scholarly journals A Compact Road Weather Station

2021 ◽  
Vol 1202 (1) ◽  
pp. 012037
Author(s):  
Taisto Haavasoja ◽  
Pauli Nylander ◽  
Leena Puhakka
Keyword(s):  
Atmospheric Pressure ◽  
Road Surface ◽  
Dew Point ◽  
End User ◽  
The Road ◽  
Road Condition ◽  
Trend Data ◽  
Weather Stations ◽  
Bare Minimum ◽  
Mobile Condition

Abstract Road Weather Stations (RWS) have been extensively used for collecting information about slippery road conditions during the last thirty years. Recently, vehicle based mobile road condition monitors have challenged the fixed RWS. Both approaches have their advantages and can complete each other. Fixed RWS can provide accurate trend data whereas mobile condition monitors can cover the road sections between RWS. Nevertheless, a traditional RWS is a fairly expensive investment, typically 30 000 € or much more, and often includes a number of components not essential for the purpose of measuring and predicting road conditions. To reduce the total cost we have developed a bare minimum of a fixed RWS including only the essential sensor information like road surface state, friction, water and frozen layer thickness, air temperature, road surface temperature, dew point temperature, atmospheric pressure, wind speed and estimated ground temperature at -6 cm. The targeted end user price of the station is one third of the traditional price level. We report experiences with the first installations during 2020-2021.

scholarly journals The system of removing slush in passenger cars - a concept

2018 ◽  
Vol 19 (12) ◽  
pp. 217-220
Author(s):  
Michał Rubach ◽  
Konrad Waluś
Keyword(s):  
Atmospheric Pressure ◽  
Road Safety ◽  
Road Traffic ◽  
Dew Point ◽  
Passenger Cars ◽  
Dew Point Temperature ◽  
The Road ◽  
On The Road ◽  
Vehicle Movement ◽  
Temperature Surface

The appearance of slush on the road is determined by the intensity of precipitation, ambient temperature, surface and dew point temperature, atmospheric pressure and road traffic. The condition of slush (mixture of snow, ice, sand and chemicals such as salt) significantly affects the scope of road safety and the acceleration achieved in the driving processes. The agglomeration of slush in the space between the wheel and the wheel arches increases the resistance of the vehicle movement and increases the load on the suspension system and the steering. Excess snow and ice increases the risk of damage to these systems and may affect the steering and stability of the vehicle. The process of "deposition" of slush is particularly noticeable in environmental conditions with high humidity, and ambient and surface temperatures are below zero degrees Celsius. The article presents the idea of a system for removing slush from wheelhouse liners.

scholarly journals Applying the METRo model for road-condition forecasting in Norway 

2021 ◽  
Author(s):  
Stephanie Mayer ◽  
Fabio Andrade ◽  
Torge Lorenz ◽  
Luciano de Lima ◽  
Anthony Hovenburg ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Heat Dissipation ◽  
Road Traffic ◽  
Weather Forecast ◽  
Road Surface ◽  
Balance Model ◽  
Weather Station ◽  
The Road ◽  
Road Surface Temperature ◽  
Road Condition

<p>According to the 14<sup>th</sup> Annual Road Safety Performance Index Report by the European Transport Safety Council, annually more than 100,000 accidents occur on European roads, of which 22,660 people lost their lives in 2019. The factors contributing to road traffic accidents are commonly grouped into three categories: environment, vehicle or driver. The European accident research and safety report 2013 by Volvo states in about 30% of accidents contributing factors could be attributed to weather and environment leading for example to unexpected changes in road friction, such as black ice. In this work, we are developing a solution to forecast road conditions in Norway by applying the <em>Model of the Environment and Temperature of Roads – METRo</em>, which is a surface energy balance model to predict the road surface temperature. In addition, METRo includes modules for water accumulation at the surface (liquid and frozen) and vertical heat dissipation (Crevier and Delage, 2001). The road condition is forecasted for a given pair of latitude, longitude and desired forecast time. Data from the closest road weather station and postprocessed weather forecast are used to initialize METRo and provide boundary conditions to the road weather forecast. The weather forecasts are obtained from the THREDDS service and the road weather station data from the FROST service, both provided by MET Norway. We develop algorithms to obtain the data from these services, process them to match the METRo model input requirements and send them to METRo’s pre-processing algorithms, which combine observations and forecast data to initialize the model. In a case study, we will compare short-term METRo forecasts with observations obtained by road weather stations and with observations retrieved by car-mounted environmental sensors (e.g., road surface temperature). This work is part of the project <em>AutonoWeather - Enabling autonomous driving in winter conditions through optimized road weather interpretation and forecast</em> financed by the Research Council of Norway in 2020. </p>

scholarly journals Topography analysis using wearable devices and its integration in navigation systems

2018 ◽  
Vol 7 (3.29) ◽  
pp. 125
Author(s):  
S Domb Menachem ◽  
Sanjay Sanjay
Keyword(s):  
Road Surface ◽  
Navigation Systems ◽  
End User ◽  
Surface Information ◽  
Safety Requirements ◽  
The Road ◽  
Automatic Navigation ◽  
Route Finding ◽  
Three Stages ◽  
Gps Devices

Automatic navigation in an unknown environment raises various challenges as many cues about orientation are difficult to perceive without the use of vision. Though assisted aids such as GPS devices help in route finding, still it fails to fulfill safety requirements. This paper proposes a framework that provides accurate guiding and information on the route traversal and the topography of the road ahead. The framework is composed of technologies such as Lumigrids, Drone, GPS, Mobile applications, Cloud storage which are used to map the road surface and generate proper navigation guidance to the end user. This is done in three stages; [1]. Off-line mapping of the road surface and storing this information in the cloud. 2. Wearable technology used for obtaining in real-time surface information and comparing it to the data on the cloud facilitating accurate and safer navigation 3. Updating the cloud information with information collected by the pedestrian 

scholarly journals ANALISIS TINGKAT KERUSAKAN JALAN DAN PENGARUNYA TERHADAP KECEPATAN KENDARAAN (STUDI KASUS: JALAN BLANG BINTANG LAMA DAN JALAN TEUNGKU HASAN DIBAKOI)

2018 ◽  
Vol 1 (3) ◽  
pp. 617-626
Author(s):  
Intan Wirnanda ◽  
Renni Anggraini ◽  
Muhammad Isya
Keyword(s):  
Regression Analysis ◽  
Condition Index ◽  
Road Surface ◽  
Road Segment ◽  
Primary Data ◽  
Vehicle Speed ◽  
Pavement Condition ◽  
The Road ◽  
Road Condition ◽  
Pavement Condition Index

Abstract: Abstract:Damage that occurs on some road segment causing huge lossed, especially for road users such as a long travel time, traffic jam, incident, and etc. In general there variety factor that caused of road damage such as age of the road that has been passed, puddle onthe road surface that cannot flow due to the poor drainage, trafic load excessively repetitive (overloaded). Which can cause life time is shorter than planning. Improper planning, poor monitoring and the implementation is not accordance with the existing plan, in addition to the lack of maintenance costs, delays in budget spending and priorities of improper handling also be the cause. It should be noted in order to avoid decreased in the quality of roads due to damage on road surface. The purpose of this study is to determined damage of the road extent/level using PCI method (Pavement Condition Index), determined the effect of road damage to the speed of vehicle using Regression Analysis method. This research take location in the road segment of Blang Bintang Lama road, and Teungku hasan Dibakoi each road is divided into 7 that being reviewed according to the level of damage. Primary data collected by field actual survey in the form of geometric data, extensive damage to the road, and vehicle speed. The results showed that damage of the road is very affected on the vehicle speed as seen on Blang Bintang Lama in V segment the value of PCI is 10 with failed condition and vehicle speed just reached 5.31 Km/h, while in VII segment PCI value is 87 with perfect road condition (excellent) vehicle speed reached to 58.34 Km/h, so that the equation obtained by regression analysis of Y = (3,571)(0,032) ͯ, while for segment in Teungku Hasan Dibakoi road as seen in III Segment PCI value is 4 with failed condition with vehicle speed just 4.95 Km/h, while in the VII segment PCI value is 88 with perfect road condition (excellent) vehicle speed reached to 68.64 Km/h, so the equation obtained by regression analysis of Y is Y= (3,822)(0,035) ͯ. This suggests that higher levels of road damage will affected to slower speed of vehicle, otherwise the lower level of damage road, will make the higher speed of vehicle.Abstrak: Kerusakan jalan yang terjadi di beberapa ruas jalan menimbulkan kerugian yang sangat besar terutama bagi pengguna jalan seperti waktu tempuh yang lama, kemacetan, kecelakaan, dan lain-lain. Secara umum penyebab kerusakan jalan ada berbagai sebab yaitu umur rencana jalan yang telah dilewati, genangan air pada permukaan jalan yang tidak dapat mengalir akibat drainase yang kurang baik, beban lalu lintas berulang yang berlebihan (overloaded) yang menyebabkan umur pakai jalan lebih pendek dari perencanaan. Perencanaan yang tidak tepat, pengawasan yang kurang baik dan pelaksanaan yang tidak sesuai dengan rencana yang ada, selain itu minimnya biaya pemeliharaan, keterlambatan pengeluaran anggaran serta prioritas penanganan yang kurang tepat juga menjadi penyebabnya. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan. Tujuan penelitian ini adalah untuk menentukan tingkat dan jenis kerusakan jalan dengan menggunakan metode PCI (Pavement Condition Index), mengetahui pengaruh kerusakan jalan terhadap kecepatan kendaraan dengan menggunakan metode Analisis Regresi. Penelitian ini mengambil lokasi pada ruas Jalan Blang Bintang Lama dan ruas Jalan Teungku Hasan Dibakoi yang masing-masing jalan terbagi atas 7 segmen yang ditinjau menurut tingkat kerusakannya. Pengumpulan data primer dilakukan dengan survey aktual lapangan yaitu berupa data geometrik jalan, luas kerusakan jalan, dan kecepatan kendaraan. Hasil penelitian menunjukkan bahwa kerusakan sangat berpengaruh terhadap kecepatan kendaraan seperti yang terlihat pada ruas jalan Blang Bintang Lama pada segmen V dengan nilai PCI 10 kondisi jalan gagal (failed) dengan kecepatan kendaraan mencapai 5,37 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 87 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 58,34 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,571)(0,032) ͯ, sedangkan untuk ruas Jalan Teungku Hasan Dibakoi terlihat pada segmen III nilai PCI 4 kondisi jalan gagal (failed) dengan kecepatan mencapai 4,95 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 88 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 68,64 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,822)(0,035) ͯ. Hal ini menunjukkan bahwa semakin tinggi tingkat kerusakan jalan maka semakin rendah kecepatan kendaraan, sebaliknya semakin rendah tingkat kerusakan maka semakin tinggi kecepatan kendaraan.

scholarly journals Analisa Koefisien Gesek Kinetis Terhadap Struktur Permukaan Jalan Akibat Beban Dinamik Mobil

2018 ◽  
Vol 1 (1) ◽  
pp. 047-051
Author(s):  
Muhammad Nuh Hudawi Pasaribu ◽  
Muhammad Sabri ◽  
Indra Nasution
Keyword(s):  
Friction Coefficient ◽  
Coefficient Of Friction ◽  
Surface Texture ◽  
Road Surface ◽  
Vehicle Speed ◽  
Kinetic Friction ◽  
The Road ◽  
Road Condition ◽  
Asphalt Road ◽  
The Coefficient Of Friction

Tekstur permukaan jalan umumnya terdiri dari aspal dan beton. Kekasaran tekstur permukaan jalan dapat disebabkan oleh struktur perkerasan dan beban kendaraan. Kekasaran tekstur permukaan jalan, bebandan kecepatan kendaraan akan mempengaruhi koefisien gesek. Untuk mengetahui nilai koefisien gesek dilakukan penelitian dengan melakukan variasi beban mobil (Daihatsu Xenia, Toyota Avanza, Toyota Innova dan Toyota Yaris) terhadap kontak permukaan jalan (aspal dan beton) dan kecepatan kendaraan. Hasil penelitian menunjukkan bahwa massa, lebar kontak tapak ban terhadap permukaan jalan dan kecepatan sangat mempengaruhi nilai koefisien gesek kinetis. Koefisien gesek kinetis yang terbesar untuk ketiga kontak permukaan jalan (aspal lama IRI 10,1, Aspal baru IRI 6,4 dan beton IRI 6,7) dengan menggunakan mobil Daihatsu Xenia terjadi pada kondisi jalan beton yaitu 0,495 pada kecepatan 35 Km/Jam. Koefisien kinetis jalan beton > 52 % dibandingkan jalan aspal pada parameter IRI yang sama (6-8).Koefisien gesek kinetis > 0,33 diperoleh di jalan beton pada kecepatan 30 – 40 Km/Jam   The texture of road surface generally consists of asphalt and concrete. The roughness of the road surface texture could be caused by the structure of the pavement and the load of the vehicles. Roughness of road surface texture, load and speed of vehicles would affect to the coefficient of friction. This research was carried out to find out the value of the coefficient of friction by using various load of cars (Daihatsu Xenia, Toyota Avanza, Toyota Innova and Toyota Yaris) on road surface contact (asphalt and concrete) and vehicle speed. The result showed the mass, the width of the tire tread contact to the road surface, and speed very influenced the coefficient value of kinetic friction. The biggest kinetic friction coefficient for all three road surface contacts (IRI 10.1 old asphalt, IRI 6.4 and IRI 6.7) using the Daihatsu Xenia was on the concrete road condition i.e. 0.495 on a speed of 35 km/hour. The concrete road kinetic coefficient was >52% compared to the asphalt road in the same IRI parameter (6-8). The kinetic friction coefficient >0.33 was obtained on the concrete road on a speed of 30 - 40 km/hour.

scholarly journals Map support of winter road maintenance

Geografie ◽  
2009 ◽  
Vol 114 (3) ◽  
pp. 218-229
Author(s):  
David Konečný
Keyword(s):  
Road Maintenance ◽  
Winter Maintenance ◽  
The Road ◽  
Weather Information ◽  
Maintenance System ◽  
Road Condition ◽  
System Operator ◽  
Winter Road ◽  
Weather Stations ◽  
Maintenance Activities

The aim of this paper is to present road weather information system and map sources which can be used by winter maintenance system operator to clarify his perception of road meteorological situation in order to be able to take well-founded decision while managing maintenance activities. Presently the so-called status map showing current warnings from road weather stations is the principal map in winter maintenance. In its new version displaying the map of any feature measured by outstations as well as layer handling and zooming will be available. Map outputs of the model forecasting the road condition and temperature are described in the last chapter.

Appraisal on Different Sustainable Road Stabilization Techniques for Different Road Condition and Materials

2020 ◽  
Vol 975 ◽  
pp. 208-213
Author(s):  
Mohd Idrus Mohd Masirin ◽  
Halina Abdul Hamid ◽  
Raha Abdul Rahman ◽  
Abdullah Wagiman ◽  
Mohammad Sukri Mustapa ◽  
...  
Keyword(s):  
Soil Stabilization ◽  
Ground Improvement ◽  
Surface Condition ◽  
Road Surface ◽  
Engineering Properties ◽  
The Road ◽  
Subgrade Soil ◽  
Road Condition ◽  
The Difference ◽  
Ground Condition

Road condition in term of road surface condition depends on the subgrade soil strength. Therefore, a weak subgrade condition requires improvements in stabilization. Soil stabilization is the alteration of one or more geotechnical properties to create an improved soil material possessing the desired engineering properties. The main purpose of the soil stabilization is to increase the shear strength of an existing ground condition to enhance its load-bearing capacity, achieve a desired improved permeability and enhance the durability of the soil to resistance to the process of weathering, and traffic usage among others. Three method in soil stabilization considered in this study are chemical admixture, mechanical and geosynthetics methods. The difference in soil stabilization methods depends on the different road surface conditions. Road condition with weakness subgrade is more appropriate and economical in used stabilization chemical method. In this paper, discussing the road condition requires the ground improvement through soil stabilization

Design of Road Condition Sensor Based on Multiple Frequency Detecting Technology

2014 ◽  
Vol 609-610 ◽  
pp. 937-941
Author(s):  
Xue Peng Dong ◽  
Lei Han ◽  
Gang Yi Yin ◽  
Lei Cai
Keyword(s):  
Road Surface ◽  
Multiple Frequency ◽  
Highway Traffic ◽  
The Road ◽  
Main Work ◽  
Road Condition

Road surface sensors system, plays a very important role in the highway traffic field. Comprehensive estimation of road condition, will distinctly enhance the safety of transportation. Road condition sensor is used to distinguish the coverings on road surface, such as water, snow, ice, frost and so on. In this paper, we introduce the multiple frequency detecting technology used in the road surface sensors system, and design the road condition sensor to detect coverings on road surface. The main work includes design, measurement and improvement of the sensor.

Smart Road Surface Monitoring with Privacy Preserved Scheme for Vehicle Crowd Sensing

2019 ◽  
Vol 16 (8) ◽  
pp. 3204-3210 ◽  
Author(s):  
R. Aishwarya ◽  
R. Yogitha ◽  
V. Kiruthiga
Keyword(s):  
Road Surface ◽  
Transport Infrastructure ◽  
Sensor Technology ◽  
Route Discovery ◽  
The Road ◽  
On Demand ◽  
Transport Services ◽  
Crowd Sensing ◽  
Street View ◽  
Road Condition

In the Modern years many varieties of solutions has been framed for transport infrastructure such as street view application, traffic scrutiny, shortest road path navigation and route discovery. The current requirements and most significant of transport infrastructure has been lead towards the monitoring of road surface condition. Many varieties of solutions have been generated with sensor technology in existing system. Because of this, most of the systems using sensors are getting trouble in existing method for analyzing the condition of road surface and also no awareness or warning for the people who travel for the first time. So that initially visual observe of every surface of the road for the particular areas has been analyzed for a superior solution. Observation can be done by taking site survey, street view applications and also getting suggestion from the highway engineers. Later every detail about the surface of the observed road will be updated with the help of crowd sensing and Global Positioning System (GPS) Vehicle based sensing technology frequently which provides the user-friendly transport services to the customer. In our work the intermediate server called Fog Node is proposed to update the genuine data about the surface of the road condition to the cloud server by applying the Light Weight Signcryption method. The best road condition path for the sensor based cars is to be notified when the car is nearer to the Road Side Unit (RSU) with the help of Global System for Mobile communication (GSM) and also the details will be provided for the client on demand. The implementation can be proved with our proposed method to reach the best path recover, less storage, power consumption and finding proper route discovery. Also, it will dispense on demand data for the road based customers through mobile application with privacy preserved technology.

scholarly journals A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 404
Author(s):  
Hyeong-Jun Kim ◽  
Jun-Young Han ◽  
Suk Lee ◽  
Jae-Ryon Kwag ◽  
Min-Gu Kuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
New Technologies ◽  
Road Surface ◽  
Safe Driving ◽  
Surface Conditions ◽  
The Road ◽  
Acceleration Data ◽  
Road Condition ◽  
Artificial Neural

The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver of the road conditions. iTire can promote safe driving. Various kinds of research on iTire is ongoing, and this paper proposes an algorithm to determine the road surface conditions while driving. Specifically, we have proposed a method for extracting the feature points of a frequency band, by converting acceleration data collected by sensors through fast Fourier transform (FFT) and determining road surface conditions via an artificial neural network. Lastly, the applicability of the algorithm was verified.

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