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 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. 

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 Urban Arterial Road Optimization and Design Combined with HOV Carpooling under Connected Vehicle Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Traffic Volume ◽  
Road Segment ◽  
Connected Vehicle ◽  
Traffic Data ◽  
Average Speed ◽  
The Road ◽  
Arterial Road ◽  
Urban Arterial

The HOV carpooling lane offers a feasible approach to alleviate traffic congestion. The connected vehicle environment is able to provide accurate traffic data, which could optimize the design of HOV carpooling schemes. In this paper, significant tidal traffic flow phenomenon with severe traffic congestion was identified on North Beijing road (bidirectional four-lane) and South Huaihai road (bidirectional six-lane) in Huai’an, Jiangsu Province. The historical traffic data of the road segments were collected through the connected vehicle environment facilities. The purpose of this study is to investigate the effect of adopting two HOV schemes (regular HOV scheme and reversible HOV carpooling scheme) on the urban arterial road under connected vehicle environment. VISSIM was used to simulate the proposed two HOV carpooling schemes at the mentioned road segment. The simulation results showed that the reversible HOV carpooling scheme could not only mitigate the traffic congestion caused by traffic tidal phenomenon but also improve the average speed and traffic volume of the urban arterial road segment, while the regular HOV scheme may exert a negative impact on the average speed and traffic volume on the urban arterial road segment.

scholarly journals KAJIAN TUNDAAN LALU LINTAS PADA SIMPANG BERSINYAL (Studi Kasus: Simpang Jl. Brigjen Sudiarto - Jl. Majapahit - Jl. Fatmawati Kota Semarang)

2020 ◽  
Vol 25 (1) ◽  
pp. 32
Author(s):  
Jayanti Rizqi Novianka P ◽  
Khrisna Dwi Hidayati ◽  
Supriyadi Supriyadi ◽  
Junaidi Junaidi
Keyword(s):  
Road Traffic ◽  
Secondary Data ◽  
Service Level ◽  
Traffic Volume ◽  
Degree Of Saturation ◽  
Traffic Data ◽  
Data Traffic ◽  
The Road ◽  
Geometric Conditions ◽  
Vehicle Data

Traffic volume in Semarang City has increased every year due to the increasing number of vehicles. Congestion that occurs at the T-junction intersection Jl. Brigjen Sudiarto - Jl. Majapahit is one of the impacts of high traffic growth and the traffic system is not functioning properly. By considering the geometric conditions of the road, traffic volume, side obstacles and the intersection environment which is a commercial area, it is necessary to analyze the cause of the congestion at the intersection. The research conducted was to conduct a field survey to obtain primary and secondary data which are then processed using intersection management. Planning uses the 1997 Indonesian Road Capacity Manual (MKJI) and uses the Excel 2013 program to process traffic data. Traffic data is obtained from recording the number of vehicles in the field for 3 days (April 29, 01 and May 4, 2019) during peak hours and presented in the form of a vehicle data table, then the behavior of the intersection can be analyzed. From the analysis results obtained value of the degree of saturation (DS) at the intersection of Jl. Brigjen Sudiarto - Jl. Majapahit 0.991. This value has exceeded the required value by the 1997 MKJI, DS ≤ 0.85. The analysis shows that the average traffic delay is 141,320 sec / pcu, so this intersection has a Service Level (LOS) F (> 60).

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 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 Improvement of traffic performance at intersections in Karbala city

2018 ◽  
Vol 162 ◽  
pp. 01032
Author(s):  
Gandhi Sofia ◽  
Abdulhaq Al-Haddad ◽  
Israa Saeed Al-Haydari
Keyword(s):  
Road Network ◽  
Video Recording ◽  
Signalized Intersections ◽  
The Other ◽  
Traffic Data ◽  
Recording Technique ◽  
The Road ◽  
Traffic Performance ◽  
Southern Side ◽  
Pavement Marking

This study deals with the evaluation of traffic performance at the road network around the old city of Karbala from the southern side, at Al-Tarbia Street and Fatima Al-Zahraa Street, through the evaluation of intersections performance. This is followed by suggestions of some improvement proposals, which vary from changing timing plan, geometric improvement, to change intersection type completely. The study area composed of seven intersections, three intersections are four legs signalized, and the other four are roundabouts. The video recording technique is used to collect the traffic data for 27 approaches. These data are abstracted from video films using EVENT program, and processed by prepared EXCEL sheets. While, the spot speed data for each entire link in the network are collected using pavement marking method. SYNCHRO software was used for evaluation and analysis of signalized intersections, suggestion of best timing plan, and coordination. SIDRA INTERSECTION software was used for evaluation and analysis of both signalized intersections and roundabouts. The best proposal was also evaluated for the target year.

Study on City Road Network Reserve Capacity under Ice and Snow Condition

2011 ◽  
Vol 97-98 ◽  
pp. 440-444
Author(s):  
Yan Li Ma ◽  
Li Fei Han ◽  
Yu Long Pei
Keyword(s):  
Road Network ◽  
Programming Model ◽  
User Equilibrium ◽  
Level Of Service ◽  
Reserve Capacity ◽  
Travel Time Reliability ◽  
The Road ◽  
Snow Condition ◽  
On The Road ◽  
Set Up

To study the reserve capacity of city road network under ice and snow condition，the upper programming model was build on the basis of travelers’ demands on level of service, which was incarnated on capacity of links, and travel time reliability, while user equilibrium (UE) was set up in the lower programming model. Then, sensitivity analysis was applied to solve the bi-level programming model under ice and snow condition. At last, one simulation network example was given to demonstrate the practicality of the given model, and the result showed that the ice and snow condition and the travelers’ demands on level of service had great impact on the road network reserve capacity. The methodology is useful and applicable to evaluate road network under ice and snow condition and lays the foundation for capacity reliability.

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.

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