scholarly journals IMPACT OF USABLE COEFFICIENT OF ADHESION BETWEEN TYRE AND ROAD SURFACE BY MODERN VEHICLE ON ITS DYNAMICS WHILE DRIVING AND BRAKING IN THE CURVE

Transport ◽  
2016 ◽  
Vol 31 (2) ◽  
pp. 142-146 ◽  
Author(s):  
Vladimír Panáček ◽  
Marek Semela ◽  
Vladimír Adamec ◽  
Barbora Schüllerová
Keyword(s):  
Road Accident ◽  
Road Surface ◽  
Vehicle Speed ◽  
Lateral Direction ◽  
The Road ◽  
Cross Country ◽  
Curve Radius ◽  
Range Of Values

The paper deals in detail with the analysis of driving and braking of the Volvo V40 T5 AWD Cross Country vehicle in the curve with radius 30, 40 and 50 meters laying emphasis on usable coefficient of adhesion values between tyre and road surface in the longitudinal and lateral direction. Individual dynamical driving and braking experiments in the curve were carried out using both modes of the Volvo stability system DSTC. We found out the range of values of coefficient of adhesion in the longitudinal and lateral direction depending on the vehicle speed and curve radius of the road. Experimentally determined values are utilised efficiently for the calculation of limit speed of a modern vehicle in the curve or, for instance, at the forensic reconstruction of a road accident.

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 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 A Vehicle Fuel Consumption Model on Reconstructed Roads Based on the Roughness and Its Measurement Method

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qiang Liu ◽  
Jianguang Xie ◽  
Zhixiang Zhang
Keyword(s):  
Fuel Consumption ◽  
Social Benefit ◽  
Road Surface ◽  
Relational Model ◽  
Vehicle Speed ◽  
Modified Model ◽  
The Road ◽  
The Social ◽  
Consumption Model ◽  
Baseline State

The fuel consumption model for a vehicle forms a basis and method for evaluating the social benefit of road reconstruction. Based on the theoretical fuel consumption model of vehicles, the influence mechanism of the apparent parameters of the road surface on the fuel consumption of vehicles and their sensitivity was analysed. The baseline state was defined on the basis of the roughness, a parameter with significant influence. In addition, a method for acquiring fuel consumption parameters was proposed to establish a one-parameter relational model for the roughness and fuel consumption of vehicles in the baseline state based on measured data. Moreover, by considering the effects of the friction coefficient, deflection of the road surface, and vehicle speed on the fuel consumption, a modified model for the fuel consumption of vehicles applicable to road reconstruction was established. Finally, a method for measuring the energy-saving benefit of vehicles was proposed based on the characteristics of reconstructed roads. The research provides a basis for evaluating the social benefit acquired from reconstructed roads.

Method for estimating the speed of a car on a route, taking into account the evenness of the road surface

2021 ◽  
Keyword(s):  
Road Safety ◽  
Evaluation Method ◽  
Rapid Assessment ◽  
Road Surface ◽  
Rolling Stock ◽  
Vehicle Speed ◽  
The Road ◽  
Statistical Studies ◽  
The Russian Federation

The article is devoted to the development of a method for estimating the speed of a car on a route, taking into account the evenness of the road surface. It is shown that in the Russian Federation there are significantly more uneven sections on public and Federal highways than there are flat ones. It is noted that information on the indicators of the international road evenness index is collected and used by the Federal road Agency ROSAVTODOR to improve the road safety sections of the Road safety Department. The designs of push meters are considered. Based on the analysis of statistical studies, it is shown that in Volgograd in 2008—2010, the evenness indicators on trolleybus routes exceeded the maximum permissible value by 45...94 %. The essence of the proposed method for estimating the speed of a car on the route, taking into account the evenness of the road surface, is described. It consists in using the dependence of its average technical speed on the evenness of the road surface, obtained as a result of analyzing the processing of data from long-term monitoring of the speed of cars of this type during their operation. It is shown that the method allows you to automate the process of rapid assessment of the average technical speed of cars, and the application of the method will increase the productivity of rolling stock and the profit of ATP. Keywords evaluation method, vehicle, speed, route, road surface evenness

Modelling and Comparison of Semi-Active Control Logics for Suspension System of 8x8 Armoured Multi-Role Military Vehicle

2014 ◽  
Vol 592-594 ◽  
pp. 2165-2178 ◽  
Author(s):  
M.W. Trikande ◽  
Vinit V. Jagirdar ◽  
Muraleedharan Sujithkumar
Keyword(s):  
Active Control ◽  
Time Domain ◽  
Ride Comfort ◽  
Vertical Direction ◽  
Active Suspension ◽  
Suspension System ◽  
Road Surface ◽  
Vehicle Speed ◽  
The Road ◽  
Road Disturbance

Comparative performance of vehicle suspension system using passive, and semi-active control (on-off and continuous) has been carried out for a multi-axle vehicle under the source of road disturbance. Modelling and prediction for stochastic inputs from random road surface profiles has been carried out. The road surface is considered as a stationary stochastic process in time domain assuming constant vehicle speed. The road surface elevations as a function of time have been generated using IFFT. Semi active suspension gives better ride comfort with consumption of fraction of power required for active suspension. A mathematical model has been developed and control algorithm has been verified with the purpose/objective of reducing the unwanted sprung mass motions such as heave, pitch and roll. However, the cost and complexity of the system increases with implementation of semi-active control, especially in military domain. In addition to fully passive and fully semi-active a comparison has been made with partial semi-active control for a multi-axle vehicle to obviate the constraints. The time domain response of the suspension system using various control logics are obtained and compared. Simulations for different class of roads as defined in ISO: 8608 have been run and the ride comfort is evaluated and compared in terms of rms acceleration at CG in vertical direction (Z), which is the major contributor for ORV (Overall Ride Value) Measurement.

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 Road surface influence on electric vehicle noise emission at urban speed

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 217-227
Author(s):  
Julien Cesbron ◽  
Simon Bianchetti ◽  
Marie-Agnès Pallas ◽  
Adrien Le Bellec ◽  
Vincent Gary ◽  
...  
Keyword(s):  
Urban Area ◽  
Potential Effect ◽  
Road Surface ◽  
Vehicle Speed ◽  
Noise Emission ◽  
Vehicle Noise ◽  
The Road ◽  
Road Surfaces ◽  
Noise Classification ◽  
Ev Model

Abstract Considering the relative quietness of electric motors, tyre/road interaction has become the prominent source of noise emission from Electric Vehicles (EVs). This study deals with the potential influence of the road surface on EV noise emission, especially in urban area. A pass-by noise measurement campaign has been carried out on a reference test track, involving six different road surfaces and five electric passenger car models in different vehicle segments. The immunity of sound recordings to background noise was considered with care. The overall and spectral pass-by noise levels have been analysed as a function of the vehicle speed for each couple of road surface and EV model. It was found that the type of EV has few influence on the noise classification of the road surfaces at 50 km/h. However, the noise level difference between the quietest and the loudest road surface depends on the EV model, with an average close to 6 dBA, showing the potential effect of the road surface on noise reduction in the context of growing EV fleet in urban area. The perspective based on an average passenger EV in a future French or European electric fleet is addressed.

CALCULATION PROCEDURE FOR CHAIN-TYPE ANTI-SLIDING DEVICE WITH CUT-PLATE

2021 ◽  
Vol 12 ◽  
pp. 31-36
Author(s):  
A.N. Zaikin ◽  
◽  
V.V. Sivakov ◽  
D.A. Polonik ◽  
◽  
...  
Keyword(s):  
Road Safety ◽  
Road Surface ◽  
Calculation Procedure ◽  
Factors Affecting ◽  
The Road ◽  
Main Factors ◽  
Cross Country ◽  
The Cross ◽  
A Chain ◽  
Chain Type

The coefficient of grip of wheels to the road surface is one of the main factors affecting road safety. Various auxiliary means for increasing the cross-country ability with varying degrees of success are used to increase it. One of the preferred options for increasing the cross-country ability of vehicles can be automatic snow chains. A calculation procedure for a chain-type anti-sliding device with a cut-plate is presented.

scholarly journals Driving Safety Analysis Using Grid-Based Water-Filled Rut Depth Distribution

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiao Yan ◽  
Hongwei Zhang ◽  
Bing Hui
Keyword(s):  
Water Depth ◽  
Three Dimensional ◽  
Element Model ◽  
Road Surface ◽  
Driving Safety ◽  
Vehicle Speed ◽  
Adhesion Coefficient ◽  
The Road ◽  
Left And Right ◽  
The Impact

The water accumulated in the rutted road sections poses a threat to the safety of vehicles. Water-filled ruts will cause partial or complete loss of the friction between tires and the road surface, leading to driving safety hazards such as hydroplaning and sliding. At present, the maximum water depth of left and right ruts is mostly adopted to analyze the safety of water-filled ruts, ignoring the uneven change of ruts in the driving direction and the cross-section direction, which cannot fully reflect the actual impact of asymmetric or uneven longitudinal ruts on the vehicle. In order to explore the impact of water-filled ruts on driving safety, a three-dimensional (3D) tire-road finite element model is established in this paper to calculate the adhesion coefficient between the tire and the road surface. Moreover, a model of the 3D water-filled rut-adhesion coefficient vehicle is established and simulated by the dynamics software CarSim. In addition, the influence of the water depth difference between the left and right ruts on the driving safety is quantitatively analyzed, and a safety prediction model for the water-filled rut is established. The results of the case study show that (1) the length of dangerous road sections based on vehicle skidding is longer than that based on hydroplaning, and the length of dangerous road sections based on hydroplaning is underestimated by 9.4%–100%; (2) as the vehicle speed drops from 120 km/h to 80 km/h, the length of dangerous road sections obtained based on vehicle sliding analysis is reduced by 93.8%. Therefore, in order to ensure driving safety, the speed limit is controlled within 80 km/h to ensure that the vehicle will not skid. The proposed method provides a good foundation for the vehicles to actively respond to the situation of the water-filled road section.

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