Implementation and validation of a three degrees of freedom steering-system model in a full vehicle model

This paper describes the coupling between a three degrees of freedom steering-system model and a multi-body truck model. The steering-system model includes the king-pin geometry to provide the correct feedback torque from the road to the steering-system. The steering-system model is combined with a validated tractor semi-trailer model. An instrumented tractor semi-trailer has been tested on a proving ground and the steering-wheel torque, pitman-arm angle, king-pin angles and drag-link force have been measured during steady-state cornering, a step steer input and a sinusoidal steering input. It is shown that the steering-system model is able to accurately predict the steering-wheel torque for all tests and the vehicle model is accurate for vehicle motions up to a frequency where the lateral acceleration gain is minimum. Even though the vehicle response is not accurate above this frequency, the steering-wheel torque is still represented accurately.     

Bus running time prediction using a statistical pattern recognition technique

Abstract

Given that real-time bus arrival information is viewed positively by passengers of public transit, it is useful to enhance the methodological basis for improving predictions. Specifically, data captured and communicated by intelligent systems are to be supplemented by reliable predictive travel time. This paper reports a model for real-time prediction of urban bus running time that is based on statistical pattern recognition technique, namely locally weighted scatter smoothing. Given a pattern that characterizes the conditions for which bus running time is being predicted, the trained model automatically searches through the historical patterns which are the most similar to the current pattern and on that basis, the prediction is made. For training and testing of the methodology, data retrieved from the automatic vehicle location and automatic passenger counter systems of OC Transpo (Ottawa, Canada) were used. A comparison with other methodologies shows enhanced predictive capability.     

高性能混凝土配合比设计方法研究

结合重庆石板坡长江大桥复线桥高性能混凝土应用研究,应用数值分析方法回归得到了高性能混凝土28 d立方体抗压强度与胶凝材料比例、水泥强度、胶水比的多元线性关系,为高性能混凝土配合设计提供了参数计算的依据。     

An improved headway-based holding strategy for bus transit

Abstract

This paper presents an improved headway-based holding strategy integrating bus transit travel and dwelling time prediction. A support vector machine-based (SVM) model is developed to predict the baseline travel and dwell times of buses based on recent data. In order to reduce prediction errors, an adaptive algorithm is used together with real-time bus operational information and estimated baseline times from SVM models. The objective of the improved holding strategy is to minimize the total waiting times of passengers at the current stop and at successive stops. Considering the time-varying features of bus running, a ‘forgetting factor’ is introduced to weight the most recent data and reduce the disturbance from unexpected incidents. Finally, the improved holding strategy proposed in this study is illustrated using the microscopic simulation model Paramics and some conclusions are drawn.     

砂性地层地铁暗挖施工地表沉降预测方法

通过对地层沉降机理和地表沉降空间分布形态的分析,对Peck公式进行了修正,把隧道中轴线处地表沉降z中和地表沉降槽的宽度系数i都拓展成y的函数,得到了适用于砂性地层地铁暗挖施工开挖进程的三维空间地表沉降预测方法。根据沈阳地铁实际工程地表沉降实测值反推出预测公式中z中(y)和i(y)的具体形式及其他系数值,并对不同断面横向地表沉降计算值和实测值进行对比分析,结果证明该预测方法可应用于工程实践。     

Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor

Abstract

With the development of urbanization, road congestion has become increasingly serious, and an important cause is the traffic accidents. In this article, we aim to predict the duration of traffic accidents given a set of historical records and the feature of the new accident, which can be collected from the vehicle sensors, in order to help guide the congestion and restore the road. Existing work on predicting the duration of accidents seldom consider the imbalance of samples, the interaction of attributes, and the cost-sensitive problem sufficiently. Therefore, in this article, we propose a two-level model, which consists of a cost-sensitive Bayesian network and a weighted K-nearest neighbor model, to predict the duration of accidents. After data preprocessing and variance analysis on the traffic accident data of Xiamen City in 2015, the model uses some important discrete attributes for classification, and then utilizes the remaining attributes for K-nearest neighbor regression prediction. The experiment results show that our proposed approach to predicting the duration of accidents achieves higher accuracy compared with classical models.     

基于远程监测的车辙等效温度预估模型建立

针对沥青路面车辙等效温度预估模型建立过程中,路面温度预估模型无法快速准确地测定不同时刻各深度结构层的实时温度数据和计算过程复杂等问题,通过埋设温度传感器,连接实时温度监测系统,采集不同时刻各深度结构层的实时温度。同时通过自行开发的计算程序,建立车辙等效温度预估模型。研究结果表明,远程监测系统可即时建立车辙等效温度预估模型,为公路养护的及时性和制定长周期养护规划提供可靠基础。     

城市道路交通对汽车产业的影响

近年来随着城市道路交通的发展,汽车产业在中国飞速发展,取得了辉煌的成就。汽车产业与城市道路交通之间有着密切的关系,城市道路交通的完善对汽车产业具有巨大的促进作用。本文以每年的汽车总销量为因变量,以城市道路长度和城市道路面积为主要自变量,通过建立线性回归模型来分析城市道路交通对汽车产业的影响,并对未来汽车产业的发展作出有根据的预测,为企业和政府制定汽车产业发展计划提供了一定的依据。     

Suppression of thrust fluctuation of doubly-fed linear motor

Because the mover and stator of a doubly-fed linear motor are both equipped with three-phase windings,the motor enables contactless energy to be transferred from the stator to the mover.Thus,when a dou...