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 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 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 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.

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.

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.

Landslide costs on the national road network of Laos

2021 ◽  
pp. qjegh2021-023
Author(s):  
G.J. Hearn ◽  
M.S.P. Kerridge ◽  
P. Pongpanya
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
The Philippines ◽  
Wet Season ◽  
Priority List ◽  
The Road ◽  
Engineering Costs ◽  
Traffic Volumes ◽  
The Cost ◽  
Low Traffic

Compared to most other countries in south and southeast Asia, Laos has a low road network density and low traffic volumes. Much of the road network is located in mountainous terrain where landslides cause regular engineering damage and blockage to traffic. The wet season of 2018 was particularly severe, and triggered many landslides that blocked roads for hours, and days in some cases. The cost of clearing these landslides amounted to an average of almost US$ 5,000 per km. Because of the relatively low traffic volumes that use the mountain road network, traffic costs due to road blockage delays were generally significantly lower per kilometre than engineering costs. Nevertheless, economic analysis demonstrates that investments in landslide stabilisation measures amounting to an average of US$ 50,000 for landslides above the road and US$ 120,000 for those below the road are economically justified if, without these measures, long and frequent delays would ensue. In certain cases, investments much higher than these can be justified. A priority list for landslide stabilisation is developed and outline cost estimates are prepared. Recommendations are made for enhanced landslide management and roadside slope improvement, and a comparison is made between the situation in Laos with that in Vietnam, Bhutan, Nepal and the Philippines. It is concluded that the imperative for investment is even greater in these countries, and especially in Nepal and the Philippines on account of the higher incidence of landslide hazards and greater volumes of road traffic.

scholarly journals Measurements of urban traffic parameters before and after road reconstruction

2021 ◽  
Vol 11 (1) ◽  
pp. 365-376
Author(s):  
Andrzej Bąkowski ◽  
Leszek Radziszewski
Keyword(s):  
Urban Traffic ◽  
Noise Model ◽  
Vehicle Traffic ◽  
The Road ◽  
Passenger Vehicles ◽  
Before And After ◽  
Traffic Volumes ◽  
National Road ◽  
The City ◽  
Good Agreement

Abstract The study analyzed the parameters of vehicle traffic and noise on the national road in the section in the city from 2011 to 2016. In 2013–2014 this road was reconstructed. It was found that in most cases, the distribution of the tested variable was not normal. The median and selected percentiles of vehicle traffic parameters and noise were examined. The variability and type A uncertainty of the results were described and evaluated. The results obtained for the data recorded on working and non-working days were compared. The vehicle cumulative speed distributions, for two-way four-lane road segments in both directions were analyzed. A mathematical model of normalized traffic flow has been proposed. Fit factor R2 of the proposed equations to the experimental data for passenger vehicles ranges from 0.93 to 0.99. It has been shown that two years after the road reconstruction, the median noise level did not increase even though traffic volumes and vehicle speeds increased. The Cnossos noise model was validated for data recorded over a period of 6 years. A very good agreement of the medians determined according to the Cnossos-EU model and the measured ones was obtained. It should be noted, however, that for the other analyzed percentiles, e.g. 95%, the discrepancies are larger.

Preliminary Results in the Development of a Database for Noise Maps

2015 ◽  
Vol 801 ◽  
pp. 102-106
Author(s):  
Anca Maria Moscovici
Keyword(s):  
Road Traffic ◽  
Efficient Solutions ◽  
Geographic Information ◽  
The Road ◽  
Eu Member States ◽  
Road Section ◽  
Noise Data ◽  
On The Road ◽  
National Road ◽  
Gis System

The control of roads traffic, of noise, of all other problems which occur on national road sections are much more manageable through Geographic Information Systems. The possibility of changing parameters in real time from a database, allows rapid information on problems encountered and efficient solutions at a more sustained rate.This paper presents a proposed solution to improve the Geographic Information System by adding noise data, by carrying out a case study on the road section Sag - Voiteg that connects Timisoara (Romania) and Belgrade (Serbia). The existing GIS system was established in 2012 according to the legislation in force at the time. As Year 2017 will mark the next stage of issuing the noise maps according to the rules set by CNOSSOS-EU, the measurements done for this study will follow these new methods. CNOSSOS-EU accurately describes the objectives and methodology requirements, establishes clear criteria for road traffic and sound propagation.The advantage of uniformity standards and methods of control in all EU Member States allows comparative studies on pollution, the number of people affected, etc.

Visualisation and Detection of Road Traffic Events Using Complex Event Processing

2018 ◽  
Author(s):  
Paulo Figueiras ◽  
Hugo Antunes ◽  
Guilherme Guerreiro ◽  
Ruben Costa ◽  
Ricardo Jardim-Gonçalves
Keyword(s):  
Real Time ◽  
Road Network ◽  
Road Traffic ◽  
Complex Event Processing ◽  
Advanced Technology ◽  
Transport Systems ◽  
Automatic Identification ◽  
Event Processing ◽  
Time Data ◽  
The Road

In the recent decades, we have witnessed an increase in the number of vehicles using the road infrastructure, resulting in an increased overload of the road network. To mitigate such problems, caused by the increasing number of vehicles and increasing the efficiency and safety of transport systems has been integrated applications of advanced technology, denominated Intelligent Transport Systems (ITS). However, one problem still unsolved in current road networks is the automatic identification of road events such as accidents or traffic jams, being inhibitor to efficient road management. In order to mitigate this problematic, this paper proposes the development of a technological platform able to detect anomalies (abnormal traffic events) to typical road network status and categorize such anomalies. The proposed work, adopts a complex event processing (CEP) engine able to monitor streams of events and detect specified patterns of events in real time. Data is collectively collected and analysed in real-time from loop sensors deployed in Slovenian highways and national roads, providing traffic flows. This prototype will work with a large number of data, being used to process all data, complex event processing tools. All the data used to validate the present study is based on the Slovenian road network. This work has been carried out in the context of the OPTIMUM Project, funded by the H2020 European Research Framework Program.

scholarly journals Deep-Learning-Based Real-Time Road Traffic Prediction Using Long-Term Evolution Access Data

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5327 ◽  
Author(s):  
Byoungsuk Ji ◽  
Ellen J. Hong
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Road Traffic ◽  
Learning Model ◽  
Long Term Evolution ◽  
The Road ◽  
Term Evolution ◽  
Traffic Speed ◽  
Access Data

In this paper, we propose a method for deep-learning-based real-time road traffic predictions using long-term evolution (LTE) access data. The proposed system generates a road traffic speed learning model based on road speed data and historical LTE data collected from a plurality of base stations located within a predetermined radius from the road. Real-time LTE data were the input for the generated learning model in order to predict the real-time speed of traffic. Since the system was developed using a time-series-based road traffic speed learning model based on LTE data from the past, it is possible for it to be used for a road where the environment has changed. Moreover, even on roads where the collection of traffic data is invalid, such as a radio shadow area, it is possible to directly enter real-time wireless communications data into the traffic speed learning model to predict the traffic speed on the road in real time, and in turn, raise the accuracy of real-time road traffic predictions.

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