scholarly journals A Theoretical Model with Which to Safely Optimize the Configuration of Hydraulic Suspension of Modular Trailers in Special Road Transport

2020 ◽  
Vol 11 (1) ◽  
pp. 305
Author(s):  
Rubén Escribano-García ◽  
Marina Corral-Bobadilla ◽  
Fátima Somovilla-Gómez ◽  
Rubén Lostado-Lorza ◽  
Ash Ahmed
Keyword(s):  
Theoretical Model ◽  
Wind Turbine ◽  
Optimization Algorithm ◽  
Hydraulic Cylinder ◽  
Road Transport ◽  
Automatic Testing ◽  
Transport Systems ◽  
The Road ◽  
Proposed Model ◽  
On The Road

The dimensions and weight of machines, structures, and components that need to be transported safely by road are growing constantly. One of the safest and most widely used transport systems on the road today due to their versatility and configuration are modular trailers. These trailers have hydraulic pendulum axles that are that are attached in pairs to the rigid platform above. In turn, these modular trailers are subject to limitations on the load that each axle carries, the tipping angle, and the oil pressure of the suspension system in order to guarantee safe transport by road. Optimizing the configuration of these modular trailers accurately and safely is a complex task. Factors to be considered include the load’s characteristics, the trailer’s mechanical properties, and road route conditions including the road’s slope and camber, precipitation and direction, and force of the wind. This paper presents a theoretical model that can be used for the optimal configuration of hydraulic cylinder suspension of special transport by road using modular trailers. It considers the previously mentioned factors and guarantees the safe stability of road transport. The proposed model was validated experimentally by placing a nacelle wind turbine at different points within a modular trailer. The weight of the wind turbine was 42,500 kg and its dimensions were 5133 × 2650 × 2975 mm. Once the proposed model was validated, an optimization algorithm was employed to find the optimal center of gravity for load, number of trailers, number of axles, oil pressures, and hydraulic configuration. The optimization algorithm was based on the iterative and automatic testing of the proposed model for different positions on the trailer and different hydraulic configurations. The optimization algorithm was tested with a cylindrical tank that weighed 108,500 kg and had dimensions of 19,500 × 3200 × 2500 mm. The results showed that the proposed model and optimization algorithm could safely optimize the configuration of the hydraulic suspension of modular trailers in special road transport, increase the accuracy and reliability of the calculation of the load configuration, save time, simplify the calculation process, and be easily implemented.

scholarly journals Technical and Technological Innovations and Quality in Road transport of Goods - Selected Aspects

2019 ◽  
Vol 83 ◽  
pp. 51-62
Author(s):  
Małgorzata Kędzior-Laskowska
Keyword(s):  
Road Transport ◽  
Transport Systems ◽  
Quality Of Services ◽  
Technological Innovations ◽  
Intelligent Transport ◽  
The Road ◽  
Transport Services ◽  
On The Road ◽  
The Impact

The article presents the results of research regarding the impact of technical and technological innovations on the quality of services in road transport of goods. The study was conducted using a structured questionnaire survey on a sample of134 road transport companies. Respondents were managers and business owners. 7 factors, which potentially determined the quality of services, were assessed by the respondents. The data analysis used the arithmetic mean and the dominant, which formed the basis for determining the importance of a given factor for the quality of services. The variability analysis provided information about the variation of the sample. The results of the research proved the influence of innovation on quality. The highest-ranked factors supporting the quality ofroad transport services were intelligent transport systems, the ability to minform the customer about the actual location of the shipment (delivery time) and systems supporting the work of a professional driver. The article also identified selected innovations and attempts were made to determine their importance in the development of the quality of services and the effects of their functioning on the road transport system.

Prediction of Design Hourly Volume on Rural Roads

2020 ◽  
pp. 036119812096556
Author(s):  
Miloš Petković ◽  
Vladan Tubić ◽  
Nemanja Stepanović
Keyword(s):  
Coefficient Of Determination ◽  
Rural Roads ◽  
The Road ◽  
Annual Average Daily Traffic ◽  
Proposed Model ◽  
Traffic Volumes ◽  
Implementation Costs ◽  
On The Road ◽  
Predicted Values ◽  
Design Hourly Volume

Design hourly volume (DHV) represents one of the most significant parameters in the procedures of developing and evaluating road designs. DHV values can be accurately and precisely calculated only on the road sections with the implemented automatic traffic counters (ATCs) which constantly monitor the traffic volume. Unfortunately, many road sections do not contain ATCs primarily because of the implementation costs. Consequently, for many years, the DHV values have been defined on the basis of occasional counting and the factors related to traffic flow variability over time. However, it has been determined that this approach has significant limitations and that the predicted values considerably deviate from the actual values. Therefore, the main objective of this paper is to develop a model which will enable DHV prediction on rural roads in cases of insufficient data. The suggested model is based on the correlation between DHVs and the parameters defining the characteristics of traffic flows, that is, the relationship between the traffic volumes on design working days and non-working days, and annual average daily traffic. The results of the conducted research indicate that the application of the proposed model enables the prediction of DHV values with a significant level of data accuracy and reliability. The coefficient of determination (R2) shows that more than 98% of the variance of the calculated DHVs was explained by the observed DHV values, while the mean error ranged from 4.86% to 7.84% depending on the number of hours for which DHV was predicted.

scholarly journals The Effects of ITS Application in Speed Management on State Road From Mali Pozarevac to Kragujevac

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tomislav Petrović ◽  
Miloš Milosavljević ◽  
Milan Božović ◽  
Danislav Drašković ◽  
Milija Radović
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Quality Data ◽  
Transport Systems ◽  
Speed Limit ◽  
Accident Risk ◽  
The Road ◽  
Road Users ◽  
Speed Management ◽  
On The Road

The application of intelligent transport systems (hereinafter ITSs) on roads enables continuous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic accident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.

scholarly journals Measures to optimize traffic and the environment. Calculations of environmental safety on a given section of the Rostov-on-Don road network

2020 ◽  
pp. 68-77
Author(s):  
R. S. Durov ◽  
◽  
E. V. Varnakova ◽  
K. O. Kobzev ◽  
◽  
...  
Keyword(s):  
Road Network ◽  
Road Transport ◽  
Environmental Safety ◽  
Environmental Indicators ◽  
Nox Emissions ◽  
The Road ◽  
Before And After ◽  
Reduce Emissions ◽  
On The Road ◽  
State Of The Environment

Introduction. One of the most pressing socio-economic problems is the state of the environment, which affects the living conditions of many people. The article deals with the problem areas of the intersection of 20-ya Liniya street – Sholokhov Avenue in Rostov-on-Don. Problem Statement. The purpose of this paper is to improve environmental safety at the intersection of 20-ya Liniya street – Sholokhov Avenue in Rostov-on-Don by reducing emissions from road transport through the proposed measures to reorganize traffic on this section of the road network. Theoretical Part. The article provides an assessment of environmental and road safety on the road network section before applying the proposed measures. The measures are listed and justified that would help improve the conditions for road transport at the selected intersection and reduce emissions from road transport, which would improve environmental safety. The calculation of environmental indicators was made after the proposed measures to reduce NOx emissions by cars. Conclusion. The article analyzes the environmental indicators before and after the events, and then compares them. Based on the analysis and calculations, it is determined how much the proposed measures to optimize traffic will help reduce NOx emissions by cars.

scholarly journals PENGGUNAAN DATA AIS-IRSMS UNTUK PREDIKSI KECELAKAAN MELIBATKAN SEPEDA MOTOR PADA RUAS JALAN DI KOTA SURABAYA

2018 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Muhammad Zainul Arifin ◽  
Imma Widyawati Agustin ◽  
Sonya Sulistyono
Keyword(s):  
Generalized Linear Models ◽  
Linear Models ◽  
Road Transport ◽  
Transport Policy ◽  
Policy Makers ◽  
Accident Prediction ◽  
The Road ◽  
Accident Data ◽  
On The Road ◽  
Accident Estimation

Accidents of involving motorcycles in Surabaya tend to increase. Recorded from 2014 to 2016 were reached 721, 929 and 1,325 accidents. This phenomenon is certainly not beneficial for the community and road transport policy makers. This study was conducted to determine the characteristics of motorcycle riders and accidents of involving motorcycles. This research further develops estimation of accident prediction involving motorcycle in Surabaya City. Accident data compiled from AIS-IRSMS to know the characteristics of users and accidents using the accidents approach. The research location was conducted in accident prone areas during January 2014 to February 2017 also using AIS-IRSMS. With the Generalized Linear Models (GLMs), the result of estimation of accident estimation involving motorcycle that is McA = 0.00225 Q1.030 e(0.034 S). Accidents of involving motorcycles are heavily influenced by the number of vehicles on the road and the speed of the vehicle. Kecelakaan melibatkan sepeda motor di Kota Surabaya cenderung mengalami peningkatan. Tercatat tahun 2014 hingga 2016 mencapai 721, 929 dan 1.325 kejadian kecelakaan. Fenomena ini tentunya tidak menguntungkan bagi masyarakat dan pengambil kebijakan terkait transportasi jalan raya. Penelitian ini dilakukan untuk mengetahui karakteristik pengendara sepeda motor terlibat kecelakaan dan kecelakaan melibatkan sepeda motor. Lebih lanjut penelitian ini melakukan pengembangan estimasi prediksi kecelakaan melibatkan sepeda motor di Kota Surabaya. Data kecelakaan dikompulir dari AIS-IRSMS untuk mengetahui karakteristik penguna dan kecelakaan menggunakan pendekatan frekwensi kejadian. Lokasi penelitian dilakukan pada daerah rawan kecelakaan sepanjang Januari 2014 hingga Februari 2017 juga menggunakan bantuan AIS-IRSMS. Menggunakan metode Generalized Linear Models (GLMs), hasil penelitian diperoleh estimasi prediksi kecelakaan melibatkan sepeda motor yaitu McA= 0,00225 Q1,030 e(0,034 S). Kecelakaan melibatkan sepeda motor sangat dipengaruhi oleh banyaknya kendaraan di jalan dan kecepatan kendaraan.

TRAFFIC FLOWS MODELING WITH INACCESSIBLE FOR DRIVING ROAD SECTIONS

2021 ◽  
pp. 19-36
Author(s):  
Anastasiya N. Zhukova ◽  
◽  
Marina S. Shapovalova ◽  
Keyword(s):  
Network Formation ◽  
Road Transport ◽  
Traffic Density ◽  
Traffic Flows ◽  
The Road ◽  
Model Modification ◽  
Road Section ◽  
Transport Line ◽  
On The Road ◽  
Python Programming

Computerized traffic modeling makes it possible to find out the modification needs to assess the traffic flow on the roads and detect likely problem areas in order to take timely measures to eliminate them. Competent preparation of a road network formation plan based on the acquired information makes it possible to reduce the load on the road transport line, avoid traffic jams, and also reduce the average time spent by drivers on the roads. The macroscopic and microscopic models of the cars flow were analyzed by authors to implement the computer model. The article considered the model of the cellular automata by Nagel–Schreckenberg, with the author’s addition that takes into account the presence of the road sections inaccessible for driving in. The need to modify the lane change algorithm was implemented: the condition of the need to change the lane when car is meeting an inaccessible road section was added. And also the “polite” drivers algorithm for bypassing inaccessible areas with a high density of the traffic flows was proposed. Such a model is realized on Python programming language. An analysis of vehicles behavior with different traffic density and location of inaccessible road sections for two- and three-lane roads was carried out based on that model modification.

scholarly journals Macro Models of Casualties in Road Transport / Modelowanie Strat Osobowych W Transporcie Drogowym

2012 ◽  
Vol 23 (1) ◽  
pp. 71-82
Author(s):  
Kazimierz Jamroz
Keyword(s):  
Road Safety ◽  
Road Transport ◽  
Road Accident ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Model Design ◽  
Safety Measures ◽  
The Road ◽  
Transport Safety ◽  
On The Road

Abstract To ensure that road transport safety measures are effective and efficient, forecast tools should be applied to help with strategic decision-making. Models of road safety measures provide such tools. The paper presents a proposed macro model of road accident casualties. The proposed models of road accident fatalities are built from a database covering more than fifty countries worldwide. The concepts of model design can be used for developing factor-based models to describe strategic societal risk on the road networks of selected countries worldwide. One of the concepts was applied to model the number of road accident fatalities. The analyses used Smeed’s model and its modifications developed for the needs of this analysis.

scholarly journals IoT based smart traffic signal monitoring system using vehicles counts

2018 ◽  
Vol 7 (2.21) ◽  
pp. 309 ◽  
Author(s):  
Senthil Kumar Janahan ◽  
M R.M. Veeramanickam ◽  
S Arun ◽  
Kumar Narayanan ◽  
R Anandan ◽  
...  
Keyword(s):  
Waiting Time ◽  
Clustering Algorithms ◽  
Traffic Signal ◽  
Traffic Network ◽  
The Road ◽  
Real Time Traffic ◽  
Proposed Model ◽  
Timing Interval ◽  
On The Road ◽  
Smart Traffic

Traffic signal management is one of the major problematic issues in the current situation. Such scenarios, every signal are getting 60 seconds of timing on the road at a regular interval, even when traffic on that particular road is dense. As per this proposed model in this article, which will be optimized the timing interval of the traffic signal purely depends on the number of vehicles on that particular roadside. The major advantage of this system is that it can able to decrease the more waiting time for the drivers to cross road signal.  In this model, we are using the clustering algorithms model which is based on KNN algorithm. Using this algorithm new model will be liable to determine expected required timing as per provided inputs to the signal which is vehicles count. The input of these systems is vehicles counts on each side of the road from crossing signal.  And this input will be determined on much time is to be provided. “Case studies on this system are traffic network and real-time traffic sub-networks are organized to get the effectiveness of the proposed model.”  

scholarly journals THE SYSTEM OF ROLLING-STOCK’s PARAMETERS OF INTERMODAL PIGGYBACK TRANSPORTATION

2020 ◽  
Vol 17 (2) ◽  
pp. 262-272
Author(s):  
A. V. Tsyganov ◽  
N. A. Osintsev
Keyword(s):  
Systems Approach ◽  
Mutual Influence ◽  
Transport Systems ◽  
Rolling Stock ◽  
Necessary Condition ◽  
Operational Parameters ◽  
Weight Restrictions ◽  
The Road ◽  
On The Road ◽  
Railway Rolling Stock

Introduction. The priority area of transport systems development is the formation of transport corridors with multimodal systems and intermodal cargo delivery technologies, ensuring the achievement of economic, social and environmental goals facing the countries. For the transport system of Russia, which claims to advance transit cargo flows through its territory, the solution to the above problems can be achieved by organization of the piggyback transportation. A necessary condition for the organization of effective piggyback transportation in domestic and international traffics is the systematization of parameters and the assessment of technical compatibility of the involved rolling-stock.Methods and models. A systems approach is used to represent piggyback transportation as a complex technical system consisting of road vehicles, domestic and foreign railway rolling-stock interacting in intermodal terminals. The ER-model is used to describe the conceptual scheme of the piggyback system.Results. The parameters of the road and railway rolling-stock are justified and systematized, their mutual influence is determined at the level of compatibility of their technical and operational parameters in the organization of domestic and international piggyback transportation. Systematization, structuring, storing and updating of rollingstock parameters are carried out using the database «Determining the rolling-stock basic parameters of piggyback delivery systems» developed in Microsoft Access.Conclusion. The developed system of parameters allows to assess technical compatibility of road and railway rolling-stock of the countries participating in piggyback transportation, and can also be used for unification of intermodal transport units and harmonization of the overall weight restrictions on the road and railway networks.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.

scholarly journals With Geospatial in Path of Smart City

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1381-1387 ◽  
Author(s):  
A. S. Homainejad
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Traffic Management ◽  
Road Network ◽  
Aerial Images ◽  
Transport Systems ◽  
City Management ◽  
Traffic Jam ◽  
The Road ◽  
On The Road

With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

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