Highway Surface Research Articles

A Rapid Segmentation Method of Highway Surface Point Cloud Data Based on a Supervoxel and Improved Region Growing Algorithm

Mobile laser scanning (MLS) systems have become an important technology for collecting and measuring road information for highway maintenance and reconstruction services. However, the efficient and accurate extraction of unstructured road surfaces from MLS point cloud data collected on highways is challenging. Specifically, the complex and unstructured characteristics of road surveying point cloud data lead to traditional 3D point cloud segmentation. When traditional 3D point cloud algorithms extract unstructured road surfaces, over-segmentation and under-segmentation often occur, which affects efficiency and accuracy. To solve these problems, this study introduces an enhanced road extraction method that integrates supervoxel and trajectory information into a traditional region growing algorithm. The method involves two main steps: first, a supervoxel data structure is applied to reconstruct the original MLS point cloud data, which diminishes the calculation time of the point cloud feature vector and accelerates the merging speed of a similar region; second, the trajectory information of the vehicle is used to optimize the seed selection strategy of the regio growing algorithm, which improves the accuracy of road surface extraction. Finally, two typical highway section tests (flat road and slope road) were conducted to validate the positioning performance of the proposed algorithm in an MLS point cloud. The results show that, compared with three kinds of traditional road surface segmentation algorithms, our method achieves an average extraction recall and precision of 99.1% and 96.0%, and by calculating the recall and precision, an F1 score of 97.5% can be obtained to evaluate the performance of the proposed method, for both datasets. Additionally, our method exhibits an average road surface extraction time that is 45.0%, 50.3%, and 55.8% faster than those of the other three automated segmentation algorithms.

Rapid visual detection method of highway pavement sag based on improved Yolov7-tiny

Different weather and light conditions will affect the detection of pavement sag. And the camera field of view is limited, can not fully cover the entire highway road surface, resulting in higher difficulty in road sag detection. Therefore, a rapid visual detection method for highway pavement sag based on improved Yolov7-tiny is proposed. The structure elements are determined, and the small noise points in the image are removed by etching operation, and the morphology of the highway surface is completed. Input the processed highway pavement sag image into YOLOv7-tiny network, improve the input module and backbone network, and output the irregular shape of the sag image target. Fuzzy C-Means (FCM) clustering algorithm is introduced and objective function is established to realize the morphological feature visual detection of highway pavement depression. The experimental results show that: The method has smaller entropy, larger fuzzy coefficient, higher peak signal-to-noise ratio, and clearer features of pavement depression images.

Bi-Unet: A Dual Stream Network for Real-Time Highway Surface Segmentation

Highway surface segmentation consists of extracting road surface at pixel-level from the surveillance camera view. Since the intelligent traffic event detection task does not require the detection of off-road scene, the segmentation of highway surface is of great demand. However, it is challenging to accurately extract road surface in real time scenarios. To cope with the above issues, Bi-Unet, a dual stream lightweight network is proposed. Firstly, the dual stream structure enhances segmentation performance on the narrow remote end of the highway and preserves the detailed border information. Then, to perform real-time segmentation, a novel lightweight module (LSM) is introduced to lighten the model and provide higher segmentation accuracy. Moreover, to ensure road segmentation for complex scenes, a Road Attention Network (RAN) module is proposed. Lastly, due to the lack of a suitable benchmark dataset serve for the highway segmentation problem, a new large and high-quality segmentation dataset named Highway-Surface-Free (HSF) is proposed in this paper, which is collected from the perspective of highway surveillance cameras under all-day and all-weather conditions. Compared with the state of arts, the extensive experimental results verify that our proposed Bi-Unet achieves the best overall performance on our proposed HSF dataset.

Study on Sand-Accumulation Changes of Highway and Formation Mechanism of Sand Damage in Drifting Dunes Areas

After the construction of desert highway, the physiognomy changes caused by surface wind erosion and accumulation not only seriously threaten the stability of road structure, but also have a tremendous impact on the safety of the highway operation and the maintenance work on the highway. The purpose of this paper is to explore the change of sand sedimentation and the law of sand transport along the highway in the moving dune areas, and to clarify the change of sand flow and the formation mechanism of sand damage in the moving dune areas. Taking the test section of Wuhai-Maqin Expressway in the hinterland of Tengger Desert as the research object, the on-site observation of sand accumulation and the recording of wind information by small weather stations were adopted, supplemented by CFD numerical simulation method, in order to provide reference for the construction of sand control system in moving dune areas. The study results show that: (1) Dunes not only obstruct wind-drift sand but are also the sediment source condition for forming road sand. The windward dunes near the road are affected by wind and the deposition of sand will quickly bury the road in the strong wind season. (2) Compared with highways with flat terrain, the existence of dunes affects the flow field structure and the distribution of sand sedimentation on the highway, in which, under the influence of the gathering effect, the flow velocity reaches the maximum at the top of the dune and a large low-speed recirculation zone is formed on the lee side of the dune, easily causing sand accumulation. (3) Sediment accumulates at the windward side of the embankment or dune where sandy air current is easy to saturate. However, with the increase of wind speed, in addition to the grit carried by the sandy air current itself, new sand rolled up on the windward side of the dunes also form deposits on the road surface and the amount of sand-accumulation on highway surface and leeward side tends to increase. As a result, for the highway in drifting sand dunes areas, sediment prevention and control measures should be taken actively. It is necessary to remove sediment from the road in time and reduce the moving speed of sand dunes and the deposition range of wind-sand flow, ultimately for the purpose of reducing the damage wind-sand activity causes to the highway in desert.

Ageing of Crumb Rubber Modified Bituminous Binders under Real Service Conditions

Due to their environmental advantages, crumb rubber modified asphalt binders constitute an interesting alternative to conventional binders for road surfaces of a more durable and sustainable nature. However, in practice, they remain less commonly used than conventional polymer modified binders. This research aims to study the real ageing of crumb rubber modified asphalt binders during their service lives when exposed to various factors, including temperature gradients, the presence of water and oxidation. To this end, research was conducted on a selection of highways built with these binders and located in regions with severe climatic and traffic conditions. The binders from cores of highway surface layers were recovered and tested using the DSR (Dynamic Shear Rheometer) to determine the evolution of the rheological parameters. Crumb rubber modified asphalt binders were studied in comparison with traditional polymer modified bitumen. The analysis of the complex modulus and phase angle was conducted based on frequency and temperature sweep tests, while the evolution of the elastic recovery, Jnr, L-Index and T-Index were assessed from the multiple stress creep and recovery test. The results obtained indicate that crumb rubber modified binders show similar ageing and rheological parameters to those of conventional polymer modified bitumen, even under severe traffic and climate conditions. Furthermore, it was observed that, at high temperatures, the effect caused by real service life ageing was different to that obtained in the laboratory through the RTFO and PAV tests.

Analysis of expected noise impacts in the area of the planned highway Banja Luka - Prijedor

The goal of the construction of the Banja Luka - Prijedor highway is to improve the traffic capacity of this road as well as to improve the entire segment of side effects, of which the environmental impacts are one of the most significant. The total length of the route of the future highway Banja Luka - Prijedor is 40.7 km. The planned route passes in the immediate vicinity of commercial and residential buildings. The project area is divided into two characteristic zones: residential and business zone and zone without residential and business buildings. The subject of this paper is the quantification of the expected noise level that will occur as a result of traffic on the planned highway, in order to design appropriate noise protection measures. Noise generated on roads affects the environment and contributes to the degradation of the quality of life in the vicinity of the highway and disturbs wildlife. Noise emissions from roads are mostly caused by friction between vehicle tires and the highway surface, and aerodynamic resistance to vehicle movement. Endangered / "noise sensitive" areas can be protected by building sound barriers (acoustic walls, earth embankments or gabions) - the so-called. "Active protection measure", by installing windows with improved acoustic insulation - the so-called. "Passive protection or by reducing noise emissions at the source (by limiting the speed of the vehicle or by installing a road curtain with absorption properties).

Characterization and Analysis of the Cedar Pass Landslide Complex, Badlands National Park

ABSTRACT The Cedar Pass Landslide Complex is located in Badlands National Park, South Dakota, and has created the need for regular maintenance and repair of Badlands Loop Road (South Dakota State Highway 240), the main highway traversing the park. Although there have been previous studies done in small portions of the complex, there has not been a comprehensive study to evaluate the interactions between smaller landslides and the sensitivity of the landslides within the complex to changing conditions. This study used extensive field mapping and slope stability modeling to delineate the boundaries of landslides within the complex, assess the stability, and investigate the sensitivity to fluctuations in groundwater, reduction in material strength, and erosion within the landslide mass. Results show that highway surface damage in the complex is related to the interaction of movement in both smaller and larger landslides. For instance, damage to the Cliff Shelf parking lot is related to small, destabilized blocks above the head scarp of the larger Prairie Island Landslide located to the southeast. In the Upper and Lower Wedge areas, previously mapped landslides were not confirmed, but highway damage may relate to settlement and erosion of an embankment fill and continued deformation of the massive Cliff Shelf paleo-landslide, which was thought to be dormant until the late 1990s. The overall slow and episodic movement of the landslides observed over the past 30 years may be attributed to dilatant strengthening.

A Study of Unsteady Variations of Highway Temperatures in Winter and Summer

The unsteady variations of temperatures of highways in four places are investigated in this study. A physical model is built based on heat transfer, and the computer program for the analysis is generated by authors in Fortran code. The effects of solar radiation, air temperature, wind velocity and location on highway temperature are analyzed. The results show that the highest temperature on the highway surface could be over 60 ºC in summer, and the lowest temperature could be below -14 ºC in winter. The solar radiation, air temperature, location and wind velocity affect the road temperature obviously. Due to the thermal inertia, with the increase in depth, the temperature changes more slowly and weakly. At the depth of about 0.5 m below surface, the variation of road temperature is not over 1 ºC. The structure and the altitude above sea level of the highway also play important roles in influencing road temperature. The frozen depths for the researched highways could reach 0.25 m~0.95 m.

Design and Development of a Numerical Model and Study on Kinematic Analysis of a Circular Diamond Saw Blade for Ceramics

Abstract: Diamond tools are currently being used by an increasing number of architects, miners and construction engineers because they are faster and easier to use than older, more traditional instruments like sledge hammers and pneumatic and hydraulic jacks. Bridge and highway surfaces are cut with diamond asphalt and concrete cutting machines to provide for quick, clean, and easy section removal and replacement. The entire cost is reduced since diamond tools take less time and manpower The experiment is carried out to validate the performance of diamond saw blades by taking into consideration characteristics such as normal force, tangential force, cutting speed, cut depth, and peripheral velocity. In present exploration work we are introductory phase of plan conclusion of a jewel device cutting edge with various segmental like 8,12,16,20 corn meal by utilizing Solid works programming we are planning the apparatus cutting edge after that we are imported in Ansys Software for Analysis reason. Computing the necessary qualities for examination and estimations of earthenware tiles likewise are some other stone molecule. Another power model of cutting is presented and inferred numerical demonstrating for chip thickness. Identical chip thickness to coarseness space proportion is gotten from the new power model another outspread opening like profile is presented. Fragmented sort jewel saw sharp edge with the measurement of 400 mm and different portion, for example, 8, 12, 16 and 20 are planned in Solid works effectively. An examination study between existing roundabout outspread space and cone like opening is done to decide deformity, stress dispersion, vibration and temperature conveyance.

Roughness Modeling for Composite Pavements using Machine Learning

A large number of paved highway surfaces comprises composite pavements as a result of concrete pavement rehabilitation that uses an asphalt overlay on top of the concrete surface. Annually, billions of dollars are spent on the maintenance and rehabilitation of road networks. Roughness is one of the several indicators of road conditions used to make objective decisions related to road network management. The irregularities in the pavement surface affecting the ride quality of road users can be described by a standard roughness index defined as the International Roughness Index (IRI). Roughness prediction models can identify rehabilitation needs, analyze rehabilitation effects, and estimate future pavement conditions to implement different Maintenance and Rehabilitation (M&R) activities to extend the pavement life cycle and provide a smooth surface for road users. This study intended to develop pavement performance models to predict roughness for asphalt overlay on concrete pavement sections using the Long-Term Performance Pavement (LTPP) program database. Artificial Neural Networks (ANNs) approach was used to develop roughness prediction models. A total of 52 pavement sections with 592 data points were analyzed. Five models were developed, and the best performing model, Model 5 was found with an average square error (ASE) of 0.0023, mean absolute relative error (MARE) of 12.936, and coefficient of determination (R2) of 0.88. Model 5 utilized one output variable (IRIMean) and 14 input variables (i.e., Initial IRIMean, Age, Wet-Freeze, Wet Non-Freeze, Dry-Freeze, Dry Non-Freeze, Asphalt Thickness, Concrete Thickness, CN Code, ESAL, Annual Air Temperature, Freeze Index, Freeze-Thaw, and Precipitation). The ANN model structure utilized for Model 5 was 14-9-1 (14 inputs, 9 hidden nodes, and 1 output). Environmental impacts and traffic repetitions can cause severe damage to the pavement if timely maintenance and rehabilitation are not performed. By considering the effects of the M&R history of the pavement, it is possible to obtain realistic prediction models for future planning. Therefore, the developed ANN roughness performance models in this paper can be used as a prediction tool for IRI values and guide decision-makers to develop a better M&R plan. Local and state agencies can use available historical traffic and climatological data in the developed models to estimate the change in IRI values. Utilizing these prediction models eliminates time-consuming data collection and post-processing, and consequently, a cost reduction. This low-cost tool will improve the condition assessment and effective M&R scheduling.

Evaluation of techniques for mitigating snowmelt infiltration-induced landsliding in a highway embankment

Infiltration-induced landslides threaten transportation infrastructure around the world, and impose both direct costs through repair and remediation work and indirect costs through lost economic activity. Therefore, finding the most cost-effective techniques to mitigate slope failures that can impact critical infrastructure links is desirable. The Straight Creek landslide, which affects a segment of Interstate 70 in Summit County, Colorado (USA), has experienced seasonal failure driven by rapid springtime snowmelt infiltration since the early 1970s, allowing changes in its stability to be studied. Past studies have established that seasonal failure is driven by pore-water pressure increase caused by the rapid infiltration of snowmelt and the hydraulic conductivity contrast between upper slope materials and the highway embankment. Two remediation designs have been applied to the site, including lightweight caissons beneath the highway surface in 2011 and 2012, and horizontal drains near the slide toe in 2012. The effects of the lightweight caissons and horizontal drains, as well as an alternative drain design that would extend into the hillslope above the highway embankment, are evaluated within a rigorous hydro-mechanical simulation framework along with a method to generate a field of local factor of safety. Model results show that the effect of the lightweight caissons on the factor of safety is no more than 1% during times of critical instability, as they do not affect the seasonal changes in hydrology that cause destabilizing decreases in effective stress along the failure surface. Horizontal drains are intended to reduce pore-water pressures, but the location of existing drains limit their efficacy due to the low hydraulic conductivity of subsurface materials underneath the highway. Model results indicate that these drains are only partially responsible for a reduction in movement rate since their installation, which is also due to lower annual cumulative snowmelt infiltration levels since 2012. Results also show that an alternative drain design could result in increased stability during critical periods by intercepting downslope subsurface flow before it arrives at the hydraulic conductivity contrast at the embankment.

Dynamic Wireless Power Transfer in Electric Vehicles

An Electrical vehicle can utilize a force move framework to charge the on-board Rechargeable Energy Storage System (RESS the battery) or to give the capacity to the electric engine. It is additionally conceivable to utilize remote force move to charge the batteries while fixed, using charging pads. Both of these arrangements are satisfactory for assessing at home or in-vehicle parking, yet at the same time, require the vehicle to stop in a proper area to charge the battery. We propose an eco-friendly wireless charging system for electric vehicles, which enables wireless charging of the vehicle while running on the highways. The proposed approach is also used for the charging of cars in the shopping malls and other parking places. Moreover, the proposed charging system may require electrical energy from the solar PV systems and wind turbines, installed along the highways. The solar PV system and wind turbines are connected to form a Microgrid system and feed generated electrical energy to the wireless charging system. The surplus electrical energy may be either fed back to the primary grid or used for highway illumination. The wireless charging system also consists of an air-core transformer with its primary winding below the highway surface and secondary mounted on the vehicle. The ac power from secondary passes through a rectifier and dc-dc conversion stage to produce suitable dc voltage and current for the charging of the battery unit.

Application Research on Highway Surface Treatment of Epoxy Asphalt

Epoxy asphalt surface treatment technology is regarded as one of the new type of preventive maintenance technologies. It has remarkable skid resistance function and can effectively improve the service quality and safety level of asphalt pavement. It could extend the maintenance life cycle, and reduce the material and energy consumption compared with the traditional maintenance method. The total thickness of the whole treatment layer is 5mm, which would not affect the road elevation and the potential recycling use of the asphalt pavement in the future. Besides, the construction is conducted at normal temperature, carbon emission could be reduced. Thus it can be considered as a kind of green technology in road maintenance engineering. In this paper, an engineering application of using the epoxy asphalt surface treatment has been introduced.

A Study of Filter Drain Performance for the Pollution Control of Urban Runoff (Dept.C)

Construction, vehicular traffic and maintenance of highway surfaces are sources of pollutants, which accumulate on highway surfaces and other roadside areas. During rainfall runoff events these pollutants are washed from these surfaces and flow to surface and subsurface waters. This research is a study to assess the ability of a constructed filter drain as one of Sustainable Urban Drainage Systems (SUDS) in removing suspended solids, petroleum hydrocarbons, metals in the form of Copper and Zinc and polycyclic aromatic hydrocarbons were used for the present study from urban runoff. The constructed filter drain was successful in controlling, attenuating and treating runoff containing pollutant loadings of (sediments, petroleum hydrocarbons, metals and polycyclic aromatic hydrocarbons). For the eight stimulated test runs, the average removal rate of the builder's sand as sediments was 97%. The average total petroleum hydrocarbon removing rate was 97 .8%. The mean copper (Cu) and zinc (Zn) removing rate was 82% and 92% respectively. The average removing rate of polycyclic aromatic hydrocarbons

Исследование транспортно-эксплуатационного состояния автомобильной дороги общего пользования на примере улиц Гражданская–Производственная в г. Каменка

The article uses a practical example to consider changes in the transport and operational state of the public highway and road surface, with the possibility of justifying and taking into account these changes in the design, operation and repair.
 The methodological approach of the road and road surface survey provides for the first stage of visual inspection of the road and identification of areas with visible defects of the existing roadbed and road surface. At the second stage, the asphalt roadbed was opened by pits in the most visible areas of damage in order to take samples of road clothing and subsequent analysis. Defects and causes of deformations of asphalt concrete pavement and existing roadbed were identified. Recommendations for eliminating the causes of deformations and strengthening the coating are given.

Retention of microplastics in sediments of urban and highway stormwater retention ponds

Urban and highway surfaces discharge polluted runoff during storm events. To mitigate environmental risks, stormwater retention ponds are commonly constructed to treat the runoff water. This study is the first to quantify the retention of microplastics in the sediments of such ponds. It applied state-of-art FTIR-methods to analyse the composition, size, shape, and mass of microplastics in the range 10–2000 μm. Seven ponds serving four land uses were investigated, and the results are related to catchment characteristics, sediment organic matter content, and hydraulic loading. We have not found a correlation between the microplastics abundance, polymer composition, size distribution and the land use in the catchment, as well as the sediment organic matter content. Both the highest (127,986 items kg−1; 28,732 μg kg−1) and the lowest (1511 items kg−1; 115 μg kg−1) accumulation of microplastics were found in the sediments of ponds serving industrial areas. There was, however, a correlation to the hydraulic loading of the ponds, where the sediments of the highest-loaded ponds held the most microplastics. This study shows that sediments in stormwater retention ponds can trap some of the microplastics and prevent them from being transported downstream. These systems need to be considered when assessing the fate of microplastics from urban and highway areas.

English

This paper presents the results of the slope failure analyses from fracture distributions and their relation to tectonic activity; the analytical results have indicated that the phenomena of plane failure, wedge failure and toppling failure can occur at almost of the survey sites within the study area. The statistical data show that the fracture orientation mainly develop in the E-W, N-S and NW-SE due to the influence of tectonic activity. The occurrence of them together with the rock slope surface orientation has formed plane failure on the slope surface of the 3B highway in the E-W direction and the types of wedge failure and toppling failure on the slope surface of the highway in the N-S and NW-SE direction.

Effect of inclined angle on a vehicle-passenger-inclined highway bridge

This paper presents a theoretical analysis of the dynamic interaction of a vehicle-passenger-inclined highway bridge. The mathematical vehicle-passenger model has 12 degrees of freedom: a vehicle model with four masses has six degrees of freedom, and an occupant model with four masses, which is the hinged beam model, has six degrees of freedom. The modal analysis technique using equations of motion are adapted for an inclined highway bridge. By considering both longitudinal and transverse vibrations, the governing differential equations of motion for the bridge are derived. The random roughness of an actual highway surface has been considered in the analysis. During application of the analytical system, the effects of an inclined angle of the highway bridge and speed parameter on vehicle and human dynamic behavior are investigated. The inclined angle is examined in the range of -20° to +20°, and the speed parameter is examined in the range of 0.02-1.5. These factors are found to exert significant influence on the mechanical behavior of vehicles, passenger, and inclined highway bridge. Some results are presented in the form of parametric plots.

Ocena wpływu warunków atmosferycznych na poziom hałasu komunikacyjnego dla wybranej autostrady w Holandii

There are many innovative highway surfaces. One it is the surface from porous asphalt. The purpose of construction this pavements is to absorb rainwater and to reduce the noise of the wearing course. The evaluation of the effectiveness of these features can be carried out by various methods including statistical method, CPX, or equivalent noise measurement. During exploitation, the following is assessed: the impact of factors as air humidity, wind, or intensity and the structure of road traffi c during the period of exploitation. This study presents an analysis of measurement results and methods for assessing the impact of these factors, which can be used to plan the reconstruction of porous wearing course.

Intelligent Vehicle Counting and Classification Sensor for Real-Time Traffic Surveillance

Real-time traffic surveillance is essential in today's intelligent transportation systems and will surely play a vital role in tomorrow's smart cities. The work detailed in this paper reports on the development and implementation of a novel smart wireless sensor for traffic monitoring. Computationally efficient and reliable algorithms for vehicle detection, speed and length estimation, classification, and time-synchronization were fully developed, integrated, and evaluated. Comprehensive system evaluation and extensive data analysis were performed to tune and validate the system for a reliable and robust operation. Several field studies conducted on highway and urban roads for different scenarios and under various traffic conditions resulted in 99.98% detection accuracy, 97.11% speed estimation accuracy, and 97% length-based vehicle classification accuracy. The developed system is portable, reliable, and cost-effective. The system can also be used for short-term or long-term installment on surface of highway, roadway, and roadside. Implementation cost of a single node including enclosure is US $50.