集成的OSS模拟仿真

过去25年来,计算机辅助工程（CAE）对产品设计和开发产生了巨大影响。当今的技术和软件是如此的强大,他们能以令人惊叹的准确率复制物理世界。或许很难找到比乘员安全系统工程更真实的CAE应用了。     

Range Extender Module Transmission Topology Study

Range extender modules are one option to compensate for short drive ranges of electric vehicles. The close interaction of combustion engine and generator poses new challenges in development. A key requirement for range extender systems is to be light and virtually imperceptible in operation. High-speed electrical machines aim at increasing power density. However, their introduction in a range extender requires a gearbox. The combustion engine torque fluctuations can lead to rattle in the gearbox. The rattle can be overcome by a dual mass flywheel. An interdisciplinary model is developed and used to analyse three different range extender systems: one with a low speed generator without gearbox, one with a high-speed generator, and one with a high-speed generator and a dual mass flywheel. The efficiency was found to be higher for the system with a low speed generator, whereas the power density and the costs are beneficial for the high-speed concept. A dual mass flywheel eliminates the changes of torque direction in the gearbox. It reduces the speed fluctuations of the gearbox and generator by over 90 % compared to the low speed setup. But it increases rolling moment and subsequently chassis excitation compared to a setup with only a gearbox.     

Global logistics city concept: a cluster-led strategy under the belt and road initiative

This paper develops a cluster-led strategic policy framework to assess the strategic positioning of key global logistics cities in Asia, most of which are affected by the ‘Belt and Road (B&R) Initiative.’ One of the key challenges that the B&R Initiative is facing is underdeveloped logistics infrastructure in Asia, not to mention road congestion, dilapidated infrastructure, incessant supply chain disruptions, and capacity constraint, which imposes significant economic costs.

Global logistics cities are evaluated on logistics infrastructure capacity and service responsiveness. This involves selecting the key global logistics cities, identifying key indicators, standardising and indexing, mapping dimensions of global logistics cities, and developing the cluster-led strategic policy framework.

The results indicate the prevalence of a multi-tier system wherein Shanghai and Hong Kong have attained the maturity of a global logistics city, whilst Manila, Jakarta, and Bangalore are making slow but steady progress in that direction. In contrast, Dhaka, Phnom Penh, and Ho Chi Minh City are showing potential but require further enhancement through significant investment in infrastructure and service delivery improvement.

The cluster-led strategic policy framework formulates actions and strategies through which emergent logistics networks can be strategically aligned and functionally integrated with B&R-oriented global trading hubs and transport corridors..     

Leisure mobility styles in Swiss conurbations: construction and empirical analysis

Leisure travel is the most difficult travel purpose to analyse due to the lack of fixed spatial and temporal referents and the consequent flexibility in patterns. This paper addresses lifestyles, social influence, and the travellers’ social networks, issues that have proved valuable for travel behaviour research in confronting the complexity of leisure travel. An approach for constructing leisure mobility styles, based on orientations towards leisure and mobility, will be presented first and then the hypotheses that transport behaviour can be better explained through analysis of leisure mobility styles will be tested. Multivariate analysis reveals that the leisure mobility style group makes a significant contribution towards clarifying variance for the activities ‘Visiting friends and relatives’, ‘Travel participation’, ‘Mode choice’, and ‘Travel distance for leisure’. The use of leisure mobility styles is most useful for developing practical intervention pointers where the in-group homogeneity of lifestyle should be addressed in greater detail.     

A GA-based household scheduler

One way of making activity-based travel analysis operational for transport planning is multi-agent micro-simulation. Modelling activity and trip generation based on individual and social characteristics are central steps in this method. The model presented here generates complete daily activity schedules based on the structure of a household and its members’ activity calendars. The model assumes that the household is another basic decision-making unit for travel demand aside from individual mobility needs. Results of the model are schedules containing complete information about activity type and sequence, locations, and means of transportation, as well as activity start times and durations. The generated schedules are the outcome of a probabilistic optimisation using genetic algorithms. This iterative method improves solutions found in a random search according to the specification of a fitness criterion, which equals utility here. It contains behavioural assumptions about individuals as well as the household level. Individual utility is derived from the number of activities and their respective durations. It is reduced by costs of travelling and penalties for late, respectively early arrival. The household level is represented directly by the utility of joint activities, and indirectly by allocation of activities and means of transportation to household members. The paper presents initial tests with a three-person household, detailing resulting schedules, and discussing run-time experiences. A sensitivity analysis of the joint utility parameter impact is also included.