EVALUASI FAKTOR HAMBATAN SAMPING PADA PENENTUAN KAPASITAS JALAN STUDI KASUS: JALAN JENDRAL SUDIRMAN JAKARTA

Technological developments and economic growth in the DKI Jakarta area have resulted in increased development in various fields, that the need for transportation facilities is increasing in the center of Jakarta, especially on Jalan Jendral Sudirman, traffic congestion is caused by an imbalance between increased use of vehicles and the growth of available road infrastructure, and the capacity of the existing road is smaller than the capacity of the planned road, all of which result in side obstacles. The purpose of this study was to analyze and evaluate side barriers in determining traffic capacity in various conditions and certain times, based on the 1997 MKJI guidelines. Calculating road capacity using secondary data from research that has been validated by previous researchers. in 2020 by Sarah Haryati, that data is obtained on Jalan Jendral Sudirman, Jakarta. In addition, we also use questionnaire data in the form of a google form to get the perception of these side barriers. The results obtained that the Jalan Jendral Sudirman Jakarta section is in the Very Low class in the morning, afternoon, and evening. For the next research, it is expected to specifically make a questionnaire to focus more on getting more valid data. ABSTRAKPerkembangan teknologi serta pertumbuhan ekonomi di wilayah DKI Jakarta mengakibatkan peningkatan pembangunan di berbagai bidang, sehingga kebutuhan sarana transportasi semakin meningkat pada pusat kota Jakarta terutama pada jalan Jendral Sudirman, kemacetan lalu lintas disebabkan oleh ketidak seimbangan antara peningkatan penggunaan kendaraan dan pertumbuhan prasarana jalan yang tersedia, serta kapasitas ruas jalan yang ada lebih kecil dari kapasitas jalan yang direncanakan, semua itu mengakibatkan adanya hambatan samping. Tujuan penelitian ini dilakukan untuk menganalisis dan juga mengevaluasi faktor hambatan samping pada penetuan kapasitas lalu lintas di berbagai macam kondisi dan waktu tertentu, dengan berdasarkan dari pedoman MKJI tahun 1997. Dengan menghitung kapasitas jalan menggunakan data sekunder dari penelitian yang sudah di validasi yang dilakukan oleh peneliti sebelumnya pada tahun 2020 oleh Sarah Haryati, didapatkan data-data pada jalan Jendral Sudirman, Jakarta. Selain itu kita juga menggunakan data kuesioner dalam bentuk google form untuk mendapatkan persepsi hambatan samping tersebut. Hasil yang didapatkan bahwa ruas Jalan Jendral Sudirman Jakarta terdapat dalam kelas Sangat Rendah pada waktu pagi hari, siang hari, dan sore hari. Untuk penelitian berikutnya, diharapkan secara khusus membuat kuesioner agar lebih fokus mendapatkan data yang lebih valid.

The self-adaptive routing strategy to alleviate packet loss in finite buffer networks

In real communication or transportation systems, loss of agents is very common due to finite storage capacity. We study the traffic dynamics in finite buffer networks and propose a routing strategy motivated by a heuristic algorithm to alleviate packet loss. Under this routing strategy, the traffic capacity is further improved, comparing to the shortest path routing strategy and efficient routing strategy. Then we investigate the effect of this routing strategy on the betweenness of nodes. Through dynamic routing changes, the maximum node betweenness of the network is greatly reduced, and the final betweenness of each node is almost the same. Therefore, the routing strategy proposed in this paper can balance the node load, thereby effectively alleviating packet loss.

Taking the high road: Retrofitting amenity onto urban arterial roads

<p>Amenity values on urban arterial roads are fraught. This is largely due to the traditional traffic capacity versus amenity trade-off. This trade-off implies that high-capacity roads must be inherently deficient in amenity due to issues of air quality, noise nuisance and the physical barrier of streams of traffic. However, a more nuanced position – and one adopted by this thesis - is that arterial roads can be both busy thoroughfares and active, enjoyable destinations. This design-led research explores retrofitting amenity values onto existing arterial roads, creating new spaces and improving qualities of a system not originally constructed with amenity in mind. Cuba Street in Lower Hutt is a regionally significant connector intended for future densified development. In addition to the current link function, this road needs to become more attractive as a destination and address. Consideration at the urban scale encourages broad, strategic planning to support amenity holistically. This urban planning addresses topics like desirable densification, transit-oriented development, walkable centres and how these affect the arterial road condition. In moving from urban-scaled to architectural design, the detailed implementation of the greater policies is tested. Architecture is engaged to respond to the immediate arterial road conditions with spaces and surfaces, protective buffers and layers. In this way - with architectural refinement and a comprehensive, coherent strategy - traffic capacity and amenity can be brought into balance.</p>

Taking the high road: Retrofitting amenity onto urban arterial roads

<p>Amenity values on urban arterial roads are fraught. This is largely due to the traditional traffic capacity versus amenity trade-off. This trade-off implies that high-capacity roads must be inherently deficient in amenity due to issues of air quality, noise nuisance and the physical barrier of streams of traffic. However, a more nuanced position – and one adopted by this thesis - is that arterial roads can be both busy thoroughfares and active, enjoyable destinations. This design-led research explores retrofitting amenity values onto existing arterial roads, creating new spaces and improving qualities of a system not originally constructed with amenity in mind. Cuba Street in Lower Hutt is a regionally significant connector intended for future densified development. In addition to the current link function, this road needs to become more attractive as a destination and address. Consideration at the urban scale encourages broad, strategic planning to support amenity holistically. This urban planning addresses topics like desirable densification, transit-oriented development, walkable centres and how these affect the arterial road condition. In moving from urban-scaled to architectural design, the detailed implementation of the greater policies is tested. Architecture is engaged to respond to the immediate arterial road conditions with spaces and surfaces, protective buffers and layers. In this way - with architectural refinement and a comprehensive, coherent strategy - traffic capacity and amenity can be brought into balance.</p>

Development of Reliable Models of Signal-Controlled Intersections

The paper considers an approach to building various mathematical models for homogeneous groups of intersections manifested through the use of clustering methods. This is because of a significant spread in their traffic capacity, as well as the influence of several random factors. The initial data on the traffic flow of many intersections was obtained from real-time recorders of the convolutional neural network. As a result of the analysis, we revealed statistically significant differences between the groups of intersections and compiled their linear regression models as a basis for the subsequent formation of generic management decisions. To demonstrate visually the influence of random factors on the traffic capacity of intersections, we built distribution fields based on the fuzzy logic methods for one of the clusters consisting of 14 homogeneous intersections. Modeling was based on the Gaussian type of membership functions as it most fully reflects the random nature of the pedestrian flow and its discontinuity.

Pavement Optimisation With Aggregate Base Or Asphalt Layers Stabilised With Hexagonal Geogrids

The use of hexagonal geogrids in pavement structures results in the increase of the life of designed structure. This offers the possibility to reduce the thickness of layers without reduction of pavement life, or to increase the traffic capacity of a pavement without the need to increase its thickness. This way of using geogrids in pavements design was introduced to the pavement industry by one producer of hexagonal geogrids as a Pavement Optimisation (PO) concept. It can be transformed into both economic and environmental benefits, and obviously results in savings of natural resources and reduction of carbon footprint of a project. PO with geogrids can be used both in the newly designed pavement structures, and in the asphalt overlays of the existing old pavements. Asphalt overlays enhancement with a geogrid either increases the fatigue life of overlays or allows the reduction of overlays thickness to achieve the same pavement life. In new pavements, stabilisation of aggregate base with geogrids increases the stiffness of aggregate, which increases the performance of a whole pavement. This paper presents several tests results, which confirm beneficial effects of using hexagonal geogrids in asphalt overlays and aggregate base layers, from laboratory to full scale accelerated pavement tests. Also, modifications of Mechanistic-Empirical pavement design method, which allow to implement the geogrid benefits into the design process, are discussed. Finally, case studies of pavements – newly designed and reconstructed – optimised with hexagonal geogrids are presented.

Basic Study on Expressway Congestion Mitigation using Cellular Automata

Traffic congestion has become a serious social problem in Japan. In particular, traffic congestion causes enormous time and economic losses on expressways, which are intended to facilitate smooth traffic flow. It also causes environmental problems and a decrease in logistics efficiency, so efforts to eliminate or reduce traffic congestion are essential. The elimination and mitigation of traffic congestion on highways is a factor in reducing traffic accidents and fatalities. In recent years, with the improvement of computing capabilities, research on traffic congestion reduction and mitigation has been conducted using traffic simulation. Traffic simulation allows us to reproduce and evaluate traffic phenomena that occur on roads on a computer. The Kakuto Tunnel is located on the border between Ebino City in Miyazaki Prefecture and Hitoyoshi City in Kumamoto Prefecture. The Kakuto Tunnel has insufficient traffic capacity and is frequently congested on holidays. In this study, we created a traffic simulator assuming the Kakuto Tunnel. In the simulation, we examined the effectiveness of increasing the number of lanes as a method of reducing traffic congestion.

MTCS: A Method of Analyzing the Traffic Capacity of Urban Bus Lane Based on Vissim Simulation

As an effective method of improving the attractiveness of urban public transport and alleviating urban traffic congestion, bus lanes play an important role in the urban public transport system. The research on the capacity of bus lanes is conducive to improve the operation efficiency of urban bus roads and improve the service level of urban public transport. To obtain the maximum capacity of the bus lane, on one hand, the empirical formula can be used for theoretical calculation, and on the other hand, the simulation model can be established for analysis and verification. Based on the idea of simulation, a method using Vissim is proposed, called MTCS (Minimum Traffic Capacity Substitution Method). The method divides the bus lane into different sections by intersections and stops, establishes simulation model of the bus lane to calculate the traffic capacity of each section such as vehicle speed and flow and select the minimum traffic capacity of the sections as the traffic capacity of the bus lane, which is verified by using the road saturation. The simulation process uses the actual travel speed and traffic flow of the bus lane as evaluation indicators, with the aim of maximizing the road traffic flow while the actual speed of vehicles on the road is close to the desired speed, thus achieving the desired road traffic state. To verify and improve the effectiveness of the method, its analysis results are compared with the empirical formula, and various methods of enhancing traffic capacity are quantitatively simulated. The parameters of the simulation model are set by the actual bus lane example, and the experimental results show that by the methods of modifying the stop-station mode and the signal-lamp cycle, 10% and 14% improvements can be achieved, respectively. This has a good reference value for the construction of bus lanes and the adjustment of road facilities.

Enhancing traffic capacity for multilayer networks by link rewiring

The traffic dynamics of complex networks is closely related to network structure. By changing network structure, the traffic dynamics behavior can be optimized. Faced with the network congestion problem, we focus on the relationship between network traffic capacity and its structure. The multilayer networks are studied, which are composed of high-speed and low-speed layers. A link rewiring strategy is proposed to change the low-speed layer structure and improve the network traffic capacity. Compared with the random link rewiring strategy, the purposeful link rewiring strategy can improve network traffic capacity. A large number of simulations are carried out under the effective traffic-flow assignment strategy to prove the effectiveness of the link rewiring strategy. This strategy improves packet transmission efficiency of low-speed layer, and reduces the average length of effective path, which indicates that adjustment of low-speed layer structure can improve traffic capacity of multilayer networks.