岸边集装箱起重机电控系统改造设计及应用

#801、#802岸边集装箱起重机经多年使用,电控系统故障较多,必须进行升级改造。对桥机旧电控系统进行分析。介绍针对GE DC300电控系统进行改造的设计方案和在实际生产中应用情况。改造后电控系统故障较大减少,设备的完好率和作业效率显著提高。     

岸边集装箱起重机大车方向防摇的研究

为使老码头岸桥适应升级换代需要,提高生产效率,对岸桥大车方向防摇进行研究。分析岸边集装箱起重机在操作时的摇晃原因,提出解决方案,如优化大车驱动控制参数和上部结构设计方案,增加前大梁水平撑杆以及加强前大梁结构强度等,可以大大降低大车方向摇晃。     

考虑灵活车票的高速铁路票额分配优化研究

为改善高速铁路收益,将部分高速铁路席位以灵活车票的形式出售.灵活车票价格较低,且在出售时只确定出行时段或备选车次集合,具体车次和席位延迟到发车前的某个时间兑现.设计两阶段售票组织方法,构建考虑灵活车票的两阶段高速铁路票额分配模型,采用CPLEX求解.利用模型最优解构造基于预订限制的预售控制策略,设计仿真算法,并选取京沪...     

毛里求斯路易港集装箱业务发展定位

随着世界集装箱三大航线的成熟及远洋航运技术的革新,曾为欧亚绕好望角航线必经补给点的路易港在国际集装箱运输新格局中面临着机遇与挑战。研究当前形势下路易港的集装箱业务发展定位,通过统筹分析内外部形势变化对路易港集装箱业务带来的影响,判断路易港的集装箱业务竞争力以及远期国际集装箱枢纽港的建设可能。分析得出,路易港具有发展为区域性交织式中转枢纽港的条件,但其目前的发展瓶颈主要集中在外海作业条件的限制及国内公司对集装箱码头的垄断经营等方面。针对这些问题,给出后续开发建议。本研究对于准确把握非洲集装箱航运市场前景及拓展新地域的港口工程具有参考价值。     

钱塘江中上游船舶交通事故应急救援资源配置研究

通过分析钱塘江中上游船舶交通事故应急救援资源配置中存在的问题,建立分配数学模型,运用遗传算法,选择水上应急储备的地址和救援物资,进而获得钱塘江中上游应急救援资源配置最优化的应急预案,为钱塘江中上游船舶交通事故应急救援资源配置提供参考依据。     

Increasing the capacity of signalized intersections by allocating exit lanes to turning movements

Unconventional intersection designs have been used to increase the capacity of intersections that are over‐saturated under conventional ones. However, existing unconventional designs typically require extra land space and their effectiveness often depends on drivers' familiarity with the uncommon operating rules. To overcome these challenges, we propose a new unconventional design, where movements that are mutually incompatible under the conventional design can be made compatible of each other by allocating exit lanes to them appropriately, thereby creating opportunities for capacity improvement. We develop a lane‐based capacity optimization model that incorporates the allocation of exit lanes as decision variables. The model is formulated as a Binary Mixed Integer Linear Programming problem, which can be efficiently solved by standard branch‐and‐bound algorithms. Numerical experiments show that significant capacity improvement can be obtained under our design. Besides proposing a new unconventional design, we also contribute to the literature of lane‐based signal optimization methods by providing a novel linear formulation for the latest, yet nonlinear, model described in Wong and Heydecker [Transportation Research Part B 45(4):667–681]. This improvement is methodologically beneficial as linear models are computationally more convenient than nonlinear ones. Copyright © 2017 John Wiley & Sons, Ltd.     

The multi-port berth allocation problem with speed optimization and emission considerations

The container shipping industry faces many interrelated challenges and opportunities, as its role in the global trading system has become increasingly important over the last decades. On the one side, collaboration between port terminals and shipping liners can lead to costs savings and help achieve a sustainable supply chain, and on the other side, the optimization of operations and sailing times leads to reductions in bunker consumption and, thus, to fuel cost and air emissions reductions. To that effect, there is an increasing need to address the integration opportunities and environmental issues related to container shipping through optimization. This paper focuses on the well known Berth Allocation Problem (BAP), an optimization problem assigning berthing times and positions to vessels in container terminals. We introduce a novel mathematical formulation that extends the classical BAP to cover multiple ports in a shipping network under the assumption of strong cooperation between shipping lines and terminals. Speed is optimized on all sailing legs between ports, demonstrating the effect of speed optimization in reducing the total time of the operation, as well as total fuel consumption and emissions. Furthermore, the model implementation shows that an accurate speed discretization can result in far better economic and environmental results.     

Fair dynamic resource allocation in transit-based evacuation planning

Resource allocation in transit-based emergency evacuation is studied in this paper. The goal is to find a method for allocation of resources to communities in an evacuation process which is (1) fair, (2) reasonably efficient, and (3) able to dynamically adapt to the changes to the emergency situation. Four variations of the resource allocation problem, namely maximum rate, minimum clearance time, maximum social welfare, and proportional fair resource allocation, are modeled and compared. It is shown that the optimal answer to each problem can be found efficiently. Additionally, a distributed and dynamic algorithm based on the Lagrangian dual approach, called PFD²A, is developed to find the proportional fair allocation of resources and update the evacuation process in real time whenever new information becomes available. Numerical results for a sample scenario are presented.     

高速铁路不同票价等级席位数量的优化分配研究

在高速铁路旅客运输淡季，通过对列车在整个运行区段内的票价进行折扣，来吸引有潜在出行行为的旅客来乘坐旅客列车，从而提高列车的上座率并增加铁路运输企业的收益。通过分析折扣率和客流增加量的关系，建立以运营收益最大化为目标，以折扣数和不同的折扣率为决策变量的优化模型。最后根据模型的特点给出模型的求解算法，通过对模型的求解得到最优的席位分配方案，并通过案例验证模型的科学性。     

基于失效率变化量的燃料电池轿车可靠性分配优化

基于某燃料电池轿车用户道路采集的故障数据,分析了该车的可靠性统计特性。结合燃料电池轿车整车可靠性指标的要求,提出了基于失效率变化量的可靠性分配层次分析法,对燃料电池轿车进行可靠性指标分配优化。优化结果为提高整车及其关键零部件的可靠性和轻量化开发提供了理论依据,也为制定整车及其关键零部件的可靠性增长目标提供了技术基础。