scholarly journals Analysis of congestion cost at signalized intersection using Vissim 9 (Case study at Demak Ijo Intersection, Sleman)

2018 ◽  
Vol 181 ◽  
pp. 06001
Author(s):  
Noor Mahmudah ◽  
Rizkie Akbar ◽  
Muchlisin
Keyword(s):  
Traffic Congestion ◽  
Traffic Volume ◽  
Signalized Intersection ◽  
Average Delay ◽  
Traffic Condition ◽  
The Road ◽  
Congestion Cost ◽  
Road Capacity ◽  
High Traffic Volume

Due to imbalance of road capacity and traffic volume, so traffic congestion will be occurred either along the road and intersection. Demak Ijo intersection is one of signalized junction located in the western part of Yogyakarta with high traffic volume so traffic congestion is frequently occurred. The aim of this study is to analyze the performance of existing traffic condition and then estimate the congestion cost at signalized intersection by modeling (simulation) using Vissim 9. The analysis results show that existing traffic condition is in very bad condition (level F), average delay of 80 seconds, average queue length of 48.73 meters with congestion cost is about Rp. 2,830,336 per hour.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 (10) ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

scholarly journals Design of Traffic Volume Forecasting based on Genetic Algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 4264-4268
Keyword(s):  
Genetic Algorithm ◽  
Traffic Volume ◽  
Weighted Regression ◽  
Optimal Prediction ◽  
Financial Loss ◽  
Locally Weighted Regression ◽  
Traffic Condition ◽  
The Road ◽  
Road Capacity ◽  
Big City

The traffic flow forecasting is very important aspect of traffic predication and congestion. It alleviates the increasing congestion problems that cause drivers to shorten the travelling duration required and prevent financial loss. Increasing congestion is one of the severe problems in big city areas. The aspect of traffic prediction is that it may give drivers to plan their traveling time and traveling path, based on the predictive data information they have. The aim is to design locally weighted regression model by proposing a method, which is a combination of Genetic algorithm and locally weighted regression method. This model helps to achieve optimal prediction performance under various traffic condition parameters. The time series model is used to predict the forecast value for the accurate assumption of the traffic volume generation according to the road capacity. The GA model results show these kind of predictions always be useful for highway road authorities.

PENENTUAN BIAYA KEMACETAN LALU LINTAS PADA SIMPANG BERSINYAL SGM YOGYAKARTA

2019 ◽  
Vol 19 (2) ◽  
pp. 77-86
Author(s):  
Noor Mahmudah ◽  
Evie Andriani
Keyword(s):  
Traffic Congestion ◽  
Performance Indicator ◽  
Service Level ◽  
Traffic Volume ◽  
Signalized Intersection ◽  
Level Of Service ◽  
Vehicle Speed ◽  
Geometric Conditions ◽  
Congestion Costs ◽  
High Traffic Volume

Abstract The SGM signalized intersection in the city of Yogyakarta is a junction with high traffic volume and has the potential to cause traffic congestion. This study aims to analyze the performance of this intersections and es-timate costs due to congestion that occurs. This study was performed by conducting a field survey to determine the geometric conditions, traffic volume, cycle time, and vehicle speed. The data obtained are then analyzed and modeled using Vissim 10 software. The intersection performance indicator considered is the queue length and level of service. The calculation of congestion costs using indicators of vehicle numbers, vehicle operating costs, spot speed, desired speed, travel time value, and queue time. The results of the observation showed that the performance of the SGM signalized intersection in Yogyakarta was very poor, with the level of service F at peak hours, so that repairs need to be done. In this study, the recommended solution consists of 2 alternatives, namely alternative 1, by changing the phase, and alternative 2, by widening the road. The results of the analysis show that alternative 2 provides the best solution to improve performance and reduce congestion costs at the intersection. Keywords: signal intersection, congestion costs, service level, intersection performance, queue  Abstrak Simpang bersinyal SGM di Kota Yogyakarta merupakan suatu simpang dengan volume lalu lintas tinggi dan berpotensi menimbulkan kemacetan lalu lintas. Penelitian ini bertujuan untuk menganalisis kinerja simpang tersebut dan mengestimasi biaya akibat kemacetan yang terjadi. Studi ini dilakukan dengan melakukan survei lapangan untuk mengetahui kondisi geometrik, volume lalu lintas, waktu siklus, dan kecepatan kendaraan. Data yang diperoleh selanjutnya dianalisis dan dimodelkan menggunakan perangkat lunak Vissim 10. Indikator kinerja simpang yang dipertimbangkan adalah antrian dan tingkat pelayanan. Perhitungan biaya kemacetan menggunakan indikator jumlah kendaraan, biaya operasional kendaraan, kecepatan sesaat, kecepatan ideal, nilai waktu perjalanan, dan waktu antrian. Hasil pengamatan menunjukkan bahwa kinerja simpang bersinyal SGM Yogyakarta sangat buruk, dengan tingkat pelayanan F pada jam puncak, sehingga perlu dilakukan perbaikan. Pada kajian ini, solusi yang direkomendasikan terdiri atas 2 alternatif, yaitu alternatif 1, dengan mengubah fase, dan alternatif 2, dengan melakukan pelebaran jalan. Hasil analisis menunjukkan bahwa alter-natif 2 memberikan solusi terbaik untuk meningkatkan kinerja dan mengurangi biaya kemacetan pada simpang. Kata-kata kunci: simpang bersinyal, biaya kemacetan, tingkat pelayanan, kinerja simpang, antrian

EVALUASI KINERJA JALAN NASIONAL TERHADAP KARAKTERISTIK LALU LINTAS PADA RUAS JALAN NASIONAL KOTA PALEMBANG

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Sartika Nisumanti ◽  
Evina Krisna
Keyword(s):  
Traffic Congestion ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Heavy Traffic ◽  
Service Level ◽  
Traffic Volume ◽  
The Road ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

<p><em>The roads</em><em> </em><em>transportation is an </em><em>important infrastructure as one of the land transportation infrastructures for the movement of social activities and to support economic development, specifically in Palembang City. </em><em>The population growth of Palembang City has resulted in an increase in the number of vehicles and highway users. As a result</em><em>, transportation activities in Palembang, especially at Parameswara </em><em>roads are increasing. </em><em>The impact of this, there will be heavy traffic volume, resulting in conflicts on the road, which lead to traffic accidents. </em><em>Therefore</em><em>, there will be congestion and a decrease in the performance of the road speed.</em></p><p><em>The research is conducted at Parameswara Road in Palembang that visually diminished the ability to accommodate the road traffic volume per day, accordingly the effect of traffic that occurs due to the lack of road capacity as the sequence of large volume traffic. The purpose of this study is to determine the capacity and level of road services to carried out the performance value on this road. The method used in the analysis is the Greenshield model, Greenberg, and Underwood. This study explains the maximum volume at peak hour that develop on Monday is between 1561 smp/hour and 1549 smp/hour. Whereas the lowest is around 1225 smp/hour and 1008 smp/hour that occurs on Sunday. Therefore, the analysis of service level on the research years at Parameswara Road depicts the saturated traffic conditions and low starting speed with D service index category and service level analysis at 10 years of planning time projections, the lpda result is from 2022 to 2026, The Parameswara road conditions at E and F service index categories are the traffic jam circumstances and slight speed. Hence, it necessitates constructing a non-plot way at Parameswara Road intersection to tackle this traffic congestion.</em></p><p><strong><em>Keywords</em></strong><em>:<strong> </strong></em><em>Greenshield, Greenberg, Underwood</em>, <em>Road Capacity</em><em>.</em></p>

scholarly journals The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ji Eun Park ◽  
Wanhee Byun ◽  
Youngchan Kim ◽  
Hyeonjun Ahn ◽  
Doh Kyoum Shin
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Traffic Volume ◽  
Transport Systems ◽  
Automated Vehicles ◽  
Average Delay ◽  
The Road ◽  
Capacity Increase ◽  
Road Capacity ◽  
The Impact

Automated vehicles (AVs) are believed to have great potential to improve the traffic capacity and efficiency of the current transport systems. Despite positive findings of the impact of AVs on traffic flow and potential road capacity increase for highways, few studies have been performed regarding the impact of AVs on urban roads. Moreover, studies considering traffic volume increase with a mixture of AVs and human-driven vehicles (HDVs) have rarely been conducted. Therefore, this study investigated the impact of gradual increments of AV penetration and traffic volume on urban roads. The study adopted a microsimulation approach using VISSIM with a Wiedmann 74 model for car-following behavior. Parameters for AVs were set at the SAE level 4 of automation. A real road network was chosen for the simulation having 13 intersections in a total distance of 4.5 km. The road network had various numbers of lanes from a single lane to five lanes in one direction. The network consists of a main arterial road and a parallel road serving nearby commercial and residential blocks. In total, 36 scenarios were investigated by a combination of AV penetrations and an increase in traffic volumes. The study found that, as AV penetration increased, traffic flow also improved, with a reduction of the average delay time of up to 31%. Also, as expected, links with three or four lanes had a more significant impact on the delay. In terms of road capacity increase, when the penetration of AVs was saturated at 100%, the road network could accommodate 40% more traffic.

scholarly journals Implementation of mamdani fuzzy implication in predicting traffic volume and duration of green lights on an intersection

2021 ◽  
Vol 2106 (1) ◽  
pp. 012020
Author(s):  
A Suprayogi ◽  
I Rosyida ◽  
D T Wiyanti ◽  
M.F Safaatullah
Keyword(s):  
Traffic Congestion ◽  
Green Light ◽  
Traffic Volume ◽  
The Road ◽  
Fuzzy Implications ◽  
The North ◽  
Fuzzy Implication ◽  
North Direction ◽  
Input Variables

Abstract Traffic congestion at an intersection could be caused by the volume of vehicles that exceed the road capacity, the duration of the green light that is fixed, and so on. The volume of vehicles per unit time at an intersection cannot be known with certainty. Therefore, we need to predict it using fuzzy logic, specifically the Mamdani fuzzy implications. The problems are as follows: how are the input variables to be analyzed with Mamdani fuzzy implications; how are the prediction results, and how is the accuracy based on MAPE. The case study was conducted at two intersections in Semarang City. The tests were carried out using Matlab and manual calculations. The input variables in traffic volume prediction are MC, LV, HV, and time. While the input in the prediction of the duration of the green light is the number of motorcycles and cars. Based on the predictions, there are 74 vehicles (per hour) at the Kaligarang intersection in the east-north direction, there are 111 vehicles at the Kariadi intersection in the south-north direction, and the predictions are good and very accurate (measured by MAPE). The duration of the green light at the Kaligarang intersection on the west approach is 86 seconds, the duration on the Kariadi intersection on the north approach is 81 seconds, and the predictions are good and very accurate.

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 A Comparison of Traffic Flow Performance of Roundabouts and Signalized Intersections: A Case Study in Nigde

2020 ◽  
Vol 14 (1) ◽  
pp. 120-132
Author(s):  
Hatice G. Demir ◽  
Yusuf K. Demir
Keyword(s):  
Traffic Flow ◽  
Signalized Intersections ◽  
Urban Traffic ◽  
Signalized Intersection ◽  
Negative Effects ◽  
Average Delay ◽  
Current State ◽  
Intersection Analysis ◽  
High Traffic Volume

Background: Intersections affect the safety and capacity of urban traffic. Therefore, the design and selection of the type of intersection need to be made very carefully. According to the demand level, a different intersection can be designed. Signalized intersections are one of the intersection types in which the sequence and duration of the flow at the intersection are provided by the lights. Generally, this type of intersection is used on roads with high traffic volume. Modern roundabouts are one of the types of circular intersections that provide advantages over other types of intersection in terms of smooth operation and safety. Modern roundabouts exist in several types today worldwide. In practice, the distinction about the kinds of roundabouts would not be fully clarified; as a result, queuing and delay can be seen as negative effects. Methods: In this study, to make a distinction and clarify the kinds of roundabouts, first, the roundabouts types are introduced according to geometric and operational aspects. A signalized intersection, where a circular island is placed and also signalized, was investigated in terms of capacity, delay, and emissions located in Niğde. The traffic flow performance of the current state (nested signalized roundabout) was calculated with HCM Method (for signalized intersection) using SIDRA and compared with roundabout solutions of the intersection with HCM6 (for roundabout) method using SIDRA Intersection analysis software. Results: From the results of the intersection capacity analysis study based on HCM6, it was seen that the application of a roundabout scenario (intersection considered as a modern roundabout) showed higher performance at the intersections than the intersection having a secondary signal. Capacity increased to 67.8%, the average delay decreased to 72.8% and 95th percentile queue dropped to 82.2%. Conclusion: Roundabout controlling instead of a nested signal system can be an example of the increase in the performance of traffic flow. This highlights the importance of choosing the appropriate roundabout design.

scholarly journals PENGARUH KEMACETAN DI SIMPANG SABILILLAH TERHADAP IMPLEMENTASI CITRA LALU LINTAS DI SIMPANG PROGRESIF

2015 ◽  
Vol 9 (2) ◽  
pp. 114
Author(s):  
Supiyono, Dwi Ratnaningsih, Rudy Ariyanto
Keyword(s):  
Road Traffic ◽  
Flame Length ◽  
Traffic Volume ◽  
Signalized Intersections ◽  
Degree Of Saturation ◽  
The Road ◽  
Road Section ◽  
On The Road ◽  
High Traffic Volume

Progress of a country in line with the progress of traffic (transport). Fluency in traffic is determined by the smoothness of traffic on the road. Problems often arise on the highway is congestion at the intersection. Neither was signalized intersections and signalized intersections. Problems at the intersection is less accuracy green flame at the intersection with the number of vehicles in a segment. A road with high traffic volume vehicle green flame low while other road traffic volume small green flame length. So in a long queue roads, while other roads are deserted while still green flame.     This study aims to minimize the occurrence of conflic at the intersection of green flame. Research will make iterations in the intersection, where a road section which will be nominated densely green flame, the flame of the green according to the volume of traffic on these roads. Each road will be a green flame in accordance with the volume of traffic, without having to change any program there is a change in traffic volume.The degree of saturation of the calculation obtained by ....Keywords: roads, hight traffic, progressive intersection, degree saturation

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