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Academic literature on the topic 'Greenshields model'
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Journal articles on the topic "Greenshields model"
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Rakha, Hesham, and Brent Crowther. "Comparison of Greenshields, Pipes, and Van Aerde Car-Following and Traffic Stream Models." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 248–62. http://dx.doi.org/10.3141/1802-28.
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Three car-following models were compared: the Greenshields single-regime model, the Pipes two-regime model, and a four-parameter single-regime model that amalgamates both the Greenshields and Pipes models. The four-parameter model proposed by Van Aerde and Rakha is less known but is currently implemented in the INTEGRATION 2.30 software. The Greenshields and Pipes models were considered because they represent state-of-the-practice models for several types of microscopic and macroscopic software. The Greenshields model is widely used in macroscopic transportation planning models. In addition, the Pipes model is implemented in a number of microscopic traffic simulation models including CORSIM and VISSIM. Steady-state car-following behavior is also related to macroscopic traffic stream models to develop calibration procedures that can be achieved using macroscopic loop detector data. The study concluded that the additional degree of freedom that results from including a fourth parameter (Van Aerde model) overcomes the shortcomings of the current state-of-the-practice traffic stream models by capturing both macroscopic and microscopic steady-state traffic behavior for a wide range of roadway facilities and traffic conditions. Also developed was a procedure for calibrating the Pipes car-following model using macroscopic field measurements that can be obtained from loop detectors. Although this calibration procedure does not overcome the inherent shortcomings of the Pipes model, it does provide an opportunity to calibrate the CORSIM and VISSIM car-following behavior to existing roadway conditions more efficiently and without the need to collect microscopic traffic data.
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Huang, Jingru, Yan Wang, and Mei Han. "Fast L2 Calibration for Inexact Highway Traffic Flow Systems." Electronics 11, no. 22 (2022): 3710. http://dx.doi.org/10.3390/electronics11223710.
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Transportation systems need more accurate predictions to further optimize traffic network design with the development and application of autonomous driving technology. In this article, we focus on highway traffic flow systems that are often simulated by the modified Greenshields model. However, this model can not perfectly match the true traffic flow due to its underlying simplifications and assumptions, implying that it is inexact. Specifically, some parameters affect the simulation accuracy of the modified Greenshields model, while tuning these parameters to improve the model’s accuracy is called model calibration. The parameters obtained using the L2 calibration have the advantages of high accuracy and small variance for an inexact model. However, the method is calculation intensive, requiring optimization of the integral loss function. Since traffic flow data are often massive, this paper proposes a fast L2 calibration framework to calibrate the modified Greenshields model. Specifically, the suggested method selects a sub-design containing more information on the calibration parameters, and then the empirical loss function obtained from the optimal sub-design is utilized to approximate the integral loss function. A case study highlights that the proposed method preserves the advantages of L2 calibration and significantly reduces the running time.
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Lucky Tulus Pribadi. "Studi Hubungan Volume, Kecepatan dan Kerapatan pada Ruas Jalan Gatot Subroto Kota Cimahi." Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik 3, no. 1 (2020): 233–39. http://dx.doi.org/10.26874/jt.vol3no1.235.
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Arus lalu lintas merupakan interaksi yang unik antara pengemudi, kendaraan, dan jalan. Tidak ada arus lalu lintas yang sama bahkan pada keadaan yang serupa. Sehingga arus pada suatu ruas jalan tertentu selalu bervariasi. Walaupun demikian diperlukan parameter yang dapat menunjukkan kondisi ruas jalan, atau yang akan dipakai untuk desain. Parameter tersebut antara lain adalah volume, kecepatan dan kerapatan.
 Hubungan antara volume, kecepatan dan kerapatan sering digunakan sebagai dasar dalam pengelolaan arus lalu lintas pada suatu jalan raya. Untuk itu perlu dilakukan suatu studi mengenai ketiga parameter ini sehingga hasil studi dapat memberikan gambaran yang saling terkait antara ketiga parameter tersebut. Hasil analisis dari studi berupa model matematis yang dikembangkan berdasarkan hubungan dasar volume sama dengan kecepatan kali kerapatan atau dalam bentuk persamaan V = D.Us.
 Terdapat banyak model dalam menyatakan hubungan antara volume, kecepatan dan kerapatan. Tiga diantaranya adalah model Greenshields, Greenberg dan Underwood. Greenshields mendasarkan modelnya pada asumsi hubungan kecepatan dan kerapatan merupakan hubungan linier. Greenberg beranggapan arus lalu lintas dapat dianalogikan sebagai arus fluida. Hubungan kecepatan dan kerapatan pada model Greenberg dengan demikian merupakan hubungan logaritmik. Pada model Underwood, model yang disusun berdasarkan teorinya dari hasil penelitian kecepatan dan kerapatan dimana kedua parameter ini memiliki hubungan eksponential.
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Mukhlis, Mukhlis. "HUBUNGAN KECEPATAN, KEPADATAN DAN VOLUME LALU LINTAS DENGAN MODEL GREENSHIELDS (STUDI KASUS JALAN DARUSSALAM LHOKSEUMAWE)." TERAS JURNAL 3, no. 2 (2017): 148. http://dx.doi.org/10.29103/tj.v3i2.40.
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<p>Jenis kendaraan lalu lintas yang melintasi Jalan Darussalam Kota Lhokseumawe terdiri dari mobil penumpang, mobil barang, becak dan sepeda motor. Banyaknya kendaraan yang melewati jalan tersebut sangat dipengaruhi oleh banyaknya fasilitas-fasilitas umum yang digunakan oleh masyarakat, seperti pertokoan, mini market, sekolah, pertamina, perkantoran, dan lain-lain. Dalam merepresentasikan hubungan matematis kecepatan, kepadatan dan volume lalu lintas pada Jalan Darussalam Kota Lhokseumawe digunakan model Greenshields. Pengamatan untuk penelitian dilakukan pada haris Senin, Jum'at dan Minggu mulai pukul 07.00 WIB sampai dengan pukul 19.00 WIB. Bentuk matematis hubungan antara Kecepatan dan Kepadatan untuk hari Senin adalah S - D = 42,37 - 0,9611 D, sedangkan untuk hari Jum'at adalah S - D = 22,915 + 0,8513 D dan untuk hari Minggu adalah S - D = 45,5254 - 0,9922 D. Bentuk matematis hubungan antara Volume dan Kepadatan untuk hari Senin adalah V - D = 42,37 D - 0,9611 D², sedangkan pada hari Jum'at adalah V - D = 22,915 D - 0,8513 D², dan untuk hari Minggu adalah V - D = 45,5254 D - 0,9922 D². Bentuk matematis hubungan antara Volume dan Kecepatan untuk hari Senin adalah V - S = 44,0849 S - 0,9611 S², sedangkan untuk hari Jum'at adalah V - S = -26,9177 S + 1,1747S², dan untuk hari Minggu adalah V - S = 45,8821 S - 1,0078 S².</p><p><br /><strong>Kata kunci:</strong> Kecepatan, kepadatan, Volume Lalu lintas, Model Greenshields</p>
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Juanda, Ari, Muhammad Isya, and Noer Fadhly. "Hubungan Volume, Kecepatan Dan Kepadatan Dengan Model Greenshields, Greenberg, Dan Underwood Pada Ruas Jalan Luar Kota Kawasan Gunung Geurutee." Jurnal Arsip Rekayasa Sipil dan Perencanaan 2, no. 4 (2019): 286–93. http://dx.doi.org/10.24815/jarsp.v2i4.14945.
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In Indonesia, Karl-L Bang research in 1994 on the relationship between traffic parameters was included in the Indonesian Road Capacity Manual 1997. The research has undergone many changes between 1994 and 2018 in the growth of traffic that may affect traffic flow and volume, speed and density all urban roads, roads outside the city in an area, In Aceh studies have also been conducted into the relationship between traffic parameters on different roads. On this basis, it is very necessary to know the characteristics of traffic flows that occur on the Banda Aceh - Meulaboh section 65 + 450 is located in Aceh Jaya Regency, in the province of Aceh. Given that this road is located in an extremely mountainous area, where there are many very steep curves and ravines and rocks on the cliff side of the road. Analysis using models Greenshields, Greenberg, and Underwood. The results of the study show that the Greenshields model is the most satisfying compared to the Greenberg model and the Underwood model with a coefficient of determination (R2) greater than 0.88. The model is in accordance with the traffic conditions on the Outer City Road. Then the traffic flow obtained can not reach optimum conditions, namely in a stable traffic flow condition. The relationship between speed and density (S-D) with the model equation is S = 36,525 - 0,815 D; The volume-density (V-D) relationship with the model equation is V = 36,525 D - 0,815 D2; The relationship of volume - speed (V-S) with the model equation is V = 44,835 S - 1,228 S2
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Efendi, Jauhari, and Rosehan Anwar. "THE COMPARATIVE ANALYSIS OF THE PERFORMANCE OF TRAFFIC FLOW USING MKJI METHOD, GREENSHIELDS MODEL, GREENBERG, AND UNDERWOOD ON THE WAY THE BASIS OF ULIN BANJARBARU KM.23 BANJARBARU (STA 23+450 - STA 23+650)." CERUCUK 3, no. 1 (2019): 53. http://dx.doi.org/10.20527/crc.v3i1.1104.
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Traffic flow is one of the components that cannot be integral part with other components such as social activity, economic, cultural, population and land use patterns. Along with the growth of traffic flow increased rapidly, then there would be the density of traffic flow. This is because the density of the capacity of the motor vehicle on the street are very much, this can lead to delays.Three model approach through traffic Greenshields model, Greenberg, Underwood Manual and the capacity of the way Indonesia (MKJI) 1997 provide guidance to get the level of service of the road from a roads.The model equation for the flow of Banjarmasin to Banjarbaru namely model greenberg with equation y = -39,9ln(x)+179,7 and value of R of 0,7312 with maximum volume 1326,38 smp/hour, while for the current Banjarbaru to Banjarmasin obtained similarities with Greenberg Model, y = -14,32ln(x) + 102,23 and value of R of 6638,38 obtained when the volume of the maximum of 460 smp/hour.Based on the prediction that done, obtained the result that in the year 4 and year 5 the level of services in the way of Ahmad Yani Km.32 Banjarbaru located on the category of class E and F. So the need to be done so that the level of services can be increased and become better.Key Words: Greenshields, Greenberg, Underwood, MKJI, prediction.
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Shlayan, Neveen, Kiran Challapali, Dave Cavalcanti, Talmai Oliveira, and Yong Yang. "A Novel Illuminance Control Strategy for Roadway Lighting Based on Greenshields Macroscopic Traffic Model." IEEE Photonics Journal 10, no. 1 (2018): 1–11. http://dx.doi.org/10.1109/jphot.2017.2782801.
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Khan, Zawar Hussain, Thomas Aaron Gulliver, and Waheed Imran. "A Macroscopic Traffic Model Based on the Safe Velocity at Transitions." Civil Engineering Journal 7, no. 6 (2021): 1060–69. http://dx.doi.org/10.28991/cej-2021-03091710.
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The increasing volume of vehicles on the road has had a significant impact on traffic flow. Congestion in urban areas is now a major concern. To mitigate congestion, an accurate model is required which is based on realistic traffic dynamics. A new traffic model is proposed based on the conservation law of vehicles which considers traffic dynamics at transitions. Traffic alignment to forward conditions is affected by the time and distance between vehicles. Thus, the well-known Lighthill, Whitham, and Richards (LWR) model is modified to account for traffic behavior during alignment. A model for inhomogeneous traffic flow during transitions is proposed which can be used to characterize traffic evolution. The performance of the proposed model is compared with the LWR model using the Greenshields and Underwood target velocity distributions. These models are evaluated using the Godunov technique and numerical stability is guaranteed by considering the Courant, Friedrich, and Lewy (CFL) condition. The results obtained show that the proposed model characterizes the flow more realistically, and thus can provide better insight into traffic behavior for use in controlling congestion and pollution levels, and improving public safety. Doi: 10.28991/cej-2021-03091710 Full Text: PDF
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Arrang, Abdias Tandi. "HUBUNGAN KECEPATAN, VOLUME DAN KEPADATAN LALULINTAS DI JALAN DR. RATULANGI (DEPAN CITY MARKET PALOPO) MENGGUNAKAN MODEL GREENSHIELDS." Journal Dynamic Saint 4, no. 2 (2020): 803–10. http://dx.doi.org/10.47178/dynamicsaint.v4i2.882.
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Terbangunnya City Market Palopo sebagai salah satu pusat perbelanjaan di Kota Palopo memberikan dampak pada bertambahnya volume lalulintas di Jalan Dr. Ratulangi, di mana jalan tersebut merupakan salah satu jalan utama yang menjadi penghubung antara Makassar sebagai ibu kota Propinsi Sulawesi Selatan ke daerah seperti Luwu Utara, Luwu Timur bahkan ke Propinsi Sulawesi Tengah, dan Sulawesi Tenggara. Adanya peningkatan volume lalu lintas akan menyebabkan berubahnya perilaku lalu lintas. Secara teoritis terdapat hubungan yang mendasar antara volume (flow) dengan kecepatan (speed) serta kepadatan (density). Penelitian dilakukan dengan survey arus, kecepatan dan mengambil data geometrik pada lokasi penelitian. Data kemudian diolah dan dianalisis dengan metode Greeshields. Dari analisis tersebut diperoleh persamaan hubungan antara volume dan kepadatan adalah Q = 30.766 D – 0.081 D2, sementara persamaan hubungan antara kecepatan dan kepadatan adalah S =3 0.766 – 0.081 D dan persamaan hubungan antara kecepatan dan volume adalah Q = 377.144 – 12.258 S2. Analisis menunjukkan bahwa grafik hubungan antara arus, kecepatan dan kepadatan sesuai dengan model Greenshields
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Wu, Zhipeng. "Study on regional road network planning based on time and noise integrated resistance function." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 7 (2023): 25–31. http://dx.doi.org/10.3397/in_2022_0006.
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To rationally reduce traffic noise emission from road network from the perspective of planning, a regional traffic flow distribution method combining time and noise integrated resistance function is proposed, and the method is applied in a typical region to verify its reasonability and practicability. Firstly, according to Greenshields model, the relationship among three traffic parameters (velocity, density and flow) is described, and combined with a line-source emission model of traffic noise, a univariate noise prediction model based on flow is established. Then, with the establishing of the traffic noise resistance function, an integrated resistance model considering traffic noise impact and travel time impact is proposed, which is used for traffic flow distribution while in the road network planning process. Finally, the network planning is realized utilizing the proposed method considering traffic noise. A network planning case in a typical region shows that the method can effectively reduce the noise emission of the regional network, which has practical value in traffic environment control.