数据处理方法在路堤工后沉降预测中的应用

介绍了3种预测路堤工后沉降的模型及求解方法，并应用于工程实例中；把3种方法得到的结果与实测结果相比较，指出各种方法各有优点，各有其适用情况。     

Multi-step prediction of experienced travel times using agent-based modeling

This paper develops an agent-based modeling approach to predict multi-step ahead experienced travel times using real-time and historical spatiotemporal traffic data. At the microscopic level, each agent represents an expert in a decision-making system. Each expert predicts the travel time for each time interval according to experiences from a historical dataset. A set of agent interactions is developed to preserve agents that correspond to traffic patterns similar to the real-time measurements and replace invalid agents or agents associated with negligible weights with new agents. Consequently, the aggregation of each agent’s recommendation (predicted travel time with associated weight) provides a macroscopic level of output, namely the predicted travel time distribution. Probe vehicle data from a 95-mile freeway stretch along I-64 and I-264 are used to test different predictors. The results show that the agent-based modeling approach produces the least prediction error compared to other state-of-the-practice and state-of-the-art methods (instantaneous travel time, historical average and k-nearest neighbor), and maintains less than a 9% prediction error for trip departures up to 60 min into the future for a two-hour trip. Moreover, the confidence boundaries of the predicted travel times demonstrate that the proposed approach also provides high accuracy in predicting travel time confidence intervals. Finally, the proposed approach does not require offline training thus making it easily transferable to other locations and the fast algorithm computation allows the proposed approach to be implemented in real-time applications in Traffic Management Centers.     

Experimental and numerical investigation on the derailment of a railway wheelset with solid axle

This paper presents the results of an experimental and numerical investigation on the derailment of a railway wheelset with solid axle. Tests were carried out under quasi-steady-state conditions, on a full-scale roller rig, and allowed to point out the effect of different parameters like the wheelset's angle of attack and the ratio between the vertical loads acting on the flanging and non-flanging wheels. On the basis of the test results, some existing derailment criteria are analysed in this paper and two new criteria are proposed. A model of wheel–rail contact is proposed for the mathematical modelling of the flange climb process, and numerical vs. experimental comparisons are used to obtain model validation.     

Logistic曲线在间歇性路堤填筑下软基沉降预测中的应用

软土路基沉降的预测是高速公路建设的一个重要部分，目前预测方法越来越多，但由于路堤填筑受到自身或者外界因素影响，使得路堤处于间歇性填筑，因此选择合理科学的预测方法至关重要。在介绍软土沉降机理和Logistic曲线性质的基础上，结合西南地区遂（宁）—资（阳）—眉（山）高速公路遂宁至资阳段软土路基沉降预测工程实例，证明Logistic曲线在间歇性路堤填筑下软土路基沉降预测应用上具有科学合理性和适用性。     

Enhancing grey prediction fuzzy controller for active suspension systems

A grey prediction fuzzy controller (GPFC) was proposed to control an active suspension system and evaluate its control performance. The GPFC employed the grey prediction algorithm to predict the position output error of the sprung mass and the error change as input variables of the traditional fuzzy controller (TFC) in controlling the suspension system to suppress the vibration and the acceleration amplitudes of the sprung mass for improving the ride comfort of the TFC used; however, the TFC or GPFC was employed to control the suspension system, resulting in a large tire deflection so that the road-holding ability in the vehicle becomes worse than with the original passive control strategy. To overcome the problem, this work developed an enhancing grey prediction fuzzy controller (EGPFC) that not only had the original GPFC property but also introduced the tire dynamic effect into the controller design, also using the grey prediction algorithm to predict the next tire deflection error and the error change as input variables of another TFC, to control the suspension system for enhancing the road-holding capability of the vehicle. The EGPFC has better control performances in suppressing the vibration and the acceleration amplitudes of the sprung mass to improve the ride quality and in reducing the tire deflection to enhance the road-holding ability of the vehicle, than both TFC and GPFC, as confirmed by experimental results.     

网联车辆并线预测与巡航控制的研究

为检测旁车道车辆驾驶员的并线意图,提升网联车辆巡航跟车的主动安全性,提出了一种基于NAR神经网络学习的迭代循环预测算法。NAR神经网络的训练样本由实际交通环境中的车辆并线数据获得,通过训练的网络预测未来一段时间内旁车的横向行驶轨迹,并根据划定的监控区域计算旁车的切入概率。同时,提出了一种考虑并线概率的跟车距离策略,并应用到网联车辆CACC系统中。结果表明,所提出的并线预测算法能精确计算出旁车的横向换道轨迹,所提出的跟车策略可提升车辆的跟车安全性。     

Measuring community reaction to urban transportation impacts using Von Neumann‐Morgenstern utility theory

This paper attempts to measure the impacts of urban transportation system improvements or changes on the community. The community's perceptions of the impacts are represented by its utilities (or disutilities) over various ranges of values of the multiple attributes representing these impacts. The utility technique used in the evaluation is based upon von Neumann‐Morgenstern (vN‐M, 1947) Utility Theory, and is applied using Raiffa's (1970) Fractile Method.

The paper specifically applies the technique to model the perceptions of five subgroups within a community to the impact of a new light rail transit system that is being incorporated in the transportation system of the City of Calgary.

Results of the modeling indicate explicitly how the community changes its perception over ranges of values of the attributes evaluated. Biases of various subgroups within the community over these attributes are also shown. Statistical tests indicate that aggregated utility perceptions can represent the utility perceptions of the individual subgroups quite reasonably.     

隧道反射地震法超前探测研究

隧道施工地质超前预报是在地下工程施工过程中,采用一些方法或手段预测掌子面前方一定范围内存在的不良地质体或地质界面的位置、性质和规模,为安全、快捷、持续施工采取防范措施提供可靠的依据。本文在详述隧道反射地震法超前探测原理的基础上,分析地下全空间情况下,震源与接收点之间的地震波场运动关系,讨论观测系统的优化设计方案,较全面地总结隧道反射地震法超前预报时距曲线规律。同时开发一套隧道反射地震法超前探测数据处理系统(TRSP1.0),该系统涵盖波形处理、正演模拟、成像处理和岩石动力学参数提取等功能模块,给出合理的处理流程。通过理论模型和实际数据测试验证,取得较理想的效果。     

分段施工PC梁桥线形的分形预测方法

充分考虑到分段施工PC梁桥施工阶段线形变化的非线形,复杂性和随机性,提出一种基于分形理论的节段线形预测方法。采用滚动选取预测样本降低原始误差累计的方法,建立了节段施工线形预测理论模型。将此模型应用于黄河大桥悬臂施工线形预测控制中,按节段施工周期依次预测下一节段的线形指标,结果证实了分段施工PC梁桥线形变化的分形特征,与实测和理论值相比,预测值具有较高的工程精度。     

宁波轨道交通轨道振动预测研究及优化

在轨道交通初步设计阶段地下线轨道减振设计中,对距外轨中心线两侧10~60 m范围内的环境敏感点,往往采用踏勘、工程类比等经验方法进行设计,具有一定的误差。在采用《环境影响评价技术导则城市轨道交通》(HJ453—2008)振动预测模型的基础上,参考北京、上海等城市的经验,研究适用于宁波轨道交通地下线轨道振动预测模型,并采用计算机语言实现预测模型程序化以提高设计效率。在初步设计阶段,振动预测的标准化、自动化,对稳定区间轨道高度,细化概算投资,减少设计反复具有重要意义。