A Computer Vision based Framework for Detecting Potholes on Asphalt-Road using Machine Learning Approach

2020 ◽  
Vol 1 (4) ◽  
pp. 1-5
Author(s):  
Abhishek Das ◽  
Sourav Saha
Keyword(s):  
Machine Learning ◽  
Local Binary Patterns ◽  
Road Surface ◽  
The Road ◽  
Machine Learning Approach ◽  
Asphalt Road ◽  
On The Road ◽  
Histogram Of Gradients ◽  
Processing Techniques ◽  
Pothole Detection

This paper proposes a Pothole Detection Framework which may assist the pedestrian in avoiding potholes on the roads by giving prior warnings. The basic idea of this framework is to detect the pothole on asphalt road by analyzing the image of the road-surface. This proposed framework combines image processing techniques with machine learning methods and primarily explores edges, Histogram of Gradients and Local Binary Patterns of an image frame for extracting features to detect the presence of potholes on the road surface. The experimental results indicate promising potential of the proposed framework for detection of potholes on asphalt-road.

scholarly journals Effects of Speeds and Weights of Travelling Vehicles on the Road Surface Temperature

2021 ◽  
pp. 100077
Author(s):  
Samim Mustafa ◽  
Hidehiko Sekiya ◽  
Aya Hamajima ◽  
Iwao Maeda ◽  
Shuichi Hirano
Keyword(s):  
Surface Temperature ◽  
Road Surface ◽  
The Road ◽  
Road Surface Temperature ◽  
On The Road

scholarly journals STUDI KERUSAKAN JALAN DITINJAU DARI FAKTOR SETEMPAT (STUDI KASUS RUAS JALAN BLANGKEJEREN – LAWE AUNAN)

2018 ◽  
Vol 1 (3) ◽  
pp. 667-678
Author(s):  
Mulyadi Mulyadi ◽  
Muhammad Isya ◽  
Sofyan M. Saleh
Keyword(s):  
Traffic Safety ◽  
Condition Index ◽  
Road Surface ◽  
Primary Data ◽  
Soil Conditions ◽  
Pavement Condition ◽  
Local Factors ◽  
The Road ◽  
Pavement Condition Index ◽  
On The Road

Abstract: Blangkejeren - Lawe Aunan road conditions overall is on the slopes of the mountains which is strongly influenced by local environmental factors such as drainage, topography, soil conditions, material conditions and vehicle load conditions across the road. It should be noted in order to avoid a decrease in the road quality due to road surface damage that can affect the traffic safety, comfort and smoothness.. Therefore, it is necessary to study the evaluation of the condition of the damaged road surface and the local factors that affect the damage in order to avoid a decrease in the roads quality. This study took place on Blangkejeren - Lawe Aunan roads started from Sta. 529 + 700 - Sta. 535 + 206. Generally, the condition of roads in this segment were found damage that disturb the comfort, smoothness and safety of the roads users. In this study, the primary data obtained by actual surveys in the form of data field length, width, area, and depth of each type of damage as well as local factors that lead to such damage. Actual field surveys conducted along the 5.506 km, with the distance interval of each segment is 100 m. The secondary data obtained from the relevant institutions and other materials related to this research. This study analyzed the PCI method (Pavement Condition Index) to obtain the level of damage in order to know how to handle, while for the identification of the damage done by observation factors descriptively appropriate observation in the field such as the number of damage points. The results of this study found that the type of damage caused to roads is damage to the cover layer, a hole, and curly. This type of damage that commonly occurs on the road Blangkejeren - Lawe Aunan is damage to the edges with a percentage of 87.30%. The local factors that greatly affect drainage on the percentage of damage is 62.00%. PCI average value is 13.47 which indicates a very bad condition (very poor) and requires maintenance or improvement of reconstruction.Abstrak: Kondisi jalan Blangkejeren – Lawe Aunan secara keseluruhan berada di lereng pegunungan sangat dipengaruhi oleh faktor lingkungan setempat seperti drainase, topografi, kondisi tanah, kondisi material dan kondisi beban kendaraan yang melintasi jalan tersebut. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan sehingga dapat mempengaruhi keamanan, kenyamanan, dan kelancaran dalam berlalu lintas. Oleh karena itu, perlu dilakukan penelitian evaluasi terhadap kondisi permukaan jalan yang mengalami kerusakan serta faktor setempat yang mempengaruhi kerusakan tersebut agar tidak terjadi penurunan kualitas jalan. Penelitian ini mengambil lokasi di ruas jalan Blangkejeren – Lawe Aunan yang dimulai dari Sta. 529+700 - Sta. 535+206. Umumnya kondisi ruas jalan pada segmen ini banyak ditemukan kerusakan-kerusakan yang dapat mengganggu kenyamanan, kelancaran, dan keamanan pengguna jalan. Dalam penelitian ini data primer diperoleh dengan melakukan survei aktual lapangan yaitu berupa data panjang, lebar, luasan, dan kedalaman tiap jenis kerusakan serta faktor setempat yang mengakibatkan kerusakan tersebut. Survei aktual lapangan dilakukan sepanjang 5,506 km, dengan jarak interval setiap segmen adalah 100 m. Adapun data sekunder diperoleh dari lembaga terkait dan bahan lainnya yang berhubungan dengan penelitian ini. Penelitian ini dianalisis dengan metode PCI (Pavement Condition Index) untuk mendapatkan tingkat kerusakan agar diketahui cara penanganannya, sedangkan untuk identifikasi faktor kerusakannya dilakukan dengan pengamatan secara diskriptif sesuai hasil pengamatan di lapangan berupa jumlah titik kerusakan. Hasil penelitian ini didapatkan bahwa jenis kerusakan yang terjadi pada ruas jalan adalah kerusakan lapisan penutup, lubang, dan keriting. Jenis kerusakan yang umum terjadi pada ruas jalan Blangkejeren – Lawe Aunan adalah kerusakan tepi dengan persentase 87,30 %. Faktor setempat yang sangat mempengaruhi kerusakan adalah drainase dengan persentase 62,00%. Nilai PCI rata-rata yaitu 13,47 yang menunjukkan kondisi sangat buruk (very poor) dan memerlukan pemeliharaan peningkatan atau rekonstruksi.

Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers

2021 ◽  
Vol 13 (4) ◽  
pp. 35-50
Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan
Keyword(s):  
Machine Learning ◽  
Traffic Accidents ◽  
Ad Hoc ◽  
Economic Losses ◽  
Drowsy Driving ◽  
The Road ◽  
V2v Communication ◽  
Physical Injuries ◽  
On The Road ◽  
The U.S

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.

scholarly journals Road Surface Condition Forecasting in France

2009 ◽  
Vol 48 (12) ◽  
pp. 2513-2527 ◽  
Author(s):  
L. Bouilloud ◽  
E. Martin ◽  
F. Habets ◽  
A. Boone ◽  
P. Le Moigne ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Initial Conditions ◽  
Meteorological Data ◽  
Surface Condition ◽  
Road Surface ◽  
Snow Layer ◽  
Surface Conditions ◽  
The Road ◽  
Road Surface Temperature ◽  
On The Road

Abstract A numerical model designed to simulate the evolution of a snow layer on a road surface was forced by meteorological forecasts so as to assess its potential for use within an operational suite for road management in winter. The suite is intended for use throughout France, even in areas where no observations of surface conditions are available. It relies on short-term meteorological forecasts and long-term simulations of surface conditions using spatialized meteorological data to provide the initial conditions. The prediction of road surface conditions (road surface temperature and presence of snow on the road) was tested at an experimental site using data from a comprehensive experimental field campaign. The results were satisfactory, with detection of the majority of snow and negative road surface temperature events. The model was then extended to all of France with an 8-km grid resolution, using forcing data from a real-time meteorological analysis system. Many events with snow on the roads were simulated for the 2004/05 winter. Results for road surface temperature were checked against road station data from several highways, and results for the presence of snow on the road were checked against measurements from the Météo-France weather station network.

Experimental Research on Dynamic Characteristics of a Rolling Agricultural Tire (Influence of Running Condition)

2013 ◽  
Author(s):  
Katsuhide Fujita ◽  
Takashi Saito ◽  
Mitsugu Kaneko
Keyword(s):  
Natural Frequency ◽  
Dynamic Behavior ◽  
Experimental Research ◽  
Dynamic Characteristics ◽  
Excitation Frequency ◽  
Road Surface ◽  
Natural Mode ◽  
The Road ◽  
On The Road ◽  
Agricultural Machines

When agricultural machines are operated on pavements, the vibration and noise caused by the interaction between the tire lugs and the road surface are inevitable. In conventional studies, it is considered that the dynamic behavior of a rolling agricultural tire is influenced by the vibration characteristics of the tire. Resonance occurs when the lug excitation frequency of the tire, which is defined as the lug number multiplied by the number of revolutions of the tire, becomes equal to the natural frequency of the tire. In other words, the rolling tire shows large vibrations in the direction of the natural mode corresponding to the natural frequency of the tire. However, in the conventional equipment, the diameter of the drum is smaller than that of the tire. Therefore, the real running condition on the road was not realized by the rolling test using the conventional equipment. In this study, a new equipment is produced to realize the running condition in the rolling test. The dynamic and vibratory characteristics of operating agricultural machine are investigated by using this new equipment. The obtained results are compared to the conventional ones and the influence of the running condition on dynamic characteristics of rolling tire is investigated.

Experiment with Reduced Salting of Rural Main Roads in Finland

1996 ◽  
Vol 1533 (1) ◽  
pp. 32-37
Author(s):  
Veli-Pekka Kallberg
Keyword(s):  
Road Surface ◽  
Winter Maintenance ◽  
The Road ◽  
Pine Trees ◽  
Traffic Volumes ◽  
On The Road ◽  
The Cost ◽  
Chloride Concentrations

An experiment was conducted in the road district of Kuopio in the winters of 1992–1993 and 1993–1994 in which the use of salt in winter maintenance on rural main roads was reduced to 1 to 2 T/road kilometer from the approximately 10 T of salt that typically had been used per road kilometer in similar conditions in recent years. On the experimental roads, salting was replaced by sanding. The cost of winter maintenance on the experimental roads increased by 20 percent on average, and the increase was higher on roads with higher traffic volumes. Slippery conditions due to ice and snow on the road surface were twice as frequent (30 to 40 percent of the time) on the experimental roads as on the control roads in the neighboring road district. There were 27 injury accidents on the experimental roads in the first winter and 25 in the second. This was about the same as the average of the five previous winters. Because the accident trend on other roads in the same time was decreasing, it was concluded that the experiment increased the number of injury accidents by approximately 20 percent on most experimental road sections. Reduced salting decreased the sodium and chloride concentrations in the needles of roadside pine trees. There were also indications of decreased sodium and chloride concentrations in groundwater. Three quarters of the population in the area was pleased with the experiment.

scholarly journals Heat flux on the road surface

2020 ◽  
Author(s):  
V.YU. Pankov ◽  
A.V. Potapov
Keyword(s):  
Heat Flux ◽  
Road Surface ◽  
The Road ◽  
On The Road

scholarly journals EXAMINATION OF TRUCK TIRES AS TO IDENTIFICATION OF DAMAGES WHICH ARE FORMED AS A RESULT OF OPERATIONAL TIRE WEAR OR PRODUCT DEFECT

2020 ◽  
Vol 21 (1) ◽  
pp. 441-451
Author(s):  
A. Frolov ◽  
O. Shabratko
Keyword(s):  
Road Surface ◽  
Specific Pressure ◽  
Dynamic Impact ◽  
Tire Pressure ◽  
General Increase ◽  
The Road ◽  
Truck Tires ◽  
On The Road ◽  
Product Defect ◽  
External Inspection

The sequence of carrying out of researches of tires of a freight vehicle on the basis of expert practice is considered. The research of tires of a truck has been conducted, an example of an expert research of tires is resulted, as a result of which the causes of damage of tires were established. The tire connects the vehicle to the road, perceives its weight, braking effort and dynamic impact that arises due to the roughness of the road surface. It is not uncommon for the vehicle to operate even on roads with a satisfactory road surface and damage to the tires. Damage to the tires can be generated as a result of industrial damage (factory defect) and as a result of operational damage. The most common and serious cause of premature wear and damage to tires is non-compliance with the established air pressure norms and overload tires. Changing the configuration of the profile and increasing the deformation of the bus cause an increase in the voltage in its material. As a result, it increases its premature wear. At increased load (overload) the tension voltage in the places of contact of the tire with the road increases and its specific pressure on the road, from which the tread wears away more quickly. Overvoltage in the material and increase in deformation is accompanied by a general increase in friction and heat formation in the tire. At increased load (overload) the tension voltage in the places of contact of the tire with the road increases and its specific pressure on the road, from which the tread wears away more quickly. Overvoltage in the material and increase in deformation is accompanied by a general increase in friction and heat formation in the tire. In the course of the research it was established that the tires Satoya SD 062-III have operational damage, the detects damage to the tires was formed as a result of their operation, which could contribute to vehicle overload, non compliance with tire pressure and the movement of the vehicle on roads with improper road surface. External inspection the examination of Satoya SD 062-III tires showed no signs of industrial damage (factory defects).

scholarly journals Detection of Coordinate Based Accident-Prone Areas on Road Surface using Machine Learning Methods

2020 ◽  
Vol 12 (3) ◽  
pp. 19-25
Author(s):  
Anitha Kumari Dara ◽  
Dr. A. Govardhan
Keyword(s):  
Spatial Data ◽  
Surface Defects ◽  
Road Accident ◽  
Road Surface ◽  
The Other ◽  
Work Outcomes ◽  
Traffic Density ◽  
Surface Conditions ◽  
The Road ◽  
On The Road

The growth in the road networks in India and other developing countries have influenced the growth in transport industry and other industries, which depends on the road network for operations. The industries such as postal services or mover services have influenced the similar growths in these industries as well. However, the dependency of these industries is high on the road surface conditions and any deviation on the road surface conditions can also influence the performance of the services provided by the mentioned services. Nonetheless, the conditions of the road surface are one of the prime factors for road safety and number of evidences are found, which are discussed in subsequent sections of this work, that the bad road surface conditions are increasing the road accidents. Several parallel research attempts are deployed in order to find out, the regions where the road surface conditions are not proper, and the traffic density is higher. Nevertheless, outcomes of these parallel works are highly criticised due to the lack of accuracy in detection of the road surface defects, detection of accurate location of the defects and detection of the traffic density data from various sources. Thus, this work proposes a novel framework for detection of the road defect and further mapping to the spatial data coordinates resulting into the detection of the accident-prone zones or accident affinities of the roads. This work deploys a self-adjusting parametric coefficient-based regression model for detection of the risk factors of the road defects and in the other hand, extracts the traffic density of the road regions and further maps the accident affinities. This work outcomes into 97.69% accurate detection of the road accident affinity and demonstrates less complexity compared with the other parallel research outcomes

scholarly journals IoT Bus Navigation System with Optimized Routing using Machine Learning

2021 ◽  
Vol 13 (3) ◽  
pp. 1-15
Author(s):  
Samer I. Mohamed ◽  
◽  
Muhamed Abdelhadi
Keyword(s):  
Machine Learning ◽  
Public Transportation ◽  
Operating Cost ◽  
Machine Learning Algorithms ◽  
Layered System ◽  
The Road ◽  
Chip Technology ◽  
On The Road ◽  
On Chip ◽  
Maintenance Schedules

As the population in Egypt is ever expanding, it is reflected in the increase of the number of vehicles on the road. Public transportation is the solution and the number of available buses can cover a significant amount of the population demand. However, the outdated state of the transportation infrastructure, the static nature of the lines and indistinct schedules create a confounding and unappealing user experience which prompts the users to stray to cars for their needs. So, an Intelligent Urban Transportation System (IUTS) is a must. IUTS is a multi-layered system which provides the solution for most of these problems. It operates on different layers starting from a real time vehicle tracking for transparent and efficient management of assets, cash-less ticketing done through RFID cards, vehicle health and diagnostic data for creation of automated maintenance schedules and a friendly interactive driver interface. In this paper an approach based on combining all these technologies is discussed where the hardware component is implemented based on System-on-Chip technology with custom hardware to interface with the vehicle. The data collected from the on-board unit is sent to the cloud, and with the help of machine learning algorithms the dynamic responsiveness of the system is guaranteed. The proposed system outperforms other existing ones through the dynamic and optimized routing feature for the bus navigation to optimize the operating cost but still satisfy the passengers’demand.

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