人工智能高分遥感影像路网规模测算方法探讨

为准确测算出符合广西当前发展形势和客观需要的农村公路里程总规模,明确未来广西农村公路网发展的重点方向和发展路径,文章应用人工智能高分遥感影像路网规模测算方法,通过人工智能技术识别与提取高分辨率遥感影像数据,利用深度神经网络高分遥感影像路网识别提取与矢量化技术和GIS技术,对影像覆盖区域的地形地貌进行分类,通过对不同地形地貌下影像识别路网与实际公路里程间存在的潜在关联进行分析,提出了高分遥感影像路网规模测算模型,科学测算了广西公路网总量规模。     

中国和山东公路发展轨迹探求

主要阐述求解山东公路网发展轨迹所来用的理论、模型和方法，分别计算公路网总里程、高速公路里程、二级及二级以上公路里程以及各时期的相应值，以反映未来中国、山东省公路网的合理规模和结构。     

基于灰色关联度的区域公路网规模预测研究

公路网规模预测是区域公路网规划的重要内容,影响区域路网发展规模的因素既有单因素又有复合因素。本文引入熵值的概念,量化反映区域城市发展的均衡性,通过灰色关联度法,确定关联度最高的几个影响因素,建立组合模型预测公路网规模,并结合浙江省的具体情况进行实例分析。     

西宁市农村公路网建设规划研究

分析了西宁市农村公路网存在的主要问题,结合农村公路网规模预测结果,提出了西宁市2014年~2015年农村公路网建设的主要目标和主要任务。     

谈农村公路路网布局的优化处理

阐述如何合理的进行公路网密度的优化处理,使公路网布设更加科学合理.     

基于旅游资源节点的旅游公路网布局方法研究——以桂林市旅游公路为例

为优化基于旅游资源节点的旅游公路网布局,文章从旅游资源价值的角度出发,以桂林市为实例,综合运用“基于交通通达功能”和“基于旅游资源评价”两种布局方式,构建基于旅游资源节点的路网,通过辐射范围测算及综合效果评估对桂林旅游公路网布局方案进行评价,以期促进桂林旅游公路规范化发展,构建交旅融合的旅游公路体系。     

基于类比法确定天津公路建设目标

通过类比法研究国外发达国家路网总里程、等级结构等,制定天津市公路发展战略,明确发展步骤,使得公路网具备规模适当、层次分明、结构合理等特征,充分发挥公路网在经济发展中的先导作用,促进经济社会快速发展的需要。     

南宁市城市道路建设的影响因素分析

文章以南宁市“十二五”期间城市道路网建设规划为例,根据城市道路建设的影响因素类别,剖析并协调道路建设的重大影响因素,并通过指标测算确定了规划期内道路网建设的合理规模.     

从路网结构分析我国高速公路的合理规模问题

本文在公路功能分类与路网结构效率分析的基础上,结合中美两国公路网结构的比较研究,对我国规模过大的高速公路网规划提出不同看法。     

公路网规划环境影响评价内容、程序和方法体系研究

在总结研究目前国内已有公路网规划环境影响评价工作的基础上,根据规划环境评价的目标要求和公路网规划的实际,提出了包括内容、程序和方法等的公路网规划环境影响评价体系,提高现有公路网规划环境评价能力和未来公路网规划环境评价质量。     

南宁市城市道路建设的影响因素分析

如何科学合理地进行城市道路网建设是目前城市建设的核心问题。文章以南宁市十二五期间城市道路网建设规划为例,介绍了城市道路建设影响因素的类别及内容,分析了交通基础设施建设、重大项目建设、旧城改造、管网建设、外围城镇发展等与城市道路路网建设的相互关系,并通过指标测算确定规划期内道路建设的合理规模。     

A contribution to environmentally friendly winter road maintenance: Optimizing road de-icing

This article deals with the specific road phenomenon in winter, when driving conditions suddenly become significantly worse, although the global weather conditions have not significantly altered. Recognizing and adjusting to such fast changing conditions has been one of the most difficult and demanding tasks for the winter road maintenance services. Nevertheless, it is known that some events can be predicted. The road temperature pattern is studied formally in terms of the road temperature function, thus enabling predictions about the temperature range on different road sections. It is claimed that the road temperature pattern is predictable when only a very small number of carefully chosen measuring spots are taken into account. Furthermore, the methodology of defining temperature measuring locations is described.     

The interaction between road traffic safety and the condition of sewers laid under roads

The main objective of this paper is to show how the service condition of the underground pipeline infrastructure, especially sewage systems, may contribute to road surface failures such as subsidence, bulging and particularly collapse. The analysis was based on CCTV surveys conducted in Poland to investigate the causes of more than a hundred road surface collapse incidents.The method proposed in this paper enables us to determine the risk of road surface collapse as the product of the category of probability of road collapse caused by damaged sewer pipelines and the weighted arithmetic mean category of their consequences.The key conclusions highlight the causes of road collapse incidents, the scale of the hazards, and the benefits resulting from the application of the proposed method to prioritize roads according to the road collapse risk.     

广西路网公路沥青路面病害调查及分析

文章通过广西路网公路沥青路面大规模现场病害调查和室内试验,分析了路网公路沥青路面的主要病害类型及损坏特征,建立了路面残余空隙率、面层强度、油石比、基层强度等性能指标与路面损坏之间的关系,可为沥青路面设计及施工提供参考。     

A novel dynamic segmentation model for identification and prioritization of black spots based on the pattern of potential for safety improvement

Road segmentation is one of the most important steps in identification of high accident-proneness segments of a road. Based on the ratio of the Potential to Safety Improvement (PSI) along the road, the objective of the paper is to propose a novel dynamic road segmentation model. According to the fundamental model assumption, the determined segments must have the same pattern of PSI. Experimental results obtained from implementation of the proposed method took four Performance Measures (PMs) into consideration; namely, Crash Frequency, Crash Rate, Equivalent Property Damage Only, and Expected Average Crash Frequency with Empirical Bayes adjustment into the accident data obtained from Highway 37 located between two cities in Iran. Results indicated the low sensitivity of the method to PMs. In comparison with the real high accident-proneness segments, identified High Crash Road Segments (HCRS) obtained from the model, demonstrated the potential of the method to recognize the position and length of high accident-proneness segments accurately. Based on the road repair and maintenance costs limitation index for safety improvement, in an attempt to compare the proposed method of road segmentation with conventional ones, results demonstrated the efficient performance of the proposed method. So as to identify 20 percent HCRS located on a read, the proposed method showed an improvement of 38 and 57 percent in comparison with the best and worst outcomes derived from conventional road segmentation methods.     

Estimating road network accessibility during a hurricane evacuation: A case study of hurricane Irma in Florida

Understanding the spatio-temporal road network accessibility during a hurricane evacuation—the level of ease of residents in an area in reaching evacuation destination sites through the road network—is a critical component of emergency management. While many studies have attempted to measure road accessibility (either in the scope of evacuation or beyond), few have considered both dynamic evacuation demand and characteristics of a hurricane. This study proposes a methodological framework to achieve this goal. In an interval of every six hours, the method first estimates the evacuation demand in terms of number of vehicles per household in each county subdivision (sub-county) by considering the hurricane’s wind radius and track. The closest facility analysis is then employed to model evacuees’ route choices towards the predefined evacuation destinations. The potential crowdedness index (PCI), a metric capturing the level of crowdedness of each road segment, is then computed by coupling the estimated evacuation demand and route choices. Finally, the road accessibility of each sub-county is measured by calculating the reciprocal of the sum of PCI values of corresponding roads connecting evacuees from the sub-county to the designated destinations. The method is applied to the entire state of Florida during Hurricane Irma in September 2017. Results show that I-75 and I-95 northbound have a high level of congestion, and sub-counties along the northbound I-95 suffer from the worst road accessibility. In addition, this research performs a sensitivity analysis for examining the impacts of different choices of behavioral response curves on accessibility results.     

Multi-objective optimization of a road diet network design

The present study focuses on the development of a model for the optimal design of a road diet plan within a transportation network, and is based on rigorous mathematical models. In most metropolitan areas, there is insufficient road space to dedicate a portion exclusively for cyclists without negatively affecting existing motorists. Thus, it is crucial to find an efficient way to implement a road diet plan that both maximizes the utility for cyclists and minimizes the negative effect on motorists. A network design problem (NDP), which is usually used to find the best option for providing extra road capacity, is adapted here to derive the best solution for limiting road capacity. The resultant NDP for a road diet (NDPRD) takes a bi-level form. The upper-level problem of the NDPRD is established as one of multi-objective optimization. The lower-level problem accommodates user equilibrium (UE) trip assignment with fixed and variable mode-shares. For the fixed mode-share model, the upper-level problem minimizes the total travel time of both cyclists and motorists. For the variable mode-share model, the upper-level problem includes minimization of both the automobile travel share and the average travel time per unit distance for motorists who keep using automobiles after the implementation of a road diet. A multi-objective genetic algorithm (MOGA) is mobilized to solve the proposed problem. The results of a case study, based on a test network, guarantee a robust approximate Pareto optimal front. The possibility that the proposed methodology could be adopted in the design of a road diet plan in a real transportation network is confirmed.     

Study on road section environmental traffic capacity model and algorithm under double constraints

The coordinated development of city traffic and environment is a key research content in traffic field in twenty-first Century. Among them, road section environmental traffic capacity analysis is one of the important research issues. It can provide solid theoretical basis and reliable data support for road network traffic optimization control, road traffic pollution control and city traffic structure optimization. This paper analyzed main factors which impacted environmental traffic capacity from two aspects, including road capacity constraint conditions and road traffic pollution control constraint conditions. Then, road section environmental traffic capacity optimization model was established, and method of improved augmented Lagrange function was used to solve the model. Case study showed that, (1) The environmental traffic capacity optimal model and methodology were effective; (2) In order to ensure road section environmental traffic capacity greater than (or equal to) road capacity, some measures could be taken including adjusting motor vehicle type proportion as well as improving emission characteristics of motor vehicles exhausting pollutants.     

A methodology for classification by priority for action: Selecting road stretches for network noise action plans

Road traffic noise is an element of outstanding importance within the overall context of environmental impact. This problem must be technically addressed from an efficient viewpoint, and solutions or alternatives should be considered by means of appropriate and consolidated procedures.Up to now, there is no regulated guideline for establishing well-founded priorities when dealing with the diverse road stretches included in the corresponding Action Plans against noise under the Environmental Noise Directive (2002/49/EC). To this end, the present study proposes a methodology to sort, by priority, road stretches identified by their noise problems and therefore requiring appropriate action. The methodology is based on the so-called “road stretch priority index” (henceforth referred to as RSPI). This index involves a number of variables (called “road stretch priority variables”) that are weighted according to their influence on the road traffic noise problem. Thus, the RSPI makes it possible to prioritize different stretches of the Action Plan. To illustrate the application of the proposed methodology, this paper also describes a real case entailing a difficult choice, applying the proposed methodology to a review of the Action Plan against Noise 2008–2012 in the province of Almería, for the road network of the regional government of Andalusia, Spain.