scholarly journals The Problem Of Imputation Of The Missing Data From The Continuous Counts Of Road Traffic

2015 ◽  
Vol 61 (1) ◽  
pp. 131-145 ◽  
Author(s):  
M. Spławińska
Keyword(s):  
Missing Data ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Data ◽  
Traffic Counts ◽  
Sarima Model ◽  
Foreign Literature ◽  
Proposed Model ◽  
Traffic Volumes ◽  
National Road

AbstractMissing traffic data is an important issue for road administration. Although numerous ways can be found to impute them in foreign literature (inter alia, the most effective method, that is Box-Jenkins models), in Poland, still only proven and simplified methods are applied. The article presents the analyses including an assessment of the completeness of the existing traffic data and works related to the construction of SARIMA model. The study was conducted on the basis of hourly traffic volumes, derived from the continuous traffic counts stations located in the national road network in Poland (Golden River stations) from the years 2005 – 2010. As a result, the proposed model was used to impute the missing data in the form of SARIMA (1.1,1)(0,1,1)168. The newly developed model can be used effectively to fill in the missing required days of measurement for estimating AADT by AASHTO method. In other cases, due to its accuracy and laboriousness of the process, it is not recommended.

scholarly journals PENGEMBANGAN JARINGAN JALAN NASIONAL DI SULAWESI UTARA DAN GORONTALO

2020 ◽  
Vol 20 (1) ◽  
pp. 67-76
Author(s):  
Triono Junoasmono ◽  
Hansen Samuel Arberto Gultom ◽  
Brian Sixon Christian Umboh ◽  
Anastasia Caroline Sutandi
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Secondary Data ◽  
Traffic Modeling ◽  
The Road ◽  
North Sulawesi ◽  
Road Development ◽  
Traffic Volumes ◽  
National Road

Abstract The development of the road network is needed to determine the extent of the road network of a city or region that requires handling and development, both in the long term, medium term and short term. The purpose of this study is to obtain a master plan for the development of the national road network in North Sulawesi and Gorontalo Provinces, as a basis for planning the development of the road network for the next 5 years. The data used are primary and secondary data. Based on the results of traffic modeling, the majority of national roads in North Sulawesi Province and in Gorontalo Province have relatively small traffic volumes. The projection results, from 2020 to 2025, show that there are 7 roads that require handling and capacity improvement. Keywords: road network, national road, traffic modeling, road capacity, road development  Abstrak Pengembangan jaringan jalan diperlukan untuk mengetahui sejauh mana jaringan jalan suatu kota atau wilayah memerlukan penanganan maupun pengembangan, baik untuk jangka panjang, jangka menengah, maupun jangka pendek. Tujuan penelitian ini adalah untuk mendapatkan suatu rencana induk pengembangan jaringan jalan nasional di Provinsi Sulawesi Utara dan di Provinsi Gorontalo, sebagai basis perencanaan pengembangan jaringan jalan hingga 5 tahun yang akan datang. Data yang digunakan adalah data primer dan data sekunder. Berdasarkan hasil pemodelan lalu lintas, mayoritas jalan nasional di Provinsi Sulawesi Utara dan di Provinsi Gorontalo memiliki volume lalu lintas yang relatif kecil. Hasil proyeksi dari tahun 2020 sampai dengan tahun 2025, menunjukkan bahwa terdapat 7 ruas jalan yang memerlukan penanganan dan peningkatan kapasitas. Kata-kata kunci: jaringan jalan, jalan nasional, pemodelan lalu lintas, kapasitas jalan, pengembangan jalan

scholarly journals Overview of emerging road traffic data collection methods

2021 ◽  
Author(s):  
Sandra Mihalinac ◽  
Maja Ahac ◽  
Saša Ahac ◽  
Miroslav Šimun
Keyword(s):  
Data Collection ◽  
Traffic Flow ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Volume ◽  
Transport Systems ◽  
Traffic Data ◽  
Data Collection Methods ◽  
Traffic Data Collection ◽  
Collection Methods

It is a well-known fact that the data on road traffic flow characteristics is essential for sustainable road network management. First road traffic volume counts date back to the 1950s when short-term periodic road traffic counts were carried out in cities worldwide. Manual traffic counting is one of the oldest and most technologically simple methods to obtain data on road traffic volume and its composition. Today, because of the ever-growing road transport demand, it has become clear that the development of Intelligent Transport Systems (ITS) is vital to increase safety and tackle increasing emission and congestion problems. The introduction of ITS highly depends on the quality and quantity of traffic data. Under the growing requirement of long-term traffic flow information, various traffic data collection methods have evolved. They allow systematic recording of the traffic flow volume and composition but also vehicle speed, total gross weight, number of axles, axle load and travel destination. This data, which is collected continuously over longer periods, enables a detailed analysis of traffic flows, and represents the basis for decision making in planning, designing, construction and maintenance of road infrastructure. This paper gives an overview of traditional and emerging traffic data collection methods - both fixed and mobile - and the analysis of the current road traffic data collection methods used on the Croatian road network, in terms of their potential and limitations.

scholarly journals Data mining applied for national road maintenance decision support system

2018 ◽  
Vol 195 ◽  
pp. 04007
Author(s):  
Andri Irfan Rifai ◽  
Susanty Handayani ◽  
Ronal Al Rasyid
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network ◽  
Pavement Management ◽  
Geographical Information ◽  
Road Maintenance ◽  
Proposed Model ◽  
National Road

National roads are one of the main networks of a country’s transportation system. To maintain the performance level of national roads requires a well-structured pavement management system (PMS). The decision support system (DSS) is inseparable in the modern PMS, which required the development of a new approach for the DSS in support of national road network maintenance. The proposed model integrates data mining (DM) and geographical information system (GIS) to construct a simple DSS. DM is used to developed road maintenance optimization models, and then integrated with DSS with the help of GIS as an interface application. Historical data on the national road network in West Java, Indonesia is used as a case study. Examples show that the proposed model can determine a decision support solution efficiently. In addition, a userfriendly computer interface is developed so that PMS stakeholders can plan pavement maintenance simply and effectively.

scholarly journals TRAFFIC FORECASTING ON THE CITY ROAD NETWORK TAKING INTO ACCOUNT THE CAPACITY LIMIT

2021 ◽  
Vol 2 (2) ◽  
pp. 27-33
Author(s):  
Denys Zhezherun
Keyword(s):  
Transport System ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Intensity ◽  
The Road ◽  
Traffic Forecasting ◽  
Planning Decisions ◽  
Road Design ◽  
Traffic Volumes ◽  
On The Road

The purpose of the paper is to present a model of traffic forecasting on the road section based on a model of the transport system. Traffic forecasting is an integral part of the road design process, from investment to the feasibility study of working documentation. The definition of transportation and distribution of cars by sections is based on a set of interrelated factors. Full and reasonable consideration of these factors for complex road networks is possible only with the help of mathematical models and appropriate programs. The accuracy and consistency of the forecast determine the reliability of almost all the main characteristics of the projected object, from the direction of the route and the location of connection points with existing elements of the road network, ending with specific planning decisions for the road objects. Subject of research: a road traffic and a traffic intensity. Knowledge of forecast data on traffic intensity makes it possible to predict the possible mechanisms to solve the above problems. Methodology: analysis and research of methods used to predict traffic volumes. The method of extrapolation and the method of using approximating functions. Goal. The aim of the work is to compare the forecasting methods used to determine traffic on the road. It is also necessary to show the experience of traffic forecasting on the road network from a European country. Conclusion. All methods for predicting the volume and intensity of movement are short-lived, and if some achieve the desired predicted result, it is very vague and needs to be tested with complex and expensive research to determine and process the initial data. To achieve the desired results, it is necessary to apply new methods of forecasting modeling or improvement of already known ones, which would take into account the evolution of the entire transport system and its components. Determining the capacity of highways is necessary perform to identify areas with possible congestion, assessment economy and conditions of movement of vehicles, and also for a choice of methods and means to improve the traffic conditions of all road users.

scholarly journals Possibilities to quantify the road traffic on the national road network and motorways in Romania

2019 ◽  
Vol 1 (1) ◽  
pp. 419-429
Author(s):  
Robert-Adrian Sandu ◽  
Carmen Răcănel ◽  
Daniela-Ioana Manea ◽  
Mihaela Mihai
Keyword(s):  
General Circulation ◽  
Road Network ◽  
Road Traffic ◽  
Social Indicators ◽  
Linear Regression Method ◽  
Continuous Growth ◽  
The Road ◽  
Rates Of Evolution ◽  
National Road ◽  
Complex Methods

Abstract As a result of the economic crisis of 2009-2010, the road traffic on the national road network, for the period 2011-2014, decreased considerably. Thus, the evolution coefficients, for the period 2020-2025, registered a trend of decrease in road traffic. Based on the analysis of the results of the automatic traffic records, it was found that the average daily average traffic increased by about 4.7% in 2016 compared to 2015 (the year of the last general circulation census) and is in continuous growth, one of the reasons being removal of car registration tax. In 2015, for the development of evolution coefficients and the rates of evolution of traffic on the national road network, the linear regression method was used which took into account both the evolution of road traffic reported in 1995, 2000, 2005 and 2010, as well as the evolution of road traffic on the traffic counters network for the period 2010-2015. The paper analyzes aspects of the efficiency of the method used until the present and the need to develop coefficients and rates of evolution based on more complex methods, based on several economic and social indicators, including the projected evolution of GDP.

Fractal Characteristics of Mountain Cities' Traffic Flow Based on EMD and Multifractal

2013 ◽  
Vol 831 ◽  
pp. 430-434
Author(s):  
Ling Zhao ◽  
Juan Cao ◽  
Bo Mi
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Road Traffic ◽  
Multifractal Spectrum ◽  
Health State ◽  
Traffic Data ◽  
Time Data ◽  
Flow Signal ◽  
The Road ◽  
Fractal Characteristics

Aim at the characteristics of the mountain cities road traffic network, the short-time data signals in the congestion state of the road network traffic is analyzed. Fractal characteristics of traffic data signal is in research based on the self-similarity of the traffic data signals. The non-stationary property of the traffic flow signal in the congestion state is known through the calculation of the multifractal spectrum of the traffic flow signal based on EMD. The experimental results show the feasibility of the method, which also can provide theoretical support for the traffic flow control of the mountain city road network in the sub-health state.

scholarly journals Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume

2021 ◽  
Vol 11 (3) ◽  
pp. 1193
Author(s):  
Xiaoyi Ma ◽  
Xiaowei Hu ◽  
Thomas Weber ◽  
Dieter Schramm
Keyword(s):  
Road Network ◽  
Traffic Volume ◽  
Data Conversion ◽  
Traffic Data ◽  
The Road ◽  
Traffic Volumes ◽  
Traffic Scenario ◽  
Simulation Scenario ◽  
Set Up ◽  
Real Traffic

This article presents the experience of building a simulation scenario of the whole city of Duisburg using real traffic data. The establishment of the simulation scenario is based on road network and traffic volume. In most cases, it is hard to collect all data sources with high precision. Moreover, it is time-consuming to set up a realistic traffic scenario. Even with available data, conversion, calibration, and validation all take a large effort. With the increase of the respective simulation area, the difficulty and workload rise. In this study, a simulation scenario of the whole city of Duisburg with the road network area of 232 km2 and Origin/Destination (OD) matrix area over 800 km2 was established in the software package SUMO. Four cases with different networks and traffic volumes were built and compared with real traffic data collected from induction loops. The percentage of simulated traffic volume in real traffic volume range can be up to 72.22%.

scholarly journals Applications of Surveying and Geoinformatics for Planning New Routes to Solve Traffic Congestion in part of Minna Metropolis (Kpakungu, a case study)

2019 ◽  
Vol 3 (1) ◽  
pp. 149-160
Author(s):  
I. C. Onuigbo ◽  
T. Adewuyi ◽  
J. O. Odumosu ◽  
G. A. Oluibukun
Keyword(s):  
Land Use ◽  
Traffic Congestion ◽  
Road Network ◽  
Road Traffic ◽  
Urban Land Use ◽  
Land Use Pattern ◽  
The Road ◽  
National Examination ◽  
Traffic Volumes ◽  
On The Road

The volume of traffic generated by land-use pattern varies during different periods of the day but there is usually a predictable pattern of such traffic volumes. Most often, the structure of urban land-use fails to provide easy and convenient traffic movement, which in the case of the study area is usually that of vehicles and pedestrian traffic. The fact is that Minna is presently experiencing rapid urban growth. Both the authorities and citizens seem to simply ignore this and its impact on human existence. The research is based on Road Traffic Network Analysis in Minna, to develop a road network map and determine the causes of Traffic Congestion in Kpakungu specifically. Quickbird satellite imagery was used in analyzing and mapping out the existing road network within the study area. Field survey aspects involving measuring of roads, traffic count, coordinates captured were also undertaken. It was discovered that the causes of the traffic pressure in the study area was as a result of the relocation of Federal University of Technology, Minna to its permanent site in Gidan Kwanu and the relocation of National Examination Council(NECO) Headquarter. Majority of the traffic pressure in the area were as a result of vehicles coming from Maikunkele, Bosso, Maitumbi, Minna central, Dutsen Kura, Chanchaga, Tunga, Sahuka-kahuta and BarikinSale going to Bida, Gidan-Kwanu or NECO office. It was concluded that alternative roads should be provided for vehicle diversion to limit the congestion of traffic on the road.

scholarly journals A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 457 ◽  
Author(s):  
Miomir Stanković ◽  
Željko Stević ◽  
Dillip Kumar Das ◽  
Marko Subotić ◽  
Dragan Pamučar
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Fuzzy Topsis ◽  
The Road ◽  
Dynamic Factors ◽  
Proposed Model ◽  
Criteria Weights ◽  
The Stability ◽  
Criteria Importance ◽  
Decision Making Model

In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.

Final Results of Road Traffic in Winter Project: Socioeconomic Effects of Winter Maintenance and Studded Tires

1996 ◽  
Vol 1533 (1) ◽  
pp. 27-31
Author(s):  
Anne Leppänen
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Good Condition ◽  
Passenger Cars ◽  
Winter Maintenance ◽  
Remote Areas ◽  
The Road ◽  
Current Usage ◽  
National Road ◽  
Large Research

Finland is a sparsely populated country where the road network provides access even to the most remote areas of the country. All public roads maintained by the Finnish National Road Administration (FinnRA) are kept in good condition day and night throughout the year. Sodium chloride is the main substance used for chemical deicing; sanding is used only on roads with little traffic. In Finland the use of studded tires began in the early 1960s. Finland is the leading country in the use of studded tires: in winter, 95 percent of passenger cars have studded tires. The simultaneous use of salt and studded tires causes problems. To solve these problems, FinnRA launched a large research program called “Road Traffic in Winter” to evaluate alternative winter maintenance scenarios for improving social benefits. The project had nine future scenarios, representing permutations of three alternatives each for studded tire use and salting. None of the examined scenarios was more favorable than the baseline situation (current usage). When searching for the socioeconomic optimum, the accident costs become the most important factor, and the accident costs strongly support retention of the baseline situation: the use of salt and studded tires should be continued at current levels despite their drawbacks.

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