Road Construction Planning Research Articles

Using Geodetic Methods in Road Construction Planning: To What Extent Will It Be Effective?

Sustainable development is a well-known concept that is widely applied nowadays. One of the applications of this concept is through an effective planning process, such as road construction planning. Cut and fill volume measurement is an integral part of such a process, which utilizes several geodetic methods. The most commonly used instruments are waterpass and electronic theodolite (total station), but there are significant differences in their concepts. Different observation methods of these two tools can affect their effectiveness. Therefore, in this study, the accuracy and efficiency of waterpass and electronic theodolites were measured and analyzed using the cross-section method to gauge the effectiveness of the ABC road construction project in Sumatra. The results show that although the accuracy of the electronic theodolite is lower than that of waterpass, it might be the preferred method because it saves time and reduces the cost of volume measurement, making it both practical and highly efficient.

Road Development Planning Meeting in Banua Anyar Urban Village, East Banjarmasin Sub-District, Banjarmasin City

This study aims to analyze road development planning in Banua Anyar Village, East Banjarmasin Subdistrict, Banjarmasin City. It identifies constraints and obstacles during the planning meetings in Banua Anyar Subdistrict. The research uses a qualitative approach with a descriptive method. Key informants are the Banua Anyar Village Head and the Head of the Economic and Development Section. Data collected through observation, structured interviews, and documentation. The results show that road construction planning in Banua Anyar Village does not fully comply with existing regulations. Issues include incomplete public information about musrenbang schedules, limited community involvement, and selective invitation to meetings. Facilitators' skills in guiding discussions were also rated poorly. Constraints involve inadequate facilities and places for road construction planning, and sub-optimal human resources from the sub-district and other agencies. This hinders the optimal implementation of Musrenbang according to statutory regulations. To improve, address these shortcomings, and enhance facilitators' skills. Additionally, allocate better resources and infrastructure to ensure effective road development planning in Banua Anyar Village, Banjarmasin City

STUDY ON THE EFFECTS OF SOIL-CEMENT STABILIZATION IN THE LOWER ROAD FOUNDATION LAYER USING SPENT BLEACHING EARTH STABILIZER IN TERMS OF SOIL PHYSICAL PROPERTIES

In road construction planning, soil plays a primary role that will be examined. In geotechnical engineering, soil stabilization is one of the engineering sciences and efforts to enhance soil characteristics. Unbeknownst to many, ideas and concepts are generated to create new innovative materials that can replace or supplement existing materials. Based on this, the concept of utilizing spent bleaching earth (SBE) waste material emerged. With the advancement of engineering knowledge, particularly in the field of geotechnical engineering, soil stabilization is employed as an effort to improve soil characteristics. By utilizing SBE and cement as materials for soil stabilization in dams, the changes in the physical properties of the embankment soil before and after stabilization are examined. The physical property results are obtained through testing. Each obtained result is compared against the lower road foundation layer specifications based on the General Specifications for Road and Bridge Construction Works 2018 (Revision 2). Based on the testing and analysis, the plasticity index value with an optimum content of 10% and a curing time of 14 days, which is 7.576%, has met the requirements for constructing Class B roads' lower road foundation layer.

The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example

Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.

The Process of Management and Control of Feasibility Planning of Road Construction Using the Financial Information System

Technical and economic planning control and effective organization of management processes in current situations are particularly significant. This is essential to automate orders and handle them effectively. Hence, the solution of tasks associated with planning, accounting, and distribution of orders is of great practical significance. The financial information system that operates at the enterprise does not allow sufficient automation of the enterprise's work and divisions. Analysis of the information system has revealed that automation of document flow and information flows of employees of the "planning and economic Department" is inadequate.Consequently, research objects are the business process - "Technical and economic planning" and the task "Distribution of orders by teams." The subsystem «Technical and economic planning» was produced, indicating the subsystem's tasks and the functions of the tasks. A connection diagram was composed of the tasks of this subsystem with the tasks of other subsystems. The task «Distribution of orders by teams» was expanded and implemented as a software product in the 1C programming environment. The chief issues of ensuring the information security of enterprises and the direction of forming a system of protection of information resources, particularly of limited access resources, are considered. The effectiveness of the implementation of the task “Distribution of orders by teams” were assessed: the annual economic effect of the implementation amounted to 2237, 03 rub.; the cost of developing a software product – 25715,40 rub.; discounted payback period is 11 months.

A higher-order tensor voting-based approach for road junction detection and delineation from airborne LiDAR data

The location and delineation of road junctions produce valuable inputs for road network understanding and topology reconstruction; the results also serve as basic information for road construction planning, emergency rescue, and large-scale data registration. This study addresses fully automatic road junction detection and delineation from airborne lidar (or LiDAR – light detection and ranging) data. For this purpose, a higher-order tensor voting-based approach is developed, which can locate road junctions by identifying multidirectional features in encoded higher-order tensor models. This approach comprises three main steps. First, a roughness-enhanced Gabor filter is implemented to process both the lidar-derived intensity image and the normalized digital surface model to extract homogeneous elongated structural keypoints. Second, these keypoints are fed into a higher-order tensor voting algorithm to recognize road junction candidates. We modified the method for encoding higher-order tensor models to enable the algorithm to deal with both antipodal symmetric and nonsymmetric junctions. After a higher-order tensor decomposition, the number of road branches and their directions are obtained; road junction candidates were then located. Third, by matching the results with a geometric template, road junction delineation is performed to retrieve the junction center position and the road branch directions and widths. We tested our method in two study areas and assessed the quality of the results by comparing them with ground-truth data. The results proved the validity of this approach in both urban and semiurban scenarios. We also compared our method with other junction detection algorithms and analyzed the parameter influence of the approach to essential parameters.

Level of gas emissions of passenger car on climb road segment

Each island in Indonesia has its own topographical characteristics, which generally consists of plains, plateaus, hills and mountains. This topography influences vertical alignment of the roads. Gradient of vertical alignment on road construction planning is maximum 10%, but in facts it is shown that in some areas they are reached more than 10%. While the vehicle gas emission test in Indonesia currently only apply for public transport and freight cars, where the test is only performed on a flat road and in idle conditions without considering geometric aspects. Passenger cars are not subject to this test contrary to the increase of their population of about 10-15% annually which is much higher than the public transport. This research aims to determine the level of gas emissions of passenger cars on climb road segment (vertical alignment). The methods of analysis are by using distribution frequency of the vehicle gas emissions data test of passenger cars in dynamic condition on climb road segment. This research conduct with Gas Analyzer Equipment which is measured CO, CO2, HC, and Lambda (The composition of gasoline and Air). Sample of passenger cars used by two cars with the same specification and different age. The data used in this research are passenger cars speed with three variations are 30, 40 and 50 kph. The gas emissions test of passenger cars is performed on the road which have the gradient of vertical alignment is maximum 10%, and this test is regardless to the value of skid resistant, roughness and driver characteristics. The result shown that climb and slope road segment influence the level of gas emissions of passenger cars for CO and CO2 has almost the same value. The condition climb and slope road segment for Lambda 0.99 % volume, the value of CO volume is 0.35% volume and CO2 is 12.3% volume. While the content of HC has different characteristics that is when the vehicle climb, HC content lower than when the vehicle slope. When the mixed composition of fuel and air (Lambda 0.99% volume), the vehicle climbed about 11.5 ppm and when the vehicle sloped about 30.5 ppm. The ratio of HC between vehicles climbed and sloped is 1: 2.

A stand-level tool for predicting the natural regeneration density of black spruce and jack pine following fire and salvage

A tool was developed to allow managers and foresters to quickly assess reforestation needs following forest fire and salvage logging at the stand level in both pure and mixed black spruce and jack pine stands. This on-site operational assessment tool was created using a forest regeneration model that simulates the natural regeneration densities of black spruce and jack pine following fire and salvage. Tree species basal areas used for simulations represent the natural range expected in the field. Additional parameters include the abscission schedule of the species, the percentage of optimal (exposed mineral soil or humus) post-fire seedbeds, and the timing of the salvage operation. The tool also allows for rapid planning of both salvage operations and planting. It has important advantages over conventional seedling surveys in that it can be employed immediately following fire, can guide management decisions about the planning of road construction and the harvest sequence, and takes into account the entire establishment phase. Using the tool to adjust the harvesting schedule to minimize replanting, the likely final cost of reforestation can be estimated for an entire burn. The tool shows that a higher percentage of optimal seedbeds are necessary following salvage: (1) for black spruce to regenerate adequately compared to jack pine (i.e., planting of black spruce will almost always be necessary); (2) as basal area of the species of interest decreases; and, (3) to adequately regenerate burned intact and salvaged stands in late-season fires compared with those from early-season fires.

昼间气象条件对城市道路绿化带空气净化效果影响的研究——以太原市为例

PDF HTML阅读 XML下载 导出引用 引用提醒 昼间气象条件对城市道路绿化带空气净化效果的影响——以太原市为例 DOI: 10.5846/stxb201304210761 作者: 作者单位: 山西农业大学农学院,山西农业大学,山西农业大学,山西农业大学,山西农业大学,山西农业大学,山西农业大学 作者简介: 通讯作者: 中图分类号: TU985.18;X51 基金项目: 国家自然科学基金资助项目(30870434) Effects of meteorological factors on air purification by green belts along urban roads in the daytime: a case study in Taiyuan Author: Affiliation: Shanxi Agricultural University,Shanxi Agricultural University,Taigu China,Shanxi Agricultural University,Taigu China,Shanxi Agricultural University,Taigu China,Shanxi Agricultural University,Taigu China,Shanxi Agricultural University,Taigu China,Shanxi Agricultural University,Taigu China Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:道路绿化带可以净化空气,改善道路环境,道路中的小气候条件会改变道路污染物扩散方式和速度,进而会影响到绿化带对污染物净化效果。气象条件对道路绿地对大气污染物净化效果影响的研究将有助于了解道路绿地的净化途径,为改善城市道路环境提供依据。对太原市18个道路绿地气象因子和5种主要污染物浓度进行了观测。结果表明:夏季,太原市城市道路内各气象要素之间存在一定的相关性,气温和地温正相关显著,空气相对湿度与地温及气温呈显著和极显著负相关。大部分情况下,有绿地非机动车道污染物平均浓度低于无绿地非机动车道对照点平均浓度,即道路绿地起到了对道路污染物的净化作用。道路绿地对污染物的净化百分率与气象因子存在显著的回归关系,并可以建立达到统计显著水平的回归方程,但不同污染物受不同的主导气象因子影响。 气象条件会影响道路绿地对道路污染物的净化效果,今后的城市建设和道路绿地规划中应更多地考虑气象条件对绿地净化效果的影响。 Abstract:Green belts along roads can purify the air and improve the air quality along the roads. The microclimate conditions around a road will affect the manner and speed of pollutant diffusion, and it may affect how effective the green belt is in removing pollutants from the air. In this study, the effects of microclimate conditions on the removal of pollutants by green belts along roads were monitored, and the results will provide a basis for improving the road environment by improving our understanding of the manner in which the air around roads is purified by green belts. Microclimate conditions (wind speed, air temperature, relative humidity in the air, surface temperature, and air pressure) and the concentrations of five major pollutants, SO2, NOx, NH3, total suspended particles (TSP) and respirable particulate matter (PM10), were observed along 18 roads with green belts in the city of Taiyuan. The meteorological elements correlated with each other along the Taiyuan roads in the summer. There were significant positive correlations between the wind speed and the surface temperature, and the air and surface temperatures also significantly positively correlated. However, the relative humidity, the surface temperature, and the air temperature were significantly negatively correlated. In most cases, the average pollutant concentration caused by non-motorized vehicles when a green belt was present was lower than the average pollutant concentration caused by non-motorized vehicles when a green belt was not present, so the green belt appeared to play a role in removing pollutants from the air around the road. The percentages of the concentrations of the five pollutants that were removed by the green belt had significant regression coefficients with the meteorological factors. Regression equations, and the statistical significances of the regressions, were established for the relationships between the pollutant removal percentages and the meteorological factors, but different pollutants were affected by different meteorological factors. The SO2 removal percentage was mostly affected by the wind speed and air temperature, the percentage removed increasing with both meteorological conditions. The NOx removal percentage was mainly affected by, and increased with, the ground temperature. The NH3 removal percentage was mainly influenced by, and increased with, the air temperature. The TSP removal percentage was mainly affected by, and increased with, the air humidity. The PM10 removal percentage was mainly affected by, and increased with, the air temperature and air pressure. Green space regulates, to a certain extent, the surrounding microclimate, and can cause the air temperature to decrease and the air humidity to increase in the summer. A decrease in air temperature around the road will decrease the rate of vertical diffusion of NOx, NH3, and PM10, but an increase in air humidity will promote a decrease in TSP concentrations around the road. In future ‘green’ road designs, an appropriate increase in the road green belt area will be beneficial in both improving the road microclimate environment and in decreasing the concentrations of solid contaminants (TSP) in the air. However, it will probably not be effective in improving the diffusion of NOx, NH3, and PM10. Weather conditions will affect the pollutant removal percentages achieved by green belts along roads, so more meteorological studies need to be conducted along road green belts to provide the information needed to improve our ability to achieve pollutant removal using green belts along roads in urban areas, and to improve road construction planning. 参考文献 相似文献 引证文献

A Novel Method for Rural Road Construction Planning Using Quad-Tree Decomposition on the Satellite Image

Rural roads construction projects are expensive, this has led to difficulties in developing accurate construction plans and modeling the construction operation using a novel simulation system. In this field, the aim of this research is to create a knowledge driven rural road construction simulation system to assist satellite image in generating s and reliable road construction plans. Road construction operations of the resources have been identified, developed, classified and modeled through a comprehensive analysis of a Simulink road construction projects. For every road construction operation a GIS-based template for little models was defined and developed. The models abridge distance of the path on the roads construction between villages and automating the optimizing of works. Also, the models provide a roadmap for evaluating several shortest paths on road construction via Quad-tree decomposition of the satellite image. A simulation case study was modeled to identify applicability, usefulness and accuracy of the developed simulation system and results are presented in this paper. The study fulfilled that the system generated for fast marching.

所沢市中富地区の歴史的景観保全と農業振興計画―景観保全と農業振興の両立を誘引するソーシャル・キャピタルの形成と変容―

This paper explores the development process of social capital associated with changes in farmers' attitudes for rural cooperation over time, and suggests the direction of effective agricultural development planning in Nakatomi, where the rural road construction planning is under way, constrained by landscape conservation.

Development and Implementation of a Construction Material Information System

The exploitation of aggregates and soils for highway construction has a considerable impact on the economy and the environment and it is important that utilization of these materials is cost-effective. Obtaining and maintaining good records is costly and requires professional expertise. With modern computer technology it is possible to store information systematically and compactly. If quarry information is available in one central locality, better planning of road construction and maintenance and better management of materials resources can be realized. The research undertaken to create a materials information system in Indonesia is described. A pilot system was designed and tested in the province of West Java and comprehensive data collected from about 800 quarry sites. The Indonesian Directorate General of Highways, encouraged by the results of the pilot study, decided to introduce the system to all 27 provinces of Indonesia. Training courses were held to teach good practice and were successful because of improvements in the quality and quantity of data provided, but there is still scope to improve the utilization of the system by potential users. With accurate data the system is an improvement on the status quo. The system is simple to use, can be updated when necessary, and provides the basic information required by highway engineers. It is transferable to other countries in transition with minimal alteration. The data can be used in conjunction with terrain classification and Geographic Information Systems packages (such as MapInfo) to indicate potential new material sources.