scholarly journals Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

2019 ◽  
Vol 5 (8) ◽  
pp. 1698-1713 ◽  
Author(s):  
Ramadan K Duraku ◽  
Riad Ramadani
Keyword(s):  
Road Network ◽  
Original Data ◽  
Traffic Volume ◽  
Data Set ◽  
The Road ◽  
Automatic Counting ◽  
Traffic Volumes ◽  
Pca Method ◽  
Combined Models ◽  
Socio Economic Variables

The purpose of this study is to develop a model for traffic volume forecasting of the road network in Anamorava Region. The description of the current traffic volumes is enabled using PTV Visum software, which is used as an input data gained through manual and automatic counting of vehicles and interviewing traffic participants. In order to develop the forecasting model, there has been the necessity to establish a data set relying on time series which enables interface between demographic, socio-economic variables and traffic volumes. At the beginning models have been developed by MLR and ANN methods using original data on variables. In order to eliminate high correlation between variables appeared by individual models, PCA method, which transforms variables to principal components (PCs), has been employed. These PCs are used as input in order to develop combined models PCA-MLR and PCA-RBF in which the minimization of errors in traffic volumes forecasting is significantly confirmed. The obtained results are compared to performance indicators such R2, MAE, MSE and MAPE and the outcome of this undertaking is that the model PCA-RBF provides minor errors in forecasting. 

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%.

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

2021 ◽  
pp. 036119812110366
Author(s):  
Yi Li ◽  
Weifeng Li ◽  
Qing Yu ◽  
Han Yang
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Travel Speed ◽  
Detection Algorithm ◽  
Traffic Volume ◽  
Urban Traffic ◽  
Mitigation Strategies ◽  
Operating Characteristics ◽  
The Road ◽  
Road Segments

Urban traffic congestion is one of the urban diseases that needs to be solved urgently. Research has already found that a few road segments can significantly influence the overall operation of the road network. Traditional congestion mitigation strategies mainly focus on the topological structure and the transport performance of each single key road segment. However, the propagation characteristics of congestion indicate that the interaction between road segments and the correlation between travel speed and traffic volume should also be considered. The definition is proposed for “key road cluster” as a group of road segments with strong correlation and spatial compactness. A methodology is proposed to identify key road clusters in the network and understand the operating characteristics of key road clusters. Considering the correlation between travel speed and traffic volume, a unidirectional-weighted correlation network is constructed. The community detection algorithm is applied to partition road segments into key road clusters. Three indexes are used to evaluate and describe the characteristic of these road clusters, including sensitivity, importance, and IS. A case study is carried out using taxi GPS data of Shanghai, China, from May 1 to 17, 2019. A total of 44 key road clusters are identified in the road network. According to their spatial distribution patterns, these key road clusters can be classified into three types—along with network skeletons, around transportation hubs, and near bridges. The methodology unveils the mechanism of congestion formation and propagation, which can offer significant support for traffic management.

scholarly journals Geometric Design of Highways for Accommodation of More Traffic Volume with Increased Design Speed

2018 ◽  
Vol 7 (3.12) ◽  
pp. 137
Author(s):  
S Srikiran ◽  
S Deepak Kumar ◽  
C Venkatasubramanian ◽  
D Muthu ◽  
S Suriyanarayanan
Keyword(s):  
Road Network ◽  
Critical Factor ◽  
Smooth Curve ◽  
Road Transport ◽  
Traffic Volume ◽  
Geometric Design ◽  
Highway Projects ◽  
The Road ◽  
The Government ◽  
Design Speed

Road transport plays an important role in India’s economy. It enables the country’s transportation sector to contribute 6.1% towards India’s GDP. The road network in our country is considered as a critical factor to the country’s development, social integration and security needs of the country. The Government of India has promoted foreign investments in highway projects to bring out high standards and quality. India’s road network carries over 65% of freight and 85% passenger traffic. The traffic volume carried by the national highways almost exceeds the designed traffic volume, and hence the desired speed cannot be achieved. Thus, widening of highways becomes necessary. The population growth is also to be considered and hence provision for future widening is to be provided. Our paper deal with the geometric design for widening of NH-9 is carried out using MX-Bentley software as per IRC specifications. This design includes horizontal and vertical profiling throughout the stretch of the road, according to the existing topographic data. The radius of the curve has been increased to make a smooth curve. Also, the vertical profile has been designed based on the allowable gradient and sight distances. From this, accommodation of more traffic volume and increment of design speed seems to be possible.

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 Analysis of the bus traffic volume on highest classes roads

2018 ◽  
Vol 2018 (7) ◽  
pp. 10-21
Author(s):  
Malwina Spławińska
Keyword(s):  
Estimation Error ◽  
Direct Calculation ◽  
Traffic Volume ◽  
Present Approach ◽  
Road Infrastructure ◽  
Reliable Estimation ◽  
The Road ◽  
Volume Variation ◽  
Traffic Volumes ◽  
Favorable Period

he paper presents the results of analyzes concerning the variation in daily traffic volumes of buses during the year. Based on them, typical groups of seasonal and weekly variation of buses were identified, along with the way in which they were assigned to a particular section of A-class or S-class roads. For the homogeneous traffic groups obtained in this way, representative traffic volume variation profiles were determined enabling direct calculation of volumes from daily measurements into AADT buses, which is a departure from the present approach (profiles determined for all vehicles). Additionally, the most favorable period for conducting measurements at random, that allows for a reliable estimation of AADT (the smallest AADT estimation error and lowest traffic variation), was determined. The results obtained can help to better estimate the traffic volume of buses and thus better design the road infrastructure.

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 Method for Obtaining Better Traffic Survey Data

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 833
Author(s):  
Mi-Seon Kang ◽  
Pyong-Kun Kim ◽  
Kil-Taek Lim ◽  
You-Ze Cho
Keyword(s):  
Deep Learning ◽  
Road Traffic ◽  
Traffic Volume ◽  
Previous Method ◽  
Specific Point ◽  
Data Set ◽  
Probability Of Error ◽  
The Road ◽  
On The Road ◽  
Efficient Verification

Road traffic surveys determine the number and type of vehicles passing by a specific point over a certain period of time. The manual estimation of the number and type of vehicles from images captured by a camera is the most commonly used method. However, this method has the disadvantage of requiring high amounts of manpower and cost. Recently, methods of automating traffic volume surveys using sensors or deep learning have been widely attempted, but there is the disadvantage that a person must finally manually verify the data in order to ensure that they are reliable. In order to address these shortcomings, we propose a method for efficiently conducting road traffic volume surveys and obtaining highly reliable data. The proposed method detects vehicles on the road from CCTV (Closed-circuit television) images and classifies vehicle types using deep learning or a similar method. After that, it automatically informs the user of candidates with a high probability of error and provides a method for efficient verification. The performance of the proposed method was tested using a data set collected by an actual road traffic survey company. As a result, we proved that our method shows better accuracy than the previous method. The proposed method can reduce the labor and cost in road traffic volume surveys, and increase the reliability of the data due to more accurate results.

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 Managing Traffic Data through Clustering and Radial Basis Functions

2021 ◽  
Vol 13 (5) ◽  
pp. 2846
Author(s):  
Heber Hernández ◽  
Elisabete Alberdi ◽  
Heriberto Pérez-Acebo ◽  
Irantzu Álvarez ◽  
María José García ◽  
...  
Keyword(s):  
Radial Basis Functions ◽  
Road Network ◽  
Traffic Volume ◽  
Basis Functions ◽  
Pavement Management ◽  
Volume Data ◽  
Linear Type ◽  
The Real ◽  
The Road ◽  
Radial Basis

Due to the importance of road transport an adequate identification of the various road network levels is necessary for an efficient and sustainable management of the road infrastructure. Additionally, traffic values are key data for any pavement management system. In this work traffic volume data of 2019 in the Basque Autonomous Community (Spain) were analyzed and modeled. Having a multidimensional sample, the average annual daily traffic (AADT) was considered as the main variable of interest, which is used in many areas of the road network management. First, an exploratory analysis was performed, from which descriptive statistical information was obtained continuing with the clustering by various variables in order to standardize its behavior by translation. In a second stage, the variable of interest was estimated in the entire road network of the studied country using linear-based radial basis functions (RBFs). The estimated model was compared with the sample statistically, evaluating the estimation using cross-validation and highest-traffic sectors are defined. From the analysis, it was observed that the clustering analysis is useful for identifying the real importance of each road segment, as a function of the real traffic volume and not based on other criteria. It was also observed that interpolation methods based on linear-type radial basis functions (RBF) can be used as a preliminary method to estimate the AADT.

scholarly journals Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Francesco Aletta ◽  
Stefano Brinchi ◽  
Stefano Carrese ◽  
Andrea Gemma ◽  
Claudia Guattari ◽  
...  
Keyword(s):  
Road Network ◽  
Simulation Analysis ◽  
Noise Pollution ◽  
Urban Traffic ◽  
Noise Emission ◽  
The Road ◽  
Traffic Volumes ◽  
Containment Measures ◽  
On The Road ◽  
The Impact

AbstractThis study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a noise emission assessment conducted using the CNOSSOS-EU method, and an overall noise emissions reduction on the entire road network was found, even if its extent varied between road types.

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