scholarly journals ANALISIS TITIK KEMACETAN DARI TERMINAL ARJOSARI KE TERMINAL GADANG BERDASARKAN TRAYEK ANGKUTAN KOTA AG MENGGUNAKAN SIG

BANGUNAN ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 49
Author(s):  
Fitris Dyah Astiti ◽  
Titi Rahayuningsih ◽  
Pranoto Pranoto
Keyword(s):  
Attorney General ◽  
Major Effect ◽  
Average Speed ◽  
The Road ◽  
Traffic Jams ◽  
Traffic Delays ◽  
Road Performance ◽  
On The Road ◽  
Performance Results ◽  
Road Segments

Abstrak:Penelitian ini bertujuan (1) mengetahui kinerja ruas jalan dari terminal Arjosari ke terminal Gadang berdasar trayek angkot AG agar mampu diketahui apakah dari hasil kenerja jalan tersebut menunjukkan kemacetan atau tidak. (2) Mengetahui analisis titik kemacetan di akses jalan dari terminal Arjosari ke terminal Gadang berdasar trayek Angkot AG menggunakan SIG. Hasil analisis kinerja jalan di jalan Raden Panji Suroso, jalan Ahmad Yani, jalan Jaksa Agung Suprapto, Jalan Pasar Besar, Jalan Sersan Harun, Jalan Kolonel Sugiono masuk kategori F atau terjadi kemacetan. Analisis titik kemacetan pada jalan yang menjadi trayek angkutan kota AG dari terminal Arjosari ke terminal Gadang terdapat dua puluh tundaan disebabkan oleh tundaan geometri, delapan tundaan disebabkan oleh tundaan lalu-lintas. Faktor yang paling banyak memunculkan kemacetan di sepanjang trayek angkutan kota AG dari terminal Arjosari ke terminal Gadang adalah tundaan geometri berupa U-TURN, Overlay, Simpang tanpa sinyal dan simpang bersinyal. Interaksi lalu-lintas baik berupa kendaraan parkir dan berhenti, kendaraan masuk dan keluar, pejalan kaki, dan kendaraan lambat hanya berpengaruh besar pada tundaan di segmen jalan tertentu seperti jalan Pasar Besar, jalan Sersan Harun, dan Pasar Comboran. Tundaan yang besar menyebabkan angkutan kota AG memiliki kecepatan rata-rata pada pagi hari adalah 15,05 km/jam. Kecepatan rata-rata pada siang hari adalah 15,91 km/jam, kecepatan rata-rata pada sore hari adalah 16,28 km/jam.Kata-kata kunci: Sistem Informasi Geografi, Kemacetan, Kinerja Jalan, Tundaan, MKJIAbstract: This study aims (1) to determine the performance of the road sections from Arjosari terminal to Gadang terminal based on the AG Angkot route so that we can determine whether the road performance results indicate congestion or not. (2) Knowing the analysis of congestion points in the road access from Arjosari terminal to Gadang terminal based on the Angkot AG route using GIS. The results of the analysis of road performance on Raden Panji Suroso Street, Ahmad Yani Street, Attorney General Suprapto Street, Pasar Besar Street, Sersan Harun Street, Colonel Sugiono Street were in category F or congestion occurred. Analysis of the congestion points on the road which is the route of the AG city transport from Arjosari terminal to the Gadang terminal there are twenty delays caused by geometric delays, eight delays due to traffic delays. The factors that cause the most traffic jams along the AG city transport route from Arjosari terminal to Gadang terminal are geometric delays in the form of U-TURN, Overlay, intersections without signal and intersections with signals. Traffic interactions in the form of parking and stopping vehicles, incoming and outgoing vehicles, pedestrians and slow vehicles only have a major effect on delays in certain road segments such as Jalan Pasar Besar, Jalan Sersan Harun, and Pasar Comboran. Large delays cause AG city transportation to have an average speed of 15.05 km / hour in the morning. The average speed during the day is 15.91 km / hour, the average speed in the afternoon is 16.28 km / hour.Keywords: Geographic Information System, Congestion, Road Performance, Delays, MKJI

Research on the Road Performance of the AC-25 Asphalt Mixtures

2012 ◽  
Vol 204-208 ◽  
pp. 1593-1598
Author(s):  
Hong Mei Li ◽  
Wen Fang Liu
Keyword(s):  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Asphalt Mixtures ◽  
Central Layer ◽  
The Road ◽  
Road Performance ◽  
On The Road

In this paper, firstly, based on asphalt pavement central layer, the comparison with the foreign related gradation of asphalt mixtures, one typical kinds of gradations are decided; Secondly, the asphalt aggregate ratio is predicted based on professor Lin’s Theory , and five asphalt aggregate ratio are selected. Finally, the road performance of asphalt mixture is experimented, and the road performance of five asphalt aggregate ratio is analyzed. As a result, we can predict the range of the optimum asphalt aggregate ratio based on the road performance.

A Safe-Region Approach to a Moving k-RNN Queries in a Directed Road Network

2017 ◽  
Vol 26 (05) ◽  
pp. 1750071 ◽  
Author(s):  
Kamil Zeberga ◽  
Rize Jin ◽  
Hyung-Ju Cho ◽  
Tae-Sun Chung
Keyword(s):  
Road Network ◽  
Nearest Neighbor ◽  
Exact Formula ◽  
Specific Situation ◽  
The Road ◽  
Query Answer ◽  
Safe Region ◽  
On The Road ◽  
Conventional Solution ◽  
Road Segments

In road networks, [Formula: see text]-range nearest neighbor ([Formula: see text]-RNN) queries locate the [Formula: see text]-closest neighbors for every point on the road segments, within a given query region defined by the user, based on the network distance. This is an important task because the user's location information may be inaccurate; furthermore, users may be unwilling to reveal their exact location for privacy reasons. Therefore, under this type of specific situation, the server returns candidate objects for every point on the road segments and the client evaluates and chooses exact [Formula: see text] nearest objects from the candidate objects. Evaluating the query results at each timestamp to keep the freshness of the query answer, while the query object is moving, will create significant computation burden for the client. We therefore propose an efficient approach called a safe-region-based approach (SRA) for computing a safe segment region and the safe exit points of a moving nearest neighbor (NN) query in a road network. SRA avoids evaluation of candidate answers returned by the location-based server since it will have high computation cost in the query side. Additionally, we applied SRA for a directed road network, where each road network has a particular orientation and the network distances are not symmetric. Our experimental results demonstrate that SRA significantly outperforms a conventional solution in terms of both computational and communication costs.

scholarly journals ANALISIS KINERJA RUAS JALAN RAYA SINGOSARI KABUPATEN MALANG

BANGUNAN ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 25
Author(s):  
Agustina P. F. Seran ◽  
Sugiyanto Sugiyanto ◽  
Pranoto Pranoto
Keyword(s):  
Network Performance ◽  
Service Level ◽  
Average Density ◽  
Level Of Service ◽  
Average Speed ◽  
The Road ◽  
Traffic Characteristics ◽  
Road Geometry ◽  
Road Performance ◽  
Side Friction

Abstrak:Peningkatan volume lalu lintas jika tidak diimbangi dengan kinerja jaringan jalan yang baik akan menyebabkan terjadinya kemacetan. Dengan mengetahui tingkat pelayanan jalan saat ini, dapat ditentukan penanganan yang tepat untuk meningkatkan kinerja jalan.Tujuan penelitian : (1) Mengetahui karakteristik lalu lintas Jalan Raya Singosari; (2) Mengetahui kinerja ruas Jalan Raya Singosari; (3) Mengetahui kinerja ruas Jalan Raya Singosari setelah diterapkan alternatif penanganan masalah lalu lintas yang terjadi.Metode dilakukan dengan survei geometri jalan, survei volume kendaraan, survei kecepatan kendaraan, dan survei hambatan samping. Analisis data menggunakan Manual Kapasitas Jalan Indonesia 1997. Penelitian dilakukan pada hari Minggu, Senin, dan Selasa pukul 06.00-22.00.Hasil penelitian : (1) Karakteristik lalu lintas pada ruas Jalan Raya Singosari arah Lawang, volume kendaraan tertinggi sebesar 2561,8 smp/jam pada pukul 16.30 – 17.30, kecepatan rata-rata 26,31 km/jam, dan kepadatan rata-rata 155,99 smp/km. Sedangkan untuk arah Malang, volume kendaraan tertinggi sebesar 2455,4 smp/jam pada pukul 16.00 -17.00, kecepatan rata-rata 29,34 km/jam, dan kepadatan rata-rata 132,35 smp/km. (2) Tingkat pelayanan rata-rata pada ruas Jalan Raya Singosari berada di rentang D dan E dengan tingkat pelayanan pada jam puncak adalah F. (3) Dengan alternatif pelebaran jalan dalam bentuk penambahan 1 lajur, tingkat pelayanan menjadi lebih baik di kelas C. Sedangkan dengan alternatif penerapan jalan tanpa hambatan samping, tingkat pelayanan menjadi lebih baik di kelas C dan D.Kata-kata kunci: kinerja jalan, tingkat pelayanan, jalan raya singosariAbstract: An increase in traffic volume if not balanced with good road network performance will cause congestion. By knowing the current level of road service, it can be determined the appropriate treatment to improve road performance. Research objectives: (1) Knowing the traffic characteristics of Singosari Highway; (2) Knowing the performance of the Singosari Highway section; (3) Knowing the performance of the Singosari Highway section after implementing alternative handling of traffic problems. The method is carried out by surveying the road geometry, surveying the volume of vehicles, surveying the speed of vehicles, and surveying side friction. Data analysis used the Indonesian Road Capacity Manual 1997. The study was conducted on Sundays, Monday and Tuesday from 06.00-22.00. The results of the study: (1) Traffic characteristics on Jalan Raya Singosari in the direction of Lawang, the highest vehicle volume was 2561.8 pcu hours at 16.30 - 17.30, average speed of 26.31 km / hour, and an average density of 155.99 pcu / km. Meanwhile, for Malang direction, the highest vehicle volume was 2455.4 pcu / hour at 16.00-17.00, the average speed was 29.34 km / hour, and the average density was 132.35 pcu / km. (2) The average service level on Jalan Raya Singosari is in the range D and E with the level of service at peak hours is F. (3) With the alternative of road widening in the form of adding 1 lane, the service level is better in class C. Whereas with the alternative of implementing roads without side obstacles, the level of service is better in classes C and D.Keywords: road performance, service level, Jalan Raya Singosari

scholarly journals Epic landslide erosion from mountain roads in Yunnan, China – challenges for sustainable development

2014 ◽  
Vol 2 (6) ◽  
pp. 3887-3917
Author(s):  
R. C. Sidle ◽  
M. Ghestem ◽  
A. Stokes
Keyword(s):  
Sediment Delivery ◽  
The Road ◽  
Erosion Rates ◽  
Construction Techniques ◽  
Road Development ◽  
On The Road ◽  
Steep Terrain ◽  
Trigger Mechanisms ◽  
Road Segments ◽  
Salween River

Abstract. Expanding mountain road networks in developing countries significantly increase the risk of landslides and sedimentation, as well as create vulnerabilities for residents and aquatic resources. We measured landslide erosion along seven road segments in steep terrain in the upper Salween River basin, Yunnan, China and estimated sediment delivery to channels. Landslide erosion rates along the roads ranged from 2780 to 48 235 Mg ha−1 yr−1, the upper end of this range being the highest rate ever reported along mountain roads. The two roads with the highest landslide erosion (FG1 = 12 966 Mg ha−1 yr−1 ; DXD = 48 235 Mg ha−1 yr−1) had some of the highest sediment delivery rates to channels (about 80 and 86%, respectively). Overall, three times more landslides occurred along cutslopes compared to fillslopes, but fillslope failures had a combined mass >1.3 times that of cutslope failures. Many small landslides occurred along road cuts, but these were often trapped on the road surface. Given the magnitude of the landslide problem and the lack of attention to this issue, a more sustainable approach for mountain road development is outlined based on an analysis of landslide susceptibility and how thresholds for landslide trigger mechanisms would be modified by road location and construction techniques.

scholarly journals Analysis Of The Performance East Circle Road Of Sidoarjo

2021 ◽  
Vol 1 (2) ◽  
pp. 37-42
Author(s):  
Muhammad Ayung Tama ◽  
M. Ikhsan Setiawan ◽  
Sapto Budi Wasono
Keyword(s):  
Service Level ◽  
Traffic Volume ◽  
Degree Of Saturation ◽  
Volume Data ◽  
Ring Road ◽  
The Road ◽  
Road Capacity ◽  
Steady Current ◽  
Road Performance ◽  
On The Road

Along with the increasing number of the population of Sidoarjo, this has an i mpact on traffic volume, it occurs on the road of Gedangan roads to Buduran, therefore carried out the transfer of road access to the East Ring Road with specialized for heavy vehicles, due to the transfer of the road, it is necessary to perform the analysis of the East circumference road performance. The research aims to determine the magnitude of the influence of heavy vehicle volumes on the road performance of the East Ring road. The performance Of the east circumference traffic by counting the Level Of Service (LOS) and calculating the volume Of the vehicle compared to the road capacity (degree Of saturation). Traffic volume Data surveyed for 2 days (6 and 10 August 2020), for 6 hours per day at 06.00 – 08.00, 12.00 – 14.00, and 16.00 – 18.00. The analysis of road performance is using the Manual road Capacity (MKJI) method with a degree of saturation (DS) as the main indicator of road performance. The results of the analysis showed the performance of the road on the condition of the excitation point 1 the value of saturation of 0.61 and in point 2 of the value of saturation 0.97 and the result of service level of roadway 1 is C (steady current speed and motion-controlled vehicles) and in point 2 is E (current unstable speed sometimes stalled close request of capacity).

scholarly journals TINJAUAN UMUR RENCANA JALAN PADA TAHUN KE 3 TERHADAP PENURUNAN KINERJA JALAN

Teras Jurnal ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Adzuha - Desmi
Keyword(s):  
Transportation Network ◽  
Road Surface ◽  
Transportation Infrastructure ◽  
The Road ◽  
The Third ◽  
Marshall Test ◽  
Road Performance ◽  
On The Road ◽  
The Relationship

<p align="center"><strong><em>Abstract</em></strong></p><p>Highway is a land transportation infrastructure that forms a transportation network to connect an area to other regions, so that the wheels of the economy and development can rotate well. This research was based on the road age of the third year of the road Krueng Geukueh - Beureughang, so the researchers wanted to know what factors were the causes of performance degradation on the road and the relationship between the decline in road performance on the material used. In this study includes 3 stages, namely, Core drill, Marshall Test testing and testing of Test Extracts that have been achieved using 8 (Eight) samples. So it can be concluded that there has been a decrease in asphalt levels on the road resulting in damage and decreased performance on the road. Coupled with increased charges within 3 (three) years, therefore repairs to the road are needed. From this research, it is expected to be able to provide input to improve the quality of the material and the layer of road surface pavement.</p><p> </p><strong><em>Keywords :   Decreasing Road Performance, Core Drill,  Marshall Test, Test Extract,  Asphalt Level.</em></strong>

Self-Driving Robotic Cars

2021 ◽  
pp. 599-631
Author(s):  
Jelena L. Pisarov ◽  
Gyula Mester
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicle ◽  
Closed Circuit ◽  
Small Scale ◽  
Traffic Patterns ◽  
Complex Environments ◽  
The Road ◽  
Traffic Jams ◽  
Simulation Techniques ◽  
On The Road

Even the behavior of a single driver can have a dramatic impact on hundreds of cars, making it more difficult to manage traffic. While the attempts to analyze and correct the traffic patterns that lead to congestion began as early in the 1930s, it wasn't until recently that scientists developed simulation techniques and advanced algorithms to create more realistic visualizations of traffic flow. In experiments conducted by Alexandre Bayen and the Liao-Cho, which included several dozen cars in a small-scale closed circuit, a single autonomous vehicle could eliminate traffic jams by moderating the speed of every car on the road. In larger simulations, the research showed that once their number rises to 5-10% of all cars in the traffic, they can manage localized traffic even in complex environments, such as merging multiple lanes of traffic into two or navigating extremely busy sections.

Self-Driving Robotic Cars

2022 ◽  
pp. 969-1001
Author(s):  
Jelena L. Pisarov ◽  
Gyula Mester
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicle ◽  
Closed Circuit ◽  
Small Scale ◽  
Traffic Patterns ◽  
Complex Environments ◽  
The Road ◽  
Traffic Jams ◽  
Simulation Techniques ◽  
On The Road

Even the behavior of a single driver can have a dramatic impact on hundreds of cars, making it more difficult to manage traffic. While the attempts to analyze and correct the traffic patterns that lead to congestion began as early in the 1930s, it wasn't until recently that scientists developed simulation techniques and advanced algorithms to create more realistic visualizations of traffic flow. In experiments conducted by Alexandre Bayen and the Liao-Cho, which included several dozen cars in a small-scale closed circuit, a single autonomous vehicle could eliminate traffic jams by moderating the speed of every car on the road. In larger simulations, the research showed that once their number rises to 5-10% of all cars in the traffic, they can manage localized traffic even in complex environments, such as merging multiple lanes of traffic into two or navigating extremely busy sections.

Using GIS in Disaster Response Operations

2021 ◽  
pp. 176-199
Author(s):  
Zafer Yilmaz
Keyword(s):  
Disaster Response ◽  
Linear Models ◽  
Economic Losses ◽  
Travel Times ◽  
The Road ◽  
On The Road ◽  
Logistic Support ◽  
Earthquake Effects ◽  
Road Segments

Earthquakes come first compared with other disasters concerning casualties and economic losses. Thousands of people need heath and logistic support after earthquakes. Therefore, legal authorities focus on finding best locations for logistics depots to reach the demand points as soon as possible. Linear and non-linear models are used to find depot locations. In this study, alternatively, geographic information system (GIS) is used to find the optimal locations of depots among candidates. A new model is introduced which cover the earthquake effects while estimating the vehicle speeds on road segments. Optimal locations of depots are found both with and without including the earthquake effects on vehicle speeds and travel times on the road segments in order to compare the results. A case study is applied for Bahçelievler town in Istanbul. Three depot locations are found among 21 candidate locations (facilities) for 62 estimated demand points. The results show that the depot locations are not necessarily the same whether the earthquake effects on travel times are included or not.

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