scholarly journals Evaluation of conditions in the traffic flow on the crossroad of the main road M4 and Milutin Milankovic Boulevard in Banja Luka

2020 ◽  
Vol 66 (1) ◽  
pp. 31-46
Author(s):  
Radenka Bjelošević ◽  
Dragan Gataric ◽  
Aleksandar Đukić ◽  
Milan Sandić ◽  
Mladen Pajić ◽  
...  
Keyword(s):  
Program Analysis ◽  
Traffic Congestion ◽  
Service Level ◽  
Traffic Light ◽  
Environmental Aspect ◽  
Service Levels ◽  
Traffic Conditions ◽  
Road Users ◽  
Banja Luka ◽  
Positive Effect

The design and construction of roundabouts, as a solution that will replace the classic intersection, has great application in our area, because it has proven to be the best traffic solution. The aim of this paper is to determine whether the roundabout will provide better traffic conditions than a traffic light. Baseline data were collected by counting traffic at the intersection in question and then processed in the SIDRA INTERSECTION software program. The program analysis covers the following criteria: service level, time losses, costs and emissions. Reducing speed has increased the safety of all road users, which in addition to the environmental aspect is the most important positive effect. With traffic congestion, traffic intensity and service levels have been raised. The construction of the roundabout would continue the trend of construction of roundabouts in Banja Luka, which, in addition to traffic amenities, gives this city an aesthetically pleasing new dimension.

scholarly journals Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878148 ◽  
Author(s):  
Wan-Xiang Wang ◽  
Rui-Jun Guo ◽  
Jing Yu
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Travel Speed ◽  
Service Level ◽  
Evaluation Indexes ◽  
Traffic Conditions ◽  
Calculation Results ◽  
Congestion Index ◽  
Operation Status ◽  
Road Traffic Congestion

Traffic congestion index reflects the state of traffic flow. The detection and analysis on traffic congestion index can be used to estimate the operation status of roads, to plan and organize road traffic for traffic managers, and to make the reasonable decisions of travelers to travel. The traffic conditions of several evaluation indexes were analyzed. Based on the theory of fuzzy mathematics, some membership functions of the evaluating indexes were designed. Three calculation methods of traffic congestion index were proposed. Their calculation results were compared mutually. The conclusion revealed that using saturation calculated by the corresponding service level of traffic congestion index not well reflect the traffic situation, what’s more, travel speed is used to calculate the congestion index of the first method. Using comprehensive parameters can calculate the congestion index of the third method. Both them are roughly similar and in line with the actual traffic phenomenon.

scholarly journals KINERJA MANAJEMEN LALU LINTAS BARU DI KAWASAN LOSARI KOTA MAKASSAR

2020 ◽  
Vol 20 (1) ◽  
pp. 37-46
Author(s):  
Qadriathi Dg Bau ◽  
Ichsan Ali ◽  
Nurul Tri Ayu Reski
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Negative Impact ◽  
Service Level ◽  
Urban Traffic ◽  
Management Service ◽  
Traffic Conditions ◽  
Management Scheme ◽  
The Government ◽  
Main Thing

Abstract The problem of urban traffic congestion is the main thing that always gets attention because congestion has a negative impact on the economy, the environment, and vehicle drivers. Makassar City is one of the cities experiencing traffic congestion on several existing roads, including roads in the Losari Area. Various efforts have been made by the government to reduce traffic congestion in the area, but optimum results have not been obtained. In 2019, a change in the direction of traffic movement in the Losari area was done by implementing a traffic management called the New Traffic Management. Through this new scheme, changes are made in the direction of movement of traffic on Jalan Penghibur, Jalan Haji Bau, and Jalan Lamadukelleng. This study aims to analyze the performance of the New Traffic Management towards improving traffic conditions in the Losari Area. The results of this study indicate that the application of New Traffic Management in the Losari Area has succeeded in improving traffic conditions in the area. Through this new traffic management scheme, the three road sections observed have service level A. Keywords: traffic congestion, traffic management, service level  Abstrak Masalah kemacetan lalu lintas di perkotaan merupakan hal utama yang selalu mendapat perhatian karena kemacetan menimbulkan dampak negatif terhadap ekonomi, lingkungan, dan pengemudi kendaraan. Kota Makassar merupakan salah satu kota yang mengalami kemacetan lalu lintas di beberapa ruas jalan yang ada, termasuk jalan-jalan di kawasan Losari. Berbagai upaya telah dilakukan oleh pemerintah untuk mengurangi kemacetan lalu lintas di kawasan tersebut, tetapi belum diperoleh hasil yang optimum. Pada tahun 2019, dilakukan perubahan arah pergerakan lalu lintas di kawasan Losari dengan menerapkan suatu manajemen lalu lintas yang dinamakan Manajemen Lalu Lintas Baru atau New Traffic Management. Melalui skema yang baru ini dilakukan perubahan arah pergerakan lalu lintas di Jalan Penghibur, Jalan Haji Bau, dan Jalan Lamadu-kelleng. Penelitian ini bertujuan menganalisis kinerja Manajemen Lalu Lintas Baru ini terhadap perbaikan kondisi lalu lintas di kawasan Losari. Hasil studi ini menunjukkan bahwa penerapan Manajemen Lalu Lintas Baru di kawasan Losari berhasil memperbaiki kondisi lalu lintas di kawasan tersebut. Melalui skema manajemen lalu lintas yang baru ini, ketiga ruas jalan yang diamati mempunyai tingkat pelayanan A. Kata-kata kunci: kemacetan lalu lintas, manajemen lalu lintas, tingkat pelayanan

scholarly journals Railroad traffic light sensors to anticipate jams at junctions based on ATMega8

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 144-156
Author(s):  
Amir Mahmud Husein ◽  
Alfredy Willim ◽  
Yandi Tumbur Nainggolan ◽  
Antonius Moses Simanggungsong ◽  
Prayoga Banjarnahor
Keyword(s):  
Traffic Congestion ◽  
Light Condition ◽  
Traffic Light ◽  
Infrared Sensors ◽  
Low Speed ◽  
The Road ◽  
Traffic Jams ◽  
Road Users ◽  
Railroad Crossings ◽  
On The Road

Traffic congestion is a problem that has long occurred in Indonesia, especially in big cities. Traffic congestion that occurs can cause various losses, one of which is time loss because it can only run at a very low speed. Then it will create a waste of energy, because going at low speed will require more fuel. Congestion is also able to increase the saturation of other road users, not only that traffic jams also have a bad impact on nature which causes air pollution. And there are many more impacts of traffic jams that can make traveling very uncomfortable. One of the locations of traffic jams often occurs on roads located around railroad crossings. Therefore, In this study, it is proposed to make a traffic light sensor adjacent to the train track to anticipate long traffic jams based on atmega8 and infrared sensors, with the stages of collecting data, recording transportation activities at the location of the jam, then designing a sensor device. The system built is to read the volume of vehicles on the road and prioritize the road with the highest volume of vehicles to get the green traffic light condition. Based on the results of the manufacture of infrared sensors and atmega8 can be tested to reduce the level of congestion at crossroads adjacent to the railroad.

scholarly journals Traffic Conditions and Route Choice of Road Users Between Two Roundabouts

2020 ◽  
Vol 15 (3) ◽  
pp. 446-450
Author(s):  
Lin Zarni Win ◽  
Kyaing ◽  
Ko Ko Lwin ◽  
Yoshihide Sekimoto ◽  
◽  
...  
Keyword(s):  
Government Policy ◽  
Traffic Congestion ◽  
Route Choice ◽  
Policy Makers ◽  
The Road ◽  
Traffic Conditions ◽  
Road Users ◽  
Interview Methods ◽  
The Government ◽  
Almost All

This study aims to present the traffic conditions of one of the most congested areas in Yangon as well as the route choice behaviors of the road users in that area. It analyzes drivers’ route choice behaviors and traffic congestion according to road segments. Manual traffic counting and roadside interview methods were used in this survey. The data gathered were used in finding routes alternative to the U Htaung Bo road, which is extremely congested almost all the time. With regard to the report, it will be helpful to identify the scale of the problem that is caused by traffic congestion and to increase awareness of this issue, including amongst the government, policy makers, traffic engineers, and road users.

scholarly journals Analisa Faktor Penyebab Kemacetan Lalu Lintas di Jalan Kolektor Studi Kasus Jalan Gajah Mada Gunung Pangilun Kota Padang

2020 ◽  
pp. 37-46
Author(s):  
Maiyozzi Chairi ◽  
Jihan Melasari ◽  
Rian Afandi
Keyword(s):  
Traffic Congestion ◽  
Field Survey ◽  
Service Level ◽  
Traffic Volume ◽  
Urban Road ◽  
The Road ◽  
Traffic Conditions ◽  
Road Capacity ◽  
The Will ◽  
Quantitative Descriptive

Congestion is a situation or state of stalling or even stopping traffic caused by a large number of vehicles exceeding road capacity. Traffic congestion is a big problem that is often faced in Indonesia, especially in big cities. This study aims to analyze the factors that cause congestion in Jalan Gajah Mada Gunung Pangilun, Padang City. This research is quantitative descriptive by calculating traffic volume and the causes of traffic jams. And following the Urban Road Capacity Guidelines (PKJP, 2014). Based on the results of the field survey in Road Capacity (C) 3340 pcu / hour, Total Traffic Volume (Q) 1446 pcu / hour and Saturation Degree (DJ) 0.43 pcu / hour, so that the Road Service Level (LOS) type can be obtained B in the sense that traffic flow is stable, the speed starts to be influenced by traffic conditions, but can still be chosen according to the will of the driver. The highest level of congestion occurs on Wednesday, December 11, 2019 (from the day surveyed).

scholarly journals Analisis Kinerja Bundaran Duhung Di Kota Kuala Kurun Kabupaten Gunung Mas

2021 ◽  
Vol 9 (2) ◽  
pp. 78-83
Author(s):  
Andika Andika ◽  
Murniati Murniati ◽  
Laufried Laufried
Keyword(s):  
Service Level ◽  
Traffic Volume ◽  
Research Results ◽  
Traffic Conditions ◽  
Class A ◽  
Road Users ◽  
Current Value ◽  
Traffic Delay ◽  
Saturation Rate ◽  
Maximum Limit

Changes in the volume of traffic passing through duhung roundabout have an impact on traffic conditions. This study aims to find out traffic volume, roundabout performance and road geometric shapes. The method used is MKJI 1997. Hasil analysis shows that the interlaces Bundaran Duhung in 2020 has the largest interlacess current value of 815 junior/hour on the AB interlace (Ahmad YaniStreet – Tjilik RiwutStreet), the largest capacity on the AB braid (Ahmad Yani Street -Jalan Tjilik Riwut),which is6803 junior/hour, with the highest saturation rate of cd braids (Jalan Kopri-Jalan Tjilik Riwut) which is0.274,the average roundabout traffic delay(DT R) is 2.07 det / smp, the average roundabout delay (DR) is 6.07 det / smp and includes the characteristics of service level in the current condition is class A. Geometric Duhung Roundabout has the largest value of -5,800%, on arm D (Jalan Tjilik Riwut), on arm A (Ahmad Yani Street) which is 2.824%, on arm B (Jalan Tjilik Riwut) which is 1.424%, on arm C (Kopri) which is -3.425%, from geometric research results of roundabout on arm D (Jalan Tjilik Riwut) does not meet the maximum limit of 4%, thus reducing the comfort of road users.

Smart Driving System for Improving Traffic Flow

2017 ◽  
Vol 7 (7) ◽  
pp. 236
Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Adaptive Cruise Control ◽  
Human Perception ◽  
Cruise Control ◽  
Driving System ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

The Analysis Of Service Quality Using Importance Performance Analysis For Mrt Jakarta

2020 ◽  
Vol 18 (3) ◽  
pp. 85
Author(s):  
Rina Nur Chasanah ◽  
Andreas Wijaya
Keyword(s):  
Air Pollution ◽  
Performance Analysis ◽  
Service Quality ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Fossil Fuels ◽  
Service Level ◽  
Public Infrastructure ◽  
Five Dimension ◽  
Quality Theory

Public infrastructure and congestion issues become salient problems in Indonesia. According to INRIX Global Traffic Scoreboard (2018): Jakarta was ranked as twelfth worst in the world. Air quality also becoming another issues that derived from traffic congestion causing air pollution. To mitigate this issue, government has been established MRT Jakarta in 2019. This study aims to evaluate and improving service level of Moda Raya Terpadu (MRT) in order to encourage more people using public transportation, moreover altering people using public transportation would reduce the amount of fossil fuels and reducing bad air pollution for a better climate. Methodolgy of the research using service quality theory with five dimension from Parasuraman et. al, and extended in Importance Performance Analysis (IPA) method. Therefore, data was distributed using questionnaire with 18 item measurement and 102 respondents was collected. As a result, tangibility, reliability, and responsiveness dimension had been classified in quadrant one, followed assurance dimension in quadrant two, however empathy dimension had been measured in quadrant four and indicates to be improved.

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

scholarly journals Detecting Different Road Infrastructural Elements Based on the Stochastic Characterization of Speed Patterns

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mario Muñoz-Organero ◽  
Ramona Ruiz-Blázquez
Keyword(s):  
Total Variation ◽  
Traffic Congestion ◽  
Automatic Detection ◽  
Mass Function ◽  
Total Variation Distance ◽  
Statistical Moments ◽  
Probability Mass Function ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Variation Distance

The automatic detection of road related information using data from sensors while driving has many potential applications such as traffic congestion detection or automatic routable map generation. This paper focuses on the automatic detection of road elements based on GPS data from on-vehicle systems. A new algorithm is developed that uses the total variation distance instead of the statistical moments to improve the classification accuracy. The algorithm is validated for detecting traffic lights, roundabouts, and street-crossings in a real scenario and the obtained accuracy (0.75) improves the best results using previous approaches based on statistical moments based features (0.71). Each road element to be detected is characterized as a vector of speeds measured when a driver goes through it. We first eliminate the speed samples in congested traffic conditions which are not comparable with clear traffic conditions and would contaminate the dataset. Then, we calculate the probability mass function for the speed (in 1 m/s intervals) at each point. The total variation distance is then used to find the similarity among different points of interest (which can contain a similar road element or a different one). Finally, a k-NN approach is used for assigning a class to each unlabelled element.

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