Traffic Lines Research Articles

Study on terrain acquisition and processing technology of BDS-3 auxiliary mountain highway

The operation mode of UAV equipped with LiDAR can significantly reduce the efficiency and cost of highway terrain acquisition. At present, due to the complicated terrain and weak signal of mountain road, it is difficult to collect terrain data. In view of the above problems, this paper puts forward the technology of BDS assisted terrain acquisition and processing on complex mountain roads. This paper describes in detail the new signal unfuzzy acquisition and tracking algorithm and multi-antenna positioning and attitude determination technology and equipment of BDS-3 mountain highway, through millimeter wave Lidar altimetry technology, imitation ground flight, air-ground multi-source data combined with air three-direction method and other technologies. To realize efficient 3D collection and 3D reconstruction of massive original images of terrain of complex mountain traffic lines in the range of 100 km. Finally, a case study of 100 km mountain road is taken to verify the effectiveness of the method.

Mapping Ecological Security Patterns Based on Ecosystem Service Valuation in the Qinling-Daba Mountain Area, China: A Multi-Scenario Study for Development and Conservation Tradeoffs

When focusing on biodiversity maintenance, ecological security pattern (ESP) planning gradually becomes a multi-objective planning strategy for sustainable development; wildlife conservation and ecosystem health maintenance should be balanced with local economic development and people’s livelihood enhancement goals. This study focuses on ESP mapping in the Qinling-Daba Mountain area, which is an ecologically significant and socioeconomically underdeveloped area. The tradeoff between conservation and development is made by varying the area of ecological sources and incorporating ecosystem service tradeoffs into ecological source identification through multi-scenario designation. ESPs under six scenarios were generated based on the minimum resistance model, and the important ecological corridors and strategic points in each scenario were identified and compared. The results show the following: (1) The scenario that sets around 30 percent of the study area as ecological sources maintains the integrity of natural ecosystems and leaves space for food and material supply to residents. (2) In this scenario, the ecological sources are connected by 60 corridors that cross 137 townships with high population densities (>100 people/km2) and intersect with major traffic lines at 71 points. Engineering, management, or education strategies must be taken in these townships or intersections to avoid human–wildlife conflicts. (3) The study area needs to construct both short (north–south) corridors linking proximate ecological sources for species’ daily movement and long (west–east) corridors connecting large and distant sources for species’ seasonal migration and gene flow. (4) The multi-scenario approach turns out to be an effective strategy for ESP planning with considerations for development–conservation tradeoffs.

Controlled Traffic Farm: Fuel Demand and Carbon Emissions in Soybean Sowing

Soil compaction between crop rows can increase a machine’s performance by reducing rolling resistance and fuel demand. Controlled Traffic Farm (CTF) stands out among modern techniques for increasing agricultural sustainability because the machines continuously travel along the same path in the field, reducing plant crush and compacting the soil in the traffic line. This study evaluated fuel consumption and CO2 emissions at different CTF intensities in different soil management strategies for soybean crop. The experimental design involved randomized blocks in a split-plot scheme with four replications. The plots constituted the three types of soil management: conventional tillage, no-tillage with straw millet cover, and no-tillage with brachiária straw cover. The subplots constituted for agricultural tractors were passed over in traffic lines (2, 4, and 8 times). We evaluated agricultural tractor fuel consumption, CO2 emissions, and soybean productivity. The straw cover and tractor-pass significantly affected the fuel consumption and greenhouse gas emissions of the soybean cultivation. Fuel consumption and CO2 emissions were reduced due to the machine-pass increase, regardless of soil management. Thus, a CTF reduces rolling resistance and increases crop environmental efficiency. Bare-soil areas increased by 20.8% and 27.9% with respect to fuel consumption, compared to straw-cover systems. Brachiária straw and millet reduce CO2 emissions per hectare by 20% and 28% compared to bare soil. Lower traffic intensities (two passes) showed (13.72%) higher soybean yields (of 4.04 Mg ha−1). Investigating these effects in other types of soil and mechanized operations then becomes essential.

Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation.

Developing a robust artificial intelligence of things (AIoT) system with a self-powered triboelectric sensor for harsh environment is challenging because environmental fluctuations are reflected in triboelectric signals. This study presents an environmentally robust triboelectric tire monitoring system with deep learning to capture driving information in the triboelectric signals generated from tire-road friction. The optimization of the process and structure of a laser-induced graphene (LIG) electrode layer in the triboelectric tire is conducted, enabling the tire to detect universal driving information for vehicles/robotic mobility, including rotation speeds of 200-2000 rpm and contact fractions of line. Employing a hybrid model combining short-term Fourier transform with a convolution neural network-long short-term memory, the LIG-based triboelectric tire monitoring (LTTM) system decouples the driving information, such as traffic lines and road states, from varied environmental conditions of humidity (10%-90%) and temperatures (50-70°C). The real-time line and road state recognition of the LTTM system is confirmed on a mobile platform across diverse environmental conditions, including fog, dampness, intense sunlight, and heat shimmer. This work provides an environmentally robust monitoring AIoT system by introducing a self-powered triboelectric sensor and hybrid deep learning for smart mobility.

Spatial Distribution Analysis of Urban Retail Industry Using POI Big Data

With the development of social economy, it is very important to identify urban functional areas and understand the spatial distribution characteristics of urban functional areas for urban scientific planning and government decision-making. Reasonable spatial distribution of urban retail industry is of great significance to promote urban economic development, optimize urban structure, and meet the consumption needs of urban residents. Based on the data of retail industry's POI, GDP, population and transportation in Nanning, China, this paper analyzes the spatial distribution characteristics and formation mechanism of different retail industry clusters in the city, and studies the spatial correlation between retail industry and population, economy, transportation, etc., using the methods of kernel density method, spatial correlation analysis, Getis-Ord G * index statistics, and average nearest neighbor distance. The results show that:(1)On the whole, the retail industry is concentrated in the central urban area of Nanning, spreading from the middle to the surrounding areas. (2)The retail hot spots have formed a multi-center development and surrounding spread pattern in spatial distribution. (3) The spatial distribution of the retail industry is highly related to the main traffic lines. At the same time, the concentration and distribution of the retail industry have a strong spatial correlation with the economy and population.

Functions of the interlocking system on mixed traffic lines

These days, automated rail traffic control systems help to lessen the need for human intervention in train traffic management. On the other hand, the various algorithms used by interlocking systems to coordinate the movement of trains belonging to distinct categories result in longer wait times for technological procedures at the station. The possibility of timely routes for trains of multiple categories occurs by employing the method of automatic route preparation by interlocking systems in the organization of the movement of trains of different categories. In interlocking systems, automatic route preparation can be achieved by continuously monitoring train characteristics, train traffic graphs of various train classes, and the condition of equipment involved in the function’s development. Nonetheless, it is predicated on the creation of many models to arrange the specifications of various train classes and train movements inside a single schedule type. In order to prepare the routes ahead of time for the station tracks based on the algorithms for the operation of interlocking systems for various kinds of trains, the paper analyzes the reliance of the traffic composition characteristics.

Emissões de poluentes de trator tracionando semeadora-adubadora em área com tráfego controlado de máquinas

ABSTRACT: Controlled machinery traffic is a technique to increase the efficiency of machines and make better use of inputs. This study evaluated the pollutant gas emissions of an agricultural tractor towing a precision seeder-fertilizer with different plow configurations in an area with varying intensities of controlled machinery traffic. The study was carried out in a commercial agricultural area located in the municipality of Carazinho, Brazil. The experimental design was of randomized 3 x 3 blocks, with three traffic situations (tractor traffic; tractor + harvester traffic; and tractor + harvester + sprayer traffic), as well as three plow settings. The pollutant gases analyzed were: particulate material (PM), nitrogen oxides (NOx), carbon dioxide (CO2), and oxygen (O2). We concluded that greater controlled traffic intensity, compared to an area without traffic, yields a PM reduction of 43% using the double disk, and 67% using the double disk without a ridge plow. The absence of plows on the traffic lines reduces the PM, NOx, and CO2 emissions by, respectively, 73%, 12%, and 17% with tractor + harvester traffic; and 80%, 12%, and 15% with tractor + harvester + sprayer traffic, compared to cultivation using ridge plows.

The effect of modified titanium dioxide, silica, and zinc oxide on the self-cleaning property of an acrylic resin-based paint

Traffic paints hold paramount importance in road markings and ensuring efficient traffic flow. Self-cleaning marking traffic paints are a type of paint which recently developed to keep traffic lines clean with high visibility. Several paints were formulated with acrylic resin and self-cleaning agents, titanium dioxide (TiO2), silicon dioxide (SiO2), and zinc oxide (ZnO) individually and or in combination. All agents were treated in a furnace at 800°C for 2 hours before incorporating into the paint formulation. The effect of untreated and treated agents on several crucial properties of the formulated paints was assessed and compared. It revealed that heat treatment was effective on the crystallinity and impurity content of the agents evidenced by traditional characteristic techniques. The SEM-EDX analysis confirmed the presence and distribution of self-cleaning agents in the paint matrix. Water contact angles ranged from 68° to 97° for paints with self-cleaning agents, indicating improved hydrophilicity. Oil contact angles ranged from 27° to 42° for most paints with self-cleaning agents, showing some improvement in hydrophobicity. The qualitative assessment confirmed superior self-cleaning performance for paints with self-cleaning agents compared to the reference paint, especially for treated agents. Overall, the type and amount of self-cleaning agents significantly affect the hydrophilicity, hydrophobicity, and self-cleaning performance of paints.

Study of time indicators of public transport operation depending on the season of the year

Mobility problems in large cities of Ukraine and Eastern Europe are complicated by the fact that the increase of private transport volume significantly exceeds street and road network`s capacity. This is most noticeable during peak periods in terms of daylight hours and throughout the year. From the point of sustainable mobility view, this negative phenomenon significantly affects urban public transport, which does not have separate dedicated traffic lines. This article analyzes the issue regarding the deterioration of the transport situation in large cities. The reason for this is the increase in traffic on main streets during the day peaks, as well as the presence of seasonal traffic factors. If the issue of the occurrence and traffic jams duration and the increase in the correspondence time of private transport is sufficiently studied, then the problems of changing the schedules of public transport and taking into account the increase in the trip duration depending on the time of year need to be clarified. The routes of public transport, which do not have a separate infrastructure and move in the general flow together with private cars, were chosen for the study. According to the results of remote monitoring of public transport, a change in the trip duration and time lost due to the boarding and disembarking of passengers on similar trolleybus routes in different seasons was established. Based on the obtained data, a matrix of trip duration unevenness coefficients for public transport routes was formed, and a measure of the seasonality effect on these indicators was established. The obtained results make it possible to quantitatively determine the influence of the season and time of the day on the change in the trip duration, which can be applied in further studies using simulation tools and for practical use in drawing up seasonal traffic schedules. The results of the research complement the currently relevant scientific works, which concern the problems of seasonal mobility, as well as the influence of the social infrastructure objects functioning (schools, kindergartens, and other educational institutions) of cities on the peak load of the street and road network, which extends the duration of traffic not only for private but also public transport.

Urban Land Expansion Simulation Considering the Increasing versus Decreasing Balance Policy: A Case Study in Fenghua, China

Under the political dominance of urbanization, the policy of increasing versus decreasing balance (IVDB) between urban and rural construction land has had a profound influence on urban land expansion in China. The purpose of this study is to reveal the impact of the IVDB policy on the process of urban land expansion. Considering the transition process among different land use types under the IVDB policy, this study proposes two situations of urban land expansion. A future land use simulation (FLUS) model is applied to simulate the expansion process over three steps. A case study of Fenghua District in Ningbo City, China, shows the following: (1) In the first situation of village land directly transformed into urban land, the transformation is concentrated in the northern and western parts of Fenghua District. The expansion trends are particularly pronounced along existing urban land and main traffic lines. (2) In the second situation of village land reclamation for agricultural land and urban land occupation for agricultural land, the spatial differences in village land conversion to arable land or other agricultural land are relatively small, and the degree of concentration of arable land is significantly increased after reclamation. Urban land expansion mainly occurs close to Ningbo City. With the help of transfer quotas “produced” by other areas, expansion land can be balanced within Fenghua District. This research helps to shed light on the urban land use growth process and provides beneficial insights for stock spatial planning in China.

Conflict or Coordination? The Spatiotemporal Relationship Between Humans and Nature on the Qinghai‐Tibet Plateau

AbstractAs the Earth's Third Pole and the Asian water tower, the Qinghai‐Tibet Plateau (QTP) plays a key role in global climate regulation and biodiversity maintenance. Living in harmony with nature is vital for local and global sustainable development. Current research on the conflicted or coordinated relationship between humans and nature on the QTP at a fine spatial scale remains limited. To fill the gap, we developed the human activity intensity index (HAI) and eco‐environmental quality index (EQI) at 1‐km resolution and proposed a four‐quadrant diagram approach to explore the dynamics between them. The results show a coordinated development on the QTP as the HAI and EQI both increased from 2000 to 2020, and the ratio of coordinated areas to conflicted areas was 5:1. High HAI areas were mainly in big cities such as Xining, Lhasa, Haidong, Xigaze, and along traffic lines. The significant conflicted areas were mainly outside the Lhasa metropolitan, south of the Hengduan Mountains, and along some new roads, and reduced by 8% between 2000–2010 and 2010–2020. The area of high HAI but low EQI was the smallest proportion, mainly in southern Qinghai Lake, southern Brahlung Zangbo River, Gobi oases, and western transport lines, but it implies the highest risk of ecosystem degradation. This research expands the fundamental methodology to address complex human‐natural relationships and provides implications for the sustainable development of fragile ecosystems.

Study on the Spatio-temporal Characteristics of Soundscape in Famous Historical and Cultural Towns: a Case Study of Labrang Town, Xiahe County, China

This study based on field measurements of the acoustic objective data of Labrang town, draws a sound level map and depicts the soundscape characteristics from the perspective of space-time. The distribution of sound levels is imbalanced in the old urban area of Labrang town. The spatial characteristics show that the eastern region has higher sound levels than does the western region; the core area, higher than the edge area; and the nodular area, higher than the homogeneous area. In the typical “Tawa” community and temple area, the sound level is low, and there is a high level of sound in the area along the traffic line and the “nodule area”. The spatial distribution of the soundscapes is closely related to the urban functional area and crowd behaviour activities. The time characteristic has an obvious fluctuation and particularity. The changes in sound levels and the characteristic of soundscapes are related to the life rhythms of monks and residents. From the point of view of sound protection in historic and cultural cities, it is necessary to pay attention to the construction of soundscapes in order to optimize the urban functional structure and strengthen the management of the sound environment.

Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data

Complex networks in reality are not just single-layer networks. The connection of nodes in an urban metro network includes two kinds of connections: line and passenger flow. In fact, it is a multilayer network. The line network constructed by the Space L model based on a complex network reflects the geographical proximity of stations, which is an undirected and weightless network. The passenger flow network constructed with smart card big data reflects the passenger flow relationship between stations, which is a directed weighted network. The construction of a line-flow multilayer network can reflect the actual situation of metro traffic passenger flow, and the node clustering coefficient can measure the passenger flow clustering effect of the station on adjacent stations. Combined with the situation of subway lines in Nanjing and card-swiping big data, this research constructs the line network with the Space L model and the passenger flow network with smart card big data, and uses these two networks to construct the multilayer network of line flow. This research improves the calculation method of the clustering coefficient of weighted networks, proposes the concept of node group, distinguishes the inflow and outflow, and successively calculates the clustering coefficient of nodes and the whole network in the multilayer network. The degree of passenger flow activity in the network thermal diagram is used to represent the passenger flow activity of the line-flow network. This method can be used to evaluate the clustering effect of metro stations and identify the business districts in the metro network, so as to improve the level of intelligent transportation management and provide a theoretical basis for transportation construction and business planning.

Reduction of lighting power consumption through lighting control using the KNX/digital addressable lighting interface protocol in liquefied natural gas carrier accommodation mock-up

Lighting in ships is the main energy consumer in the overall power system and is closely associated with the creation of visual comfort and a safe work environment for the crew. A convergence point between the energy efficiency of ship lighting and a safe work environment for the crew can be achieved in various ways. This study applied the KNX and Digital Addressable Lighting Interface (DALI) systems to a mega-ship. A mock-up identical to an accommodation unit in an actual Liquefied Natural Gas Carrier in construction was developed, where the lighting for ships was installed and the KNX/DALI protocol, and occupancy sensors were applied as the lighting control system. The measurement of the 24 h power consumption with a conventional lighting arrangement design and the KNX/DALI system indicated that the lighting power consumption decreased from 12,935.2 to 2830.3 W h, implying a ≥80% reduction. This lighting solution involves control based on the traffic line of the crew at work, which plays a key role in enhancing the energy efficiency of the ship, promoting a safe work environment and visual comfort for the crew, and maximizing integration with other digital systems of the ship.

Battery only electric traction for freight trains - A technical and operational assessment

The rail transport industry has been required to engage with the world effort to reduce the climate effects, as well as the reduction of criteria pollutant and noise emissions, which strongly affects the populations nearby the rail infrastructure. Electric powertrains have been widely used by railways, with its inherent efficiency and cleanliness. However, the required infrastructure has restricted its use to medium to large density traffic corridors, given the large infrastructure and maintenance costs involved. Light to medium loaded rail stretches and large freight rail corridors, running in rural areas, have adopted the diesel-electric powertrain approach, that relies on an onboard diesel generator, with the inherent environmental negative effects, especially to the rail nearby communities. In this context, alternative traction technologies, such as Hybrid-Electric Rail, Hydrogen Fuel Cell Rail and Battery Only Electric Rail, have been considered by the rail industry as potential alternatives. The BOER route, due to the recent battery technology breakthroughs (associated with performance improvements and reduced costs) is set as a promising alternative and has a potential do be used as a decarbonization strategy for both passenger and freight rail systems at low to medium density traffic lines. Nevertheless, the BOER technology sets great challenges, given the high energy and power required by rail vehicles, as well as the harsh rail operational environment, with huge effects on the performance, charging infrastructure requirements, fleet availability, costs, as well as the environmental sustainability associated with the mining and disposal of materials required by the battery chemistries. This paper presents, based on the state of the art available technical literature, an unbiased review of the BOER technology and an assessment of its potential for the freight rail industry, highlighting the associated technical, operational and environmental challenges.

Research on Spatial Distribution Characteristics and Correlation Degree of the Historical and Cultural Towns (Villages) in China

Historical and Cultural Towns (Villages) (HCTVs) are the important parts in the recordation of the traditional culture, folk customs and architectural art in China. However, with the rapid development of the economy and rural urbanization, these towns and villages are faced with a series of problems, such as traditional features lost, traditional architecture destroyed and the lack of a long-term comprehensive and effective plan for scientific conservation measures. As a result, these historic heritages and their surroundings are in a serious crisis and will be destroyed to a certain extent. This paper chose 799 HCTVs as objects of this study, which were published by the Department of Housing Construction. The distribution features and mechanism have been analyzed with thesupport of GIS technology. In addition, the spatial correlation between elevation, stream, transportation, traditional culture and language was also explained through spatial overlay analysis. Through the statistical comparison and cluster analysis, it explored natural and human factors with the influence of HCTV distribution. The purpose is to help us make selection more reasonable and offer a reference of development of regional tourism for the future. The results showed that: (1) The spatial distribution of HCTVs clearly varies among different regions of China, and four concentrated typical areas are found in the Shanxi-Hebei-Henan border area, southeast coastal zone, Sichuan-Chongqing-Guizhou border area and Hunan-Guangxi border area. (2) The distribution characteristics have a peculiar style in the countryside and have a trend of cluster around a geographic line (e.g., a traffic line, a river) and a small town. (3) The HCTV has different characteristics in spatial form, river system distribution, regional culture and transportation system. The majority of them are distributed along the river and are cultural centers, traffic hubs and birthplace of civilizations in history. (4) Natural geographical environment, current population distribution patterns, level of regional economic development, accumulation of historic and cultural heritages, as well as rules and standards in the definition of HCTV, are the main factors affecting the spatial distribution. The purpose of this paper is to help us select more reasonable criteria and rules in the process of HCTV selection.

Условия труда производственного персонала трамваев в городах Челябинской области в 1930-е гг.

An important characteristic of the level of development of society is the material conditions of the life and work of its people. The relevance of the study is due to the ability to identify the conditions which primarily determined the efficient operation of urban electric transport based on analysis of historical sources. The purpose of the study is to identify the main factors which influenced tram workers in their daily work in Chelyabinsk, Zlatoust, Magnitogorsk in the 1930s. On the basis of materials from Federal and Regional archives and journalistic press, the paper presents the main production characteristics of the tram economy of the RSFSR. It analyzes the operational characteristics of the rolling stock, working conditions in the depot and on the traffic lines, and the influence of the human factor in the 1930s on the working of the trams. Historical sources were analyzed through the prism of the history of everyday life. The methodology was based on case-studies. The author shows that the cumulative effect of the harsh natural and climatic conditions, the lack of equipped work places, tools, and materials led to excessively long working shifts, and constant personnel turnover. The circumstances of working conditions were dictated by the general level of technical equipment of the time and the level of development of the industry. The factors identified in the course of the study which influenced the working conditions in the tram facilities of the cities of the Chelyabinsk region enabled the general situation in the 1930s in the field of trams in the cities of the RSFSR to be characterised (with the exception of Moscow and Leningrad).

Characteristics of exposure to 10 polycyclic aromatic hydrocarbon metabolites among pregnant women: cohort of pregnant women in Zunyi, southwest China

ObjectiveOur aim was to elucidate the polycyclic aromatic hydrocarbon (PAH) metabolites exposure levels of pregnant women in the underdeveloped region of Zunyi, southwest China.MethodsSociodemographic information was collected via questionnaires, and...

Virtual Axle Detector Based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network.

In the practical application of the Bridge Weigh-In-Motion (BWIM) methods, the position of the wheels or axles during the passage of a vehicle is a prerequisite in most cases. To avoid the use of conventional axle detectors and bridge type-specific methods, we propose a novel method for axle detection using accelerometers placed arbitrarily on a bridge. In order to develop a model that is as simple and comprehensible as possible, the axle detection task is implemented as a binary classification problem instead of a regression problem. The model is implemented as a Fully Convolutional Network to process signals in the form of Continuous Wavelet Transforms. This allows passages of any length to be processed in a single step with maximum efficiency while utilising multiple scales in a single evaluation. This allows our method to use acceleration signals from any location on the bridge structure and act as Virtual Axle Detectors (VADs) without being limited to specific structural types of bridges. To test the proposed method, we analysed 3787 train passages recorded on a steel trough railway bridge of a long-distance traffic line. Results of the measurement data show that our model detects 95% of the axles, which means that 128,599 out of 134,800 previously unseen axles were correctly detected. In total, 90% of the axles were detected with a maximum spatial error of 20 cm, at a maximum velocity of vmax=56.3m/s. The analysis shows that our developed model can use accelerometers as VADs even under real operating conditions.

Experimental Study on Seismic Performance of Precast Columns Repaired with CFRP Fabrics

Earthquakes worldwide highlight the seismic vulnerability of reinforced concrete (RC) bridge columns. RC bridges are likely to collapse or lose service function due to damage to the bridge columns from strong earthquakes. Rapid repair of RC bridge columns is of great significance for maintaining traffic lines for emergency rescue work after earthquakes. In this study, an improved rapid repair method was developed to restore the bearing capacity of a damaged precast column after earthquake damage. A cyclic loading test was performed to simulate the seismic loading. The original column and the repaired column were both tested. The test results showed that the bearing capacity of the repaired columns was increased by 8%, and the energy dissipation capacity was 53% higher than that of the original column. The ductility decreased because the test for the repaired specimen ended in advance. The initial stiffness of the repaired columns was reduced, but the stiffness was significantly developed in the later loading stage. The rapid repair method proposed in this study exhibited an excellent effect on restoring the seismic resistance of the damaged columns.