Summarizing vehicle driving decision-making methods on vulnerable road user collision avoidance

With the development of intelligent vehicles and autonomous driving technology,the safety of vulnerable road user(VRU)in traffic has been more guaranteed,and many research achievements have been made in the key area of collision avoidance decision-making methods.In this paper,the knowledge mapping method is used to mine the available literature in depth,and it is found that the research focus has shifted from the traditional accident cause analysis to emerging deep learning and virtual reality technology.This paper summarizes research on the three core dimensions of environmental perception,behavior cognition and collision avoidance decision-making in intelligent vehicle systems.In terms of perception,accurate identification of pedestrians and cyclists in complex environments is a major demand for VRU perception;in terms of behavior cognition,the coupling of VRU intention identification and motion trajectory prediction and other multiple factors needs further research;in terms of decision-making,the intention identification and trajectory prediction of collision objects are not included in the risk assessment model,and there is a lack of exploration specifically for cyclists'collision risk.On this basis,this paper provides guidance for the improvement of traffic safety of contemporary VRU under the conditions of intelligent and connected transportation.

Pavement performance model for road maintenance and repair planning: a review of predictive techniques

This paper provides a review of predictive analytics for roads,identifying gaps and limitations in current methodologies.It explores the implications of these limitations on accuracy and application,while also discussing how advanced predictive analytics can address these challenges.The article acknowledges the transformative shift brought about by technological advancements and increased computational capabilities.The degradation of pavement surfaces due to increased road users has resulted in safety and comfort issues.Researchers have conducted studies to assess pavement condition and predict future changes in pavement structure.Pavement Management Systems are crucial in developing prediction performance models that estimate pavement condition and degradation severity over time.Machine learning algorithms,artificial neural networks,and regression models have been used,with strengths and weaknesses.Researchers generally agree on their accuracy in estimating pavement condition considering factors like traffic,pavement age,and weather conditions.However,it is important to carefully select an appropriate prediction model to achieve a high-quality prediction performance system.Understanding the strengths and weaknesses of each model enables informed decisions for implementing prediction models that suit specific needs.The advancement of prediction models,coupled with innovative technologies,will contribute to improved pavement management and the overall safety and comfort of road users.

Condition-Based Maintenance Decision-Making for Equipment

At present, condition monitoring and fault diagnosis technology and their application in engineering have been widely studied. Relatively little attention has been paid to condition-based maintenance decision-making for equipment. In this paper,based on the decision-making policy in traditional condition-based maintenance,the connotation of condition-based maintenance for equipment was defined, and its characteristics were analyzed.Working contents of condition-based maintenance for equipment were provided,which were divided into three stages. The influence factors in condition-based maintenance for equipment were analyzed. The key links of equipment maintenance contents and decision-making process were proposed. The condition-based maintenance decision-making policy presented in this paper can provide a practical reference for equipment maintenance.

A Study on Maintenance Management and Maintenance Decision-Making Methods

By comparing the advantages and disadvantages of the main popular maintenance modes, this paper analyses the relationship between maintenance modes, and gives a model of maintenance decision-making. The model can be used in enterprises to minimize life cycle cost (LCC).

Automation in road distress detection,diagnosis and treatment

Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation's economic development.In the whole life cycle of the road,the emergence of disease is unavoidable,so it is necessary to adopt relevant technical means to deal with the disease.This study comprehensively reviews the advancements in computer vision,artificial intelligence,and mobile robotics in the road domain and examines their progress and applications in road detection,diagnosis,and treatment,especially asphalt roads.Specifically,it analyzes the research progress in detecting and diagnosing surface and internal road distress and related techniques and algorithms are compared.In addition,also introduces various road gover-nance technologies,including automated repairs,intelligent construction,and path planning for crack sealing.Despite their proven effectiveness in detecting road distress,analyzing diagnoses,and planning maintenance,these technologies still confront challenges in data collection,parameter optimization,model portability,system accuracy,robustness,and real-time performance.Consequently,the integration of multidisciplinary technologies is imperative to enable the development of an integrated approach that includes road detection,diagnosis,and treatment.This paper addresses the challenges of precise defect detection,condition assessment,and unmanned construction.At the same time,the efficiency of labor liberation and road maintenance is achieved,and the automation level of the road engineering industry is improved.

Maintenance Measures of Urban Road Landscaping

Functions of urban road greening were analyzed firstly,and then problems in the maintenance of urban road greening were discussed. Finally,measures to strengthen the maintenance of urban road greening were put forward,such as strictly controlling design and construction,strengthening greening supervision,enhancing greening maintenance and management and improving maintenance measures,and strengthening the prevention and control of pests and diseases in road greening.

Forest Roads Maintenance and Repair

Forestry intensification requires the construction of new forest roads and quality maintenance of the existing forest-road system.The powerful modern equipment used for forestry processes mechanization puts new requirements on the pavement of the constructed roads but also on their maintenance in good technical condition.Therefore,new roadway requirements are imposed in terms of road pavement and maintenance,i.e.there are new requirements regarding the operational qualitative indicators.

Road System Maintenance in Winter

In order to eliminate the difficulties caused by the presence of snow and ice on the road surface and to create a safe, constant and convenient movement with their design speeds and loads, companies and organizations should apply a set of roads winter maintenance activities. Drifted snow on the roads is determined by a group of factors, which in most cases depend on each other and occur in different combinations. The main factors are: the climate conditions, the specific features of the area, the geometric and constructive elements of the road.

Analysis of Road Bridge Repair and Strengthening Construction Technology

Highway infrastructure plays a crucial role in the healthy development of the social economy.Therefore,China has invested a lot of financial resources in the construction of road and bridge projects in recent years,resulting in the rise in scale and number of road and bridge projects.Simultaneously,the quality of road bridges has garnered widespread attention,necessitating an exploration of common hazards associated with road bridges and the significance of their reinforcement.It is essential to delve into specific technical methods to enhance the quality and service life of road bridges.This paper elaborates on the common hazards faced by road bridges and proposes maintenance and reinforcement strategies to promote the healthy development of road bridge engineering.

Assessment of Performance Based Road Maintenance Practices in Nepal

Roads are the major asset of any country and to conserve them maintenance is essential. The delay of maintenance works can lead the road in the stage of expensive rehabilitation and reconstruction. In Nepal, Department of Roads (DoR) is responsible for maintenance of strategic roads of country. The maintenance practice of the road under Department of Road is predominantly based on Strengthen Maintenance Division Process where several maintenance activities like Routine maintenance, Recurrent Maintenance, Periodic Maintenance and Emergency Maintenance are planned and carried out. The maintenance work is based on traditional quantity and unit price based short term maintenance contracts, where maintenance of physical works is outsourced. Client demands the contractor what work is to be done, when to be do it and the extent of the work. The contractor is paid on the basis of a defined output or quantity accomplished, and the schedule of the rates. DoR engineers required full time supervision of work. Pilot based performance based maintenance practice of road started in Nepal in 2003. The study assesses performance road maintenance practices of road maintenance in Nepal on the basis of the framework of cost efficiency, level of service effectiveness and quality of service. The study concluded that implementation of Performance Based Maintenance Contract (PBMC) was not successful in Nepal as Road Asset condition was not maintained to performance standard. One of the reasons is the weak service delivery of contractor alongside weak contract enforcement from the road agency.

Equipment Maintenance Mode Based on Network Environment

Aimed at the actuality of Peoplep's Liberation Army(PLA) army equipment maintenance, this paper develops equipment maintenance mode based on network,and focuses on the design of maintenance decision-making system. Analyzing maintenance weight is applied to making decision of repair level.The purpose of the research is introducing basic concept and setting up an equipment maintenance mode using military network.Maintenance mode based on network can reduce the costs,enhance the maintenance efficiency, and save the human resource and finance.

A Fuzzy Logic-Based Modeling Method of Deciding Maintenance Policies

To make equipment maintenance policies more suitable to real operations, a fuzzy logic-based modeling method of deciding maintenance policies was proposed in this paper. Five maintenance policies which are built with downtime and breakdown frequency as decision criteria are discussed. To decide efficiently maintenance policies, the decision criteria are divided into low, medium, and high levels. On the basis of the levels, fuzzy sets and membership functions of the decision criteria are established with a fuzzy logic theory. A fuzzy logic algorithm of solving overall degree of satisfaction is presented to select the most efficient maintenance policy for equipment. Finally, the modeling method is tested. Experiment results show that the proposed method can solve efficiently problems of the traditional decision-making bias, and it is more valid and practical than the method of traditional decision-making grid (DMG).

我国公路桥梁养护管理系统发展及展望

为促进我国公路桥梁管养智慧化转型,提高管养效率,综述了我国公路桥梁养护管理系统的研究历程与发展趋势。围绕桥梁养护管理系统发展的3个阶段:无纸信息化的桥梁数据库信息管理阶段,改善状态评估与决策方法的桥梁技术状态评估及维护决策阶段,融合可视化、巡检终端及健康监测系统等手段的桥梁高效化管理阶段,总结各阶段系统功能模块与特点、主要解决的问题及存在的弊端;结合当前桥梁智慧管养方面的研究热点,探讨与展望了以减少人为干预、实现经济高效养护为目标的公路桥梁智慧养护管理系统发展方向。结果表明:当代公路桥梁养护管理系统已基本满足桥梁管养部门的精细化管理需求,但仍存在智慧化程度不足、资源配置合理化欠缺等问题,而融合了智慧感知、智慧判别与决策、多源信息融合手段的桥梁智慧管养系统,将通过多种智能技术感知桥梁多源信息,采用大数据分析与挖掘方法评估桥梁状态,指导管理者实现经济高效的管养决策,达到公路桥梁智慧化养护目的。

基于极限梯度提升和探地雷达时频特征的水泥路面脱空识别

针对探地雷达(GPR)数据解译依赖于人工经验,存在费时费力和主观偏差的问题,提出了基于极限梯度提升(XGBoost)和GPR时频特征的水泥路面脱空识别方法。采用正演模拟、室内试验和现场试验获得了脱空病害数据源,建立含有标签的脱空GPR数据集;通过重采样方法统一GPR数据采样频率,并对预处理后的GPR数据进行时频域特征提取,建立了包含18个时域和12个频域特征的数据集。以时频域特征为输入,是否存在脱空病害为输出,采用XGBoost算法构建脱空识别模型,并与随机森林(RF)和人工神经网络(ANN)算法进行对比。结果表明,模型的识别准确率排序为XGBoost(98.10%)>ANN(95.10%)>RF(93.17%),XGBoost模型识别精度最高,并能在实际路面上准确定位脱空区域。

基于三级养护标准的沥青路面预养护方案多目标加权灰靶决策

针对沥青路面最佳预防性养护策略选择问题,结合关于沥青路面预防性养护指标及规范标准,建立了基于判断性指标、综合性指标和控制性指标的三级预防性养护判断标准。在此标准下,以多年度项目级养护规划为研究对象,结合GM(1,1)预测模型确定预防性养护时段,并引入多目标智能加权灰靶决策模型对适用性预防性养护方案进行优化决策。在此过程中,确定了养护费用、耐久性等8个养护目标并利用博弈论组合赋权法确定权重,选取G30连霍高速甘肃省境内某路段进行决策分析。结果表明:该路段最早需要开展预防性养护的时间为第3年,在第6年底之后不宜再实施预防性养护,在该预防性养护时段内,方案4的综合效益值最大,其值为0.735 8,即应在第4年采取超薄层罩面预养护措施。该方法简单实用,可成为沥青路面预防性养护策略选择的一种新方法。

主要国际大通道形成模式、运维经验及对中国的启示

国际大通道内涵丰富,形成模式多样,融合性强,目前学界、业界尚无统一定义;但其在全球化持续深入背景下,对国家、地区乃至全球发展的基础性、战略性作用日益突出。马六甲海峡、苏伊士运河等主要国际大通道的稳定发展,得益于相关政府的科学规划、协同联动,以及企业主体的国际化运作和绿色、数字实践等。我国对现代国际大通道的建设、研究等起步晚、基础弱,应深入研究国际大通道发展情况,借鉴相关国家政府、企业的经验做法,提升国际大通道建设、维护和把控能力,充分利用国际大通道促进高水平对外开放,推动共建“一带一路”高质量发展,保障我国全球利益和发展安全,推动构建国内国际双循环新发展格局。

道路基础设施管养标准图谱体系

为提升道路基础设施管养标准体系的一致性和完整性,探究了对道路基础设施管养影响较大的重要标准并分析了标准体系的时间、地域特色。建立道路基础设施管养标准规范的引用网络,使用度中心性、半局部中心性、PageRank算法估复杂网络中关键节点的重要性,并引入逼近理想解排序(TOPSIS)法进行综合评估,从标准引用网络中挖掘出具有重要性、代表性、权威性的标准规范。此外,使用基于词云的词频统计方法分析了不同时间段内标准和3个不同地理分区地方标准的主题热点,得到养护技术、养护对象的特点。通过道路管养标准图谱梳理了道路基础设施管养标准的关联与脉络,为完善标准体系提供了重要参考。