there are substantial differences in activity-time use patterns across generations in early adulthood. Older millennials are, however, showing activity-time use patterns similar to their prior generation counterparts as they age, although some differences – particularly in time spent as a car driver – persist. Millennials appear to exhibit a lag in adopting the activity patterns of predecessor generations due to delayed lifecycle milestones (e.g. completing their education, getting jobs, marrying, and having children) and lingering effects of the economic recession, suggesting that travel demand will resume growth in the future.     

One city,three models: comparison of land‐use/transport policy simulation models for Dortmund

The paper reports on simulation experiments conducted by the International Study Group on Land‐Use/Transport Interaction (ISGLUTI) for the metropolitan region of Dortmund in the Federal Republic of Germany. Three land‐use/transport simulation models were applied to the Dortmund region: the DORTMUND model developed at the University of Dortmund, the LILT model being used at University College London and the MEPLAN package developed by Marcial Echenique & Partners in Cambridge. The three models are briefly characterized and their ex‐post forecasts are compared with the actual development of the region. The final section of the paper compares how the three models respond to a common set of assumptions and policies from the fields of land‐use control, traffic management and transport investment. The differences in model response give insights into the validity of the theoretical foundations and internal structure of the models.     

Assessment of diesel combustion noise overall level in transient operation

Combustion noise in passenger cars powered with direct injection (DI) diesel engines is frequently the main reason why end-users are reluctant to drive this type of vehicle. Thus, the great potential of diesel engines for environment preservation — due to their lower CO₂ emissions — could be missed. This situation worsens with the current design trends (engine downsizing) and the emerging new diesel combustion concepts (Homogeneous Charge Compression Ignition-HCCI, Premixed Charge Compression Ignition-PCCI, etc.), which are intrinsically noisy. This negative feature can be even more critical in transient operation due to the contribution of the temporal changes of both source and transmission path on engine noise. Therefore, combustion noise must be considered as an additional essential factor in engine development, together with performance, emissions and driveability. Thus, suitable evaluation procedures that can be integrated into the global engine development process in a timely and cost-effective manner are imperative. Regarding the evaluation procedures, most of the work available in the literature addressed combustion noise at steady operation. To surpass this limitation, two possible approaches — adapted from the classical and multiple regression methods — for the overall level assessment of combustion noise in transient conditions are evaluated in this paper.     

基于消息的5T系统监测数据传输技术

针对铁路5T系统(红外线轴温探测系统、货车运行状态地面安全监测系统、货车滚动轴承早期故障轨边声学诊断系统、货车运行故障动态图像检测系统、客车运行安全监控系统)中的监测数据传输冲突和数据堵塞问题,以各种类型监测数据所反映出的安全程度为依据,建立5T系统信息模型,应用消息队列技术设计基于消息的动态优先队列传输流程,在量化优先因子影响因素的基础上建立基于数据类型、预警等级、车型和车速的数据传输优先模型,将对优先因子的求解转化为对部分权重信息下多目标决策模型的求解,建立单目标优化模型以求解优先模型中未确定的权重向量,根据求解得到的优先因子按照优先队列调整步骤进行传输队列调整.对据此开发的监测数据传输原型系统实验结果表明,所提出的技术方案可行且有效.