scholarly journals Analisis Kinerja Simpang Bersinyal di Simpang Papar Untuk Perencanaan Jalan Tol Kertosono-Kediri

UKaRsT ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 23
Author(s):  
Endro Wibisono
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Traffic Monitoring ◽  
Engineering Management ◽  
Degree Of Saturation ◽  
Toll Road ◽  
Traffic Performance ◽  
Road Planning ◽  
Economic Distribution

The Papar intersection is a very congested route because the location is in the Kertosono-Kediri toll road planning area for the economic distribution of the Western and Southern East Java Provinces. There needs to be a traffic engineering management so that the intersection is not increasingly saturated. As a benchmark is the forecasting of traffic performance carried out for 2 years from 2019 to 2021. The intersection of the Simpang Papar due to the construction of the Kertosono-Kediri toll road will decrease the value of the DS by developing the Kertosono-Kediri toll road so that the DS value is below 1 (one). The lowest 2021 DS is 0.17, while the highest DS is 0.46. Based on the results of forecasting, the intersection of Papar after the construction of the Kertosono - Kediri toll road has increased the volume of traffic along with the growth in vehicle numbers. The lowest 2045 DS year is 0.94, while the highest DS is 2.51. The solution to dealing with traffic congestion in the year 2045 is by traffic monitoring, especially the signal settings and vehicle restrictions. Keywords— traffic performance, degree of saturation, signal intersection, toll planning

scholarly journals Analisis Kinerja Simpang Tak Bersinyal di Simpang Mengkreng Untuk Perencanaan Jalan Tol Kertosono – Kediri

2019 ◽  
Vol 2 (2) ◽  
pp. 51
Author(s):  
Muhammad Shofwan Donny Cahyono ◽  
Adhi Muhtadi ◽  
R Endro Wibisono
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Engineering Management ◽  
Development Plan ◽  
The West ◽  
Toll Road ◽  
Traffic Performance ◽  
Road Development ◽  
Performance Forecasting ◽  
Economic Distribution

The mengkreng intersection is a very congested route because its location is near Nganjuk, Kediri and Jombang Regencies for the economic distribution of the West and East Java Provinces. Traffic engineering management is needed so that the intersection is not increasingly saturated. As a benchmark, traffic performance forecasting is carried out for 3 years from 2019 to 2022. Based on forecasting results, the Mengkreng intersection will decrease its DS value by carrying out the Kertosono - Kediri toll road development plan so that the DS value is below 1 (one). In 2019 the lowest DS was 0.79, while the highest DS was 1.61. While in 2022 the lowest DS is 0.45, while the highest DS is 2.72. The solution to deal with traffic congestion in 2045 is through traffic engineering and vehicle restrictions.

scholarly journals Simulasi Manajemen dan Rekayasa Lalulintas Untuk Meningkatkan Kinerja Simpang Tiga Tak Bersinyal Pada Jalan Jatiraya – Kahuripan Nirwana Kabupaten Sidoarjo (Management and Traffic Engineering Simulation to Improve The Unsignalised Intersection Performance on Jalan Jatiraya – Kahuripan Nirwana Kabupaten Sidoarjo)

2016 ◽  
Vol 1 (01) ◽  
pp. 32
Author(s):  
Kurnia Hadi Putra ◽  
Faisal Rosih Alfanan
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Degree Of Saturation ◽  
Primary Data ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Toll Road ◽  
Commercial Area ◽  
The One

AbstractUnsignalised 3-way intersection at Jati Raya – Kahuripan Nirvana streets is an area with high traffic congestion. It caused by the increasing of vehicle volume at rush hour. In addition, the surrounded area of the intersection is a commercial area with a dense population and the intersection is also the main access to the toll road. To deal with these conditions, management and traffic engineering need to be done. The method of field surveys is conducted to obtain primary data and the existing condition. All the traffic data is obtained from the number of vehicles passing through the intersection for four days (27-30 May 2016). Then, all the data is recapitulated and calculated using the formula of Indonesian Highway Capacity Manual 1997. As the result, it can be concluded that the 3-way intersection at Jati Raya – Kahuripan Nirvana has the degree of saturation (DS) 1.23. This value is far from the one suggested by MKJI 1997 for the unsignalized 3-way intersection, i.e. DS = 0.85. Therefore, management and traffic engineering are conducted to overcome these conditions. The fourth alternative shows the DS 0,51 with Level of Service C.Keywords: Unsignalised Intersection, Degree of Saturation, Management and Traffic Engineering AbstrakSimpang tiga tak bersinyal pada jalan Jati Raya – Kahuripan Nirwana merupakan daerah yang sering mengalami kemacetan. Hal ini disebabkan oleh pertumbuhan lalu lintas yang cukup tinggi, selain itu disekitar simpang merupakan daerah komersil, pemukiman penduduk dan akses menuju jalan tol. Dalam mengatasi permasalahan pada simpang digunakan manajemen dan rekayasa lalu lintas. Metode yang digunakan adalah metode survei lapangan untuk mendapatkan data primer dan kondisi eksisting. Data lalu lintas diperoleh dari jumlah kendaraan yang melintasi simpang selama empat hari (27-30 Mei 2016). Kemudian data tersebut diolah dengan perhitungan Manual Kapasitas Jalan Indonesia (MKJI) 1997. Dari hasil analisis data dapat disimpulkan bahwa simpang jalan Jati Raya – Kahuripan Nirwana memiliki nilai Derajat Kejenuhan (DS) = 1,23 dengan Level Of Service LOS (F) . Nilai itu jauh dari nilai yang disarankan oleh MKJI 1997 untuk simpang tak bersinyal yaitu DS = 0,85. Oleh karena itu dilakukan beberapa alternatif solusi manajemen dan rekayasa lalu lintas. Dalam mengatasi kemacetan diambil alternatif solusi yang menghasilkan derajat kejenuhan (DS) paling kecil dengan nilai = 0,51 dengan Level Of Service LOS (C) yang terjadi pada alternatif empat.Kata kunci: Simpang tak bersinyal, Derajat Kejenuhan, Manajemen rekayasa lalulintas

scholarly journals Traffic congestion analysis using travel time ratio and degree of saturation on road sections in Palembang, Bandung, Yogyakarta, and Surakarta

2018 ◽  
Vol 181 ◽  
pp. 06010
Author(s):  
Budi Hartanto Susilo ◽  
Ivan Imanuel
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Degree Of Saturation ◽  
Time Ratio ◽  
Saturation Velocity ◽  
Road Section ◽  
Traffic Performance ◽  
Survey Results

Traffic performance have been measured based on degree of saturation, velocity, travel time, and delays. However, they weren’t enough to measure the traffic fluctuation that happen on normal days. This study aims to develop some modified analysis about traffic congestion based on the degree of saturation (DS) and travel time ratio (TTR). The travel time ratio is defined as a ratio between the travel time at peak hour and the travel time at off-peak hour in a certain road section. Traffic congestion conditions are classified into 4 categories: Peak-hour Congestion, Lengthy Congestion, Momentary Congestion, and Smooth Traffic. Based on survey results on road sections in Palembang, Bandung, Yogyakarta, and Surakarta, it can be concluded that peak-hour congestion occurs when TTR > 1,40 and DS > 0,75, lengthy congestion occurs when TTR < 1,40 and DS > 0,75, momentary congestion occurs when TTR > 1,40 and DS < 0,75, and smooth traffic when TTR < 1,40 and DS < 0,75.

scholarly journals Prifacounter: The innovation of traffic counter application for android OS

2018 ◽  
Vol 7 (2.29) ◽  
pp. 97
Author(s):  
Prima J. Romadhona ◽  
Faizul Chasanah
Keyword(s):  
Traffic Flow ◽  
Traffic Engineering ◽  
Degree Of Saturation ◽  
Survey Form ◽  
Flow Capacity ◽  
Android Os ◽  
Traffic Performance ◽  
Mode Of Transportation ◽  
And Control ◽  
Traffic Behavior

In civil engineering, particularly in the field of traffic engineering, it was possible to measure traffic performance by way of surveying the traffic flow, velocity, and density. The current traffic survey is commonly conducted by surveyor who manually calculates the movement of mode of transportation using traffic counter and survey form. Such method was definitely way too costly and time consuming in rendering the traffic data. Therefore, this study aims was to create application design products for technology retrieval and vehicle traffic count calculations, as well as traffic behavior analysis. This research was used Research and Development (R & D) method. The data accuracy was maintained through check and control to make sure that the inputted data were precisely the same with the results of the display on the application. This application called PRIFACOUNTER that can be operated personally in android OS hand phone. On the basis of the research, it was revealed that some variables and steps in the application concept were definitely needed to determine traffic behavior consisting of traffic flow, capacity, and degree of saturation. Since anyone can use this application, it will reduce the time in order to analyze the traffic performance.  

scholarly journals The Empirical Study on the Impact of Road Gradient and Truck Composition on the Toll Road Traffic Performance

2018 ◽  
Vol 65 ◽  
pp. 09003
Author(s):  
Nahry ◽  
Noor Syiffa Fadillah
Keyword(s):  
Empirical Study ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Flow Speed ◽  
City Centre ◽  
Toll Road ◽  
Traffic Performance ◽  
Road Gradient ◽  
The Impact

The Jakarta Outer Ring Road (JORR) is a toll road system that circles the outskirts of Jakarta, where the purpose of this road is to reduce congestion on the street network of the city centre of Jakarta. However, the high composition of trucks in JORR resulted in congestion, and moreover it is suspected that the steep gradient of this road has contributed to this situation. This study aims to investigate the impact of road gradient on the trucks and the overall traffic performance from macroscopic view point. This study is the complement to a similar study that has been done in JORR previously, to confirm the result. The previous study was based on the Vissim simulation, while this paper will be entirely focused on an empirical study. Using the data obtained from 24-hour traffic recording on selected JORR sections that represent various gradients, traffic flow models are generated, and the effect of gradient could be assessed. The speed difference between trucks and non-trucks shows 56.2%~127% gap as the result of different gradient occurred. The overall free flow speed (uf) difference of different gradient is up to 27.3%. This result will benefit to the transport authority to justify the policy concerning the existence of trucks in the traffic flow, particularly in the condition at which trucks are regarded as a culprit of traffic congestion.

scholarly journals Analysis of Capacity, Speed, and Degree of Saturation of Intersections and Roads

2020 ◽  
Vol 2 (2) ◽  
pp. 150-164
Author(s):  
Muhammad Isradi ◽  
Hermanto Dwiatmoko ◽  
Muhammad Ikhsan Setiawan ◽  
Dadang Supriyatno
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Service Level ◽  
Traffic Volume ◽  
Traffic Signal ◽  
Degree Of Saturation ◽  
Field Surveys ◽  
Toll Road

No traffic-signal intersection located on Jalan Serang and Jalan Curug, Tangerang Regency often causes traffic congestion. Many side barriers activities of vehicles inhibit the movement of traffic flow.  The toll-road access, which is not far from the intersection, makes the queue long enough to enter Jl. Raya Serang also affects the performance of the surroundings. The study aims to determine the performance of the above intersection this time, which is measured by the capacity, degree of saturation, speed, queuing opportunities, density, and level of services. Field surveys and further analysis of the calculations that have been carried out show the intersection performance. The peak traffic volume occurred on Wednesday, February 5 2020, at 3877 pcu / hour at 07.00 - 08.00 WIB, with a capacity (C) of 2937 pcu / hour. From the available data, the DS value is 1.32. at the Service level F.

scholarly journals Pengaruh Pergerakan Putar Balik Arah terhadap Kinerja Ruas Jalan Letjen Hertasning Kota Makassar

2021 ◽  
Vol 6 (2) ◽  
pp. 76
Author(s):  
Rani Bastari Alkam ◽  
Muhammad Ilham Marhabang ◽  
Muhammad Ikhwan
Keyword(s):  
Traffic Congestion ◽  
Research Result ◽  
Degree Of Saturation ◽  
The Road ◽  
Road Section ◽  
Road Capacity ◽  
Traffic Performance ◽  
Road Performance ◽  
Additional Space ◽  
Movement Activities

Aktivitas putar balik arah pada beberapa bukaan median yang tersedia di sepanjang ruas Jalan Letjen Hertasning disinyalir sebagai pemicu kemacetan lalu lintas sebab pergerakan ini dapat menghambat pergerakan kendaraan pada kedua arah lalu lintas saat kendaraan memerlukan ruang manuver tambahan untuk menyelesaikan gerakan putar balik arah secara penuh. Penelitian ini bertujuan untuk menganalisis pengaruh pergerakan putar balik arah terhadap kinerja ruas jalan pada Jalan Letjen Hertasning Kota Makassar. Survei lalu lintas dilakukan pada lima pos pengamatan yang dipilih pada lima bukaan median pertama Jalan Letjen Hertasning yang berbatasan langsung dengan Jl. AP Pettarani selama tiga hari untuk segmen jam puncak pagi, siang, dan sore hari. Kinerja ruas jalan dianalisis mengikuti prosedur pada Manual Kapasitas Jalan Indonesia. Hasil penelitian menunjukkan bahwa antrian kendaraan saat bermanuver untuk memutar arah khususnya pada jam puncak setara dengan panjang 9 kendaraan atau sepanjang 36 m. Antrian ini menyebabkan kapasitas ruas jalan berkurang sebesar 2,5-10% dari kapasitas sesungguhnya yang menyebabkan terjadinya penurunan kecepatan, peningkatan derajat kejenuhan, dan penurunan tingkat pelayanan ruas jalan Letjen Hertasning. The U-turn movement activities at several median openings available along the Letjen Hertasning road arguably is one of the triggering factors for the occurrence of traffic congestion on that road section because this movement creates hindrances to traffic flow in the same lane and the contra flow when the vehicle requires additional space to complete the movement. The purpose of this study is to reveal the consequence caused by the U-turn movement to the traffic performance of Letjen Hertasning road in Makassar City. The traffic surveys were conducted at five selected observation points at the first five median openings of Jalan Letjen Hertasning which is directly adjacent to Jl. AP Pettarani for three days at three peak hours segment which are in the morning, afternoon, and evening. The analysis of road performance follows the procedures in the Indonesian Road Capacity Manual. Research result shown that the length of vehicles queuing to finish the U-turn movement during the peak hours reached 9 vehicles with a queue length of 36 m. This queue causes the capacity of the road to decrease by 2.5-10% of the actual capacity which causes a decrease in speed, an increase in the degree of saturation, and a reduction in the level of service of the road.

Smart Traffic Light System

2021 ◽  
Vol 9 (9) ◽  
pp. 679-686
Author(s):  
Rashi Maheshwari
Keyword(s):  
Traffic Congestion ◽  
Traffic Signals ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Traffic Light ◽  
Mathematical Functions ◽  
Light System ◽  
Smart Traffic ◽  
And Control

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.

scholarly journals Dynamic Traffic Light Control

2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Monitoring ◽  
Intelligent Transport System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Traffic Management System

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).

scholarly journals Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13855-13856 ◽  
Author(s):  
Lile Li ◽  
Wei Liu
Keyword(s):  
Traffic Congestion ◽  
Route Planning ◽  
Traffic Monitoring ◽  
Time Of Arrival ◽  
Traffic Data ◽  
Travel Time Prediction ◽  
Large Cities ◽  
Time Prediction ◽  
Real Time Traffic ◽  
Factorization Machine

Real-time traffic monitoring is one of the most important factors for route planning and estimated time of arrival (ETA). Many major roads in large cities are installed with live traffic monitoring systems, inferring the current traffic congestion status and ETAs to other locations. However, there are also many other roads, especially small roads and paths, that are not monitored. Yet, live traffic status on such un-monitored small roads can play a non-negligible role in personalized route planning and re-routing when road incident happens. How to estimate the traffic status on such un-monitored roads is thus a valuable problem to be addressed. In this paper, we propose a model called Spatial Factorization Machines (SFM) to address this problem. A major advantage of the SFM model is that it incorporates physical distances and structures of road networks into the estimation of traffic status on un-monitored roads. Our experiments on real world traffic data demonstrate that the SFM model significantly outperforms other existing models on ETA of un-monitored roads.

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