农用车辆配套简易播种机设计

文章介绍的旋耕播种机主要由六个部分组成,即:悬挂装置、动力传输装置、旋耕装置、播种装置、镇压装置和链条传动装置。农用车辆拖拉机前进后镇压装置也向前运行带动链条传动装置,与之另一端连接的播种箱的播种轴也随之转动,使种子从排种孔中流出顺着播种管与播种开沟器流出最后流入垄沟,从而实现播种机的播种作业。播种机播种后的农作物生长均匀分布排列整齐,这样可以便于人们实现播种过后对田地的管理作业,也是人们实现农业机械现代化的重要技术手段之一。     

浅析结合用户调研管理汽车感知质量

文章首先综合分析的当前国内乘用车市场形势,提出汽车感知质量提升势在必行,接下来分析了行业内主流的用户调研手段,研究了用户调研与感知质量两者之间的关系,总结了用户调研信息对感知质量管理的作用。     

油库工业控制系统信息安全防护措施简析

本文结合某港油库的工业控制系统信息安全升级项目,介绍了该港根据《工业控制系统信息安全防护指南》、《工业控制系统信息安全行动计划(2018-2020)》以及国内外相关标准规范的要求,通过多角度评估,建立健全油库工业控制系统的安全保障体系,实现对其全方位的防护。     

Effects of passenger characteristics and terminal layout on airport retail revenue: an agent-based simulation approach

This paper examines the effect of passenger characteristics and terminal layout on airport retail revenue using an agent-based simulation approach. Simulation results show that passenger mix (that is, the mix of shopper types according to a typology of airport shoppers) has a profound effect on airport retail revenue; the larger the number of ‘shopping lovers’ there are among passengers, the higher the airport retail revenue. Results also reveal that group travel can lead to negative effects on retail in certain terminal layouts, and that the amount of free dwell time that a passenger has can affect spending due to less retail engagement. This paper shows a combined effect of passenger characteristics and terminal layout on airport retail revenue, and discusses the implications of these results for future airport terminal design that aims to maximise retail potential.     

Failure mode and effects analysis of dual levelling valve airspring suspensions on truck dynamics

Failure mode and effects analysis are performed for a dual levelling valve pneumatic suspension to determine the effect of suspension failure on tractor–semi-trailer dynamics, using a detailed model of suspension pneumatics coupled with a truck dynamic model. A key element of failure analysis in suspensions with one or two levelling valves is determining the effect on the vehicle body roll when one or more failures occur. The failure modes considered are mainly the suspension pneumatic components, including clogged levelling valve, bent control rod, disabled lever arm, and punctured or leaking connectors and pipes. The pneumatic suspension is modelled in AMESim, with critical parameters established through component testing. Upon validating the AMESim component model experimentally, the pneumatic suspension model is integrated into TruckSim for studying the consequences of suspension failure on truck dynamics. The simulation results indicate that the second levelling valve in a dual-valve arrangement brings a certain amount of failure redundancy to the system, in the sense that when one side fails, the other side can compensate for the failure. Equipping the trailer with dual levelling valves brings an additional stabilising effect to the vehicle in the event of tractor suspension failure.     

不同RAP掺量下就地热再生沥青混合料空隙率优选分析

依托福建省某高速路面预防性养护工程,采用最大理论密度线理论设计了再生沥青混合料级配,通过马歇尔试验研究了RAP料在86%、90%、94%掺量下再生沥青混合料空隙率的变化,并基于二次回归方程建立了不同RAP掺量与再生沥青混合料空隙率之间的回归方程,说明了不同RAP掺量与空隙率之间的变化趋势。研究结果表明:随着RAP料掺量增加,再生沥青混合料空隙率在逐渐降低;当再生沥青混合料空隙率控制在4%时,RAP料掺量约为89%。     

SBS/橡胶粉复合改性SH型混合生物沥青工艺及机理

为探究复合改性技术提升混合生物沥青路用性能的工艺及机理,针对特定来源的SH型生物沥青,将其与石油沥青共混制备混合生物沥青后进行SBS/橡胶粉复合改性,研究改性顺序及改性剂掺量对复合改性沥青常规路用性能的影响、生物沥青掺量对改性剂溶胀特性与复合改性沥青高温及低温性能的影响,由此确定混合生物沥青复合改性工艺;利用多应力重复蠕变恢复（MSCR）、弯曲梁流变（BBR）和频率扫描（FS）试验评价复合改性沥青的流变特性;借助红外光谱（IR）化学官能团分析以及荧光显微镜（FM）和原子力显微镜（AFM）微观形貌观测分析揭示混合生物沥青复合改性机理。研究结果表明：SBS掺量为2.5%,橡胶粉掺量为18%（内掺）时,按照先SBS改性后橡胶粉改性的顺序制备的复合改性沥青的常规路用性能均较优;生物沥青掺量为15%时改性剂溶胀特性与复合改性沥青的高温及低温性能均较佳;SBS/橡胶粉复合改性在显著提升混合生物沥青弹性恢复率与m值的同时还降低了其不可恢复柔量与劲度模量,即改善了混合生物沥青的高温稳定性与低温抗裂性,且此结果与FS复数模量主曲线结果相一致;生物沥青可有效增溶聚合物改性剂并增强聚合物相网络结构,从而显著提升沥青复合改性效果;对混合生物沥青进行SBS/橡胶粉复合改性后未出现新的特征吸收峰,此复合改性过程属于物理变化;沥青厂生产的复合改性沥青性能优于实验室水平制备的复合改性沥青。     

BRT专用车道站台段钢桥面铺装的一种解决方案

BRT专用车道的定点停车位作为铺装的薄弱点,若铺装层的高温动稳定性不足将造成该处形成剪切推移、车辙等病害。以贵阳市中环路为背景,对BRT专用车道站台段钢桥面铺装的四个方案进行比选,并选取热拌式沥青混凝土作为实施方案,经验证效果良好,可为国内外的类似工程提供参考。     

Bayesian network for red-light-running prediction at signalized intersections

Abstract

Red-light-running (RLR) is an important reason for the large number of intersection-related fatalities, injuries, and other losses. The accurate RLR prediction can effectively reduce crashes caused by RLR behavior. The RLR prediction is usually composed of two parts: the vehicle’s stop-or-go behavior and the arrival time when the vehicle reaches the stop line. Previous stop-or-go prediction models are usually based on embedded traffic sensors using machine learning algorithms. While based on the continuous trajectories collected by radar sensors, RLR prediction can be conducted more effectively. In this paper, a probabilistic stop-or-go prediction model based on the Bayesian network (BN) is proposed for RLR prediction. We extend the deterministic output into the probabilistic output, which provides decision-makers with greater autonomy. The causality of BN improves the interpretability of the prediction model. The BN model is calibrated and tested by the continuous trajectories data measured by radar sensors installed at a signalized intersection. We not only consider the movement measurements of individual vehicles (e.g., speed and acceleration), but also take into account the car-following behavior. As a comparison, different machine learning models and the model based on the inductive loop detection (ILD) are adopted. The results show that the proposed BN model has a high prediction accuracy and performs better in the feature interpretation. This paper provides a new way for probabilistic RLR prediction based on continuous trajectories, which will significantly improve traffic safety of signalized intersections.     

Analyzing urban bus service reliability at the stop, route, and network levels

Improving the reliability of bus service has the potential to increase the attractiveness of public transit to current and prospective riders. An understanding of service reliability is necessary to develop strategies that help transit agencies provide better services. However, few studies have been conducted analyzing bus reliability in the metropolis of China. This paper presents an in-depth analysis of service reliability based on bus operational characteristics in Beijing. Three performance parameters, punctuality index based on routes (PIR), deviation index based on stops (DIS), and evenness index based on stops (EIS), are proposed for the evaluation of bus service reliability. Reliability involves routes, stops, punctuality, deviation, and evenness. The relationship among the three parameters is discussed using a numerical example. Subsequently, through a sampling survey of bus lines in Beijing, service reliability at the stop, route, and network levels are estimated. The effects of route length, headway, the distance from the stop to the origin terminal, and the use of exclusive bus lanes are also analyzed. The results indicate low service reliability for buses in Beijing and a high correlation between service reliability and route length, headway, distance from the stop to the origin terminal, and the provision of exclusive bus lanes.