A Temporal Domain Decomposition Algorithmic Scheme for Large-Scale Dynamic Traffic Assignment

With emergent interest of Simulation-Based Dynamic Traffic Assignment(SBDTA)in the field of transportation network modeling,deployment of SBDTA models for traffic operations and transportation planning have increased significantly in recent years.In parallel,research and development of innovative approaches of the SBDTA model have enhanced the quality of both the assignment component,i.e,improvement of convergence quality of the Dynamic User Equilibrium(DUE)problem,and the traffic simulation element.However,computational requirement remains to be one of the great challenges for DTA implementations on large-scale networks with a long analysis period.This paper presents a temporal decomposition scheme for large spatial-and temporal-scale dynamic traffic assignment,in which the entire analysis period is divided into Epochs.Vehicle assignment is performed sequentially in each Epoch,thus improving the model scalability and confining the peak run-time memory requirement regardless of the total analysis period.A proposed self-turning scheme adaptively searches for the run-time-optimal Epoch setting during iterations regardless of the characteristics of the modeled network.Extensive numerical experiments confirm the promising performance of the proposed algorithmic schemes.

提高阻挡大型机动车辆路障效率的研究

随着当今世界各国对安全的重视和汽车炸弹恐怖袭击的层出不断,防恐机动车阻挡路障的研究和应用成为重要课题。本文主要针对阻挡大型高速货车类车辆的路障进行了试验研究,利用LS-DAYNA建立了和试验结果吻合的有限元模型。参考美国DOS(Department of State)标准关于机动车阻挡路障的要求,通过模拟计算方法研究了如何提高对大型高速车辆的阻挡效率、减少车辆穿过路障距离的方案。模拟和试验表明,所提方案可以有效地阻挡大型车辆,对提高我国相关产品的性能并使之与国际标准接轨有重要指导作用。

浅谈大型整车匹配主模型覆盖件模拟块调整机构的设计问题

介绍了大型整车主模型中关于覆盖件模拟块位置精度控制的技术难点和要点,提出了合理布置调整机构及优化调整机构的思路,并且针对不同类型的整车主模型,实现了各种复杂形状覆盖件模拟块精确调整的方法,有效地解决了覆盖件模拟块位置精度控制的技术问题。