Amount Of Traffic Flow Research Articles

Analisis Volume Lalu Lintas Pada Simpang Bersinyal Studi Kasus Persimpangan Jl. Rajawali – Jl. Hiu Putih Di Kota Palangka Raya

Crossroads are nodes in the road network where road segments meet and vehicle traffic trajectories intersect. At the intersection of Jl. Rajawali – Jl. Hiu Putih, traffic flow during peak hours will increase so it needs to be handled. The purpose of this study was to determine the traffic volume at the signalized intersection at Jl. Rajawali – Jl. Hiu Putih which will later be useful as information needed for the planning, design, management and operation phases of the road. The research method used is a direct survey in the field to obtain primary data in the form of road geometry, environmental conditions, and traffic volume. Secondary data is in the form of a map of field conditions around the intersection, and population data. Data collection was carried out for one week from Monday 05 September 2022 to Sunday 11 September 2022. The data taken was in the form of road width and the amount of traffic flow at each intersection. The research results obtained are the highest traffic volume at the intersection of four Jl. Rajawali – Jl. Hiu Putih is on Friday (north) approach of 256 lvu/hour, on Sunday (east) approach of 238 lvu/hour, on Monday (south) approach of 299 lvu/hour and on Thursday (west) approach of 142 lvu/hour. This data is used as an analysis to determine traffic volume. Data were analyzed using the Indonesian Road Capacity Guidelines (PKJI) 2014.

The effect of one-way aisles on retail layout

As part of the initiative to prevent the spread of the novel coronavirus (COVID–19), many retailers implemented one-way aisles in their stores. Moreover, the retailing research literature has shown a significant positive relationship between the distance that shoppers travel within the store and their resulting unplanned purchases. To evaluate the effect that one-way aisles have on the amount of traffic flow in the store, we use the traveling salesperson problem to determine the increase in distance traveled as well as the increase in the area within the store that is covered by the shopper. Overall, our results indicate that shoppers may travel 50 percent further with one-way traffic and cover an additional 67 percent of the store area, a significant increase in the amount of product and in-store stimuli exposed to the customer. We also present other advantages and disadvantages of the continued use of one-way aisles after the pandemic subsides.

Моделирование крупнейшей в мире железнодорожной сортировочной станции с использованием теории массового обслуживания

The problem of scenario forecasting of the operation of railway stations in the conditions of changing traffic flow is considered. An approach to modeling based on the use of the queuing theory apparatus is proposed, which allows taking into account the presence of significant random impacts on the system operation. The largest railway marshalling yard in the world - Bailey Yard (Nebraska, USA) was chosen as the object. The article presents a mathematical model of its operation in the form of a queuing network, in which, unlike queuing systems, branching and circular movement of applications are allowed. This allows you to display various routes of the movement of cars in the structure of the station. To describe several incoming transport flows, a BMAP stream (Branch Markovian Arrival Process) is used, so it is possible to take into account the parameters of each of them. Analytical results for such mathematical objects are not known, so the model is studied numerically. The amount of traffic flow varies in a series of experiments. Based on the results obtained, the current and maximum capacity of the station, «bottlenecks» in its structure are determined and recommendations are developed to improve the efficiency of its operation.

A Study of Hindrance-Caused Unscheduled Waiting Time in Railway Systems

In real operation, railway traffic always deviates from schedule due to exogenous disturbances and disruptions, and these deviations may cause a domino effect over the whole network. Therefore, evaluating and predicting the influence of these disturbances is of significance in train operation and dispatching. Delay is a commonly used performance indicator to describe degree of these deviations, and it may propagate to other trains. The main cause of delay is the overtime occupation on exclusive blocks. However, hindrance, which evaluates the performance of railway operation from the perspective of infrastructure occupancy, is seldom studied. In this paper, a systematical description and calculation of hindrance in railway systems is introduced from the perspective of infrastructure occupancy based on blocking time theory. The railway network was modeled as several exclusive components with running directions. Based on the precedence order and length of occupancy on conflicting infrastructure components, a sequential hindrance propagation process was identified. The proposed methods were demonstrated through the case of a reference network based on railway simulations. A relationship between the overall influence of hindrance and the length of hindrance was investigated for each infrastructure component, using statistical techniques. The results proved a clear positive relationship between the overall influence of a hindrance and its length. In addition, this relationship is affected by the location of infrastructure and amount of traffic flow in the network.

PM2.5 concentrations in the greenbelt near the Lin’an toll station of the Hang Rui expressway and related influencing factors

Expressways in China are developing rapidly, as is traffic pollution, which is one of the major sources of urban pollution. In this study, we chose the greenbelt in the idle zone near the Lin’an toll station along the Hang Rui expressway as our sampling area. Five points in the sampling area along Qianjin road were marked vertically at distances of 0, 15, 30, 45 and 60 m to monitor concentrations of PM2.5 and learn the varying patterns of these concentrations and influencing factors. The results showed that in spring (March, April and May), the average PM2.5 concentrations in the greenbelt were 32.56 ± 22.51, 77.71 ± 32.11 and 64.15 ± 29.00 μg m–3, respectively. The ranking of concentrations at different monitoring points in the same period was 0 > 15 > 60 > 30 > 45 m. The average concentrations in winter (November and December 2017, and February 2018) were 33.56 ± 9.34, 60.78 ± 17.67 and 124.71 ± 43.19 μg m–3, respectively. However, the ranking of concentrations at different monitoring points in the same period revealed some differences. Except at 0 m, the concentrations of PM2.5 in the other four positions were higher in winter than in spring. The reduction rate at 45 m reached its maximum in both spring and winter. PM2.5 concentrations were significantly correlated with meteorological factors, the structure of the plant community and traffic flow. PM2.5 concentrations were negatively correlated with temperature, positively correlated with relative humidity and was not significantly correlated with wind speed. The correlations of PM2.5 concentrations with the canopy density and degree of porosity differed greatly due to different seasons, and concentrations were significantly correlated with the amount of traffic flow, especially when there were large trucks.

EVALUASI KINERJA RUAS JALAN TERHADAP PERKEMBANGAN KEGIATAN PERDAGANGAN DAN JASA DI RUAS JALAN YOSODIPURO, KOTA SURAKARTA

<p><em>: </em>Jalan Yosodipuro<em> </em><em>is a local path that connects the city of Surakarta to downtown. </em>Jalan Yosodipuro<em> </em><em>is </em><em>a strategic area close to the main line of Surakarta City, Jalan Slamet Riyadi.</em><em> </em><em>The development of economic activity in th</em><em>is</em><em> streets </em><em>has </em><em>began since the construction of a Mall that Solo Paragon Mall. As trade and service area began to grow, commercial activities dominate land use along the road Yosodipuro complement previous activities: education and housing. Means of trade and services in the form of a shop and even the development of the home into a place of business functions are often found along </em>Jalan Yosodipuro<em>. The high activity in this region causes the amount of movement of the vehicle is not able to be accommodated by the existing road capacity.</em></p><p><em>To overcome this problem researchers conducted a study on the evaluation of the performance of the road to the development of trading activities and services. The analytical method used in this study is the analysis of the development of trade and services activities include the development of the number of business units, floor area, extensive land use and range of activities. Analysis of changes in the performance of roads which include changes in the flow of vehicles, number of occurrences side barriers, and the capacity of the road and analysis croosstab. From the overall results of analysis show that the activity of trade and services in the Yosodipuro Road experienced growth from 2010 - 2014. The development of trade and services activities cause a disturbance in the traffic activity in Yosodipuro Road. From the research that has been conducted found that the development of trade and services activities in road Yosodipuro large influence on changes in the side barrier and the amount of traffic flow, as well as the effect being to change the capacity of the road.</em></p><p><em> </em></p><p><strong><em>Keywords:</em></strong><strong><em> </em></strong><em>Degree of Saturation</em><em>, </em><em>Levels of Service,</em><em> </em><em>Road</em><em></em></p>

Global Versus Essential Post-Disaster Re-Provisioning in Telecom Mesh Networks

Telecommunication networks face large-scale threats, such as natural disasters (earthquake, hurricane, tsunami, etc.) and targeted attacks (weapons of mass destruction). These disasters may simultaneously destroy many network components (nodes and/or links) and cause multi-failure events. Although existing protection schemes can handle some given multi-failure scenarios, it is extremely challenging to solve all possible disaster-failure scenarios with reasonable resource costs and a 100% reliability guarantee. In this paper, we investigate postdisaster restoration strategies for telecom backbone mesh networks (such as wavelength-division multiplexed networks), whose objective is two-fold: to maintain network connectivity (i.e., guarantee a minimal degree of service for the survived connections) and to maximize the traffic flow in the post-disaster network. We study three postdisaster re-provisioning schemes employing different policies for connection rerouting and admissible bandwidth degradation (i.e., provisioning partial bandwidth). These schemes, whose services range from essential to global post-disaster re-provisioning, are the no-degradation reprovisioning (NDR) scheme, the degradation-as-needed re-provisioning (DAN) scheme, and the fairness-aware degradation re-provisioning (FAD) scheme. Corresponding mixed integer linear program models are developed and applied on two representative mesh topologies. Numerical results show that NDR can effectively decrease the connection loss ratio by rerouting some survived connections. However, both DAN and FAD can achieve optimal performance on maintaining connectivity even without rerouting any survived connections. DAN outperforms the other schemes in terms of traffic loss ratio, but it may cause a large difference between the maximum and minimum degradation ratios. FAD can improve the performance in terms of traffic loss ratio by rerouting a few survived connections. In particular, compared with DAN, FAD can provide balanced bandwidth degradation for all connections by sacrificing a certain amount of traffic flow, but avoiding extreme deterioration of the bandwidth capacity on some connections.

Proposal and Performance Evaluation of a Multicast Routing Protocol for Wireless Mesh Networks Based on Network Load

Wireless Mesh Networks (WMNs) can provide wide range Wireless Local Area Networks (WLANs) area by connecting Access Points (APs) of WLANs with each other using radio communications. A routing protocol is very important to keep communication quality over radio multihop communications because radio waves are impacted much by surrounding environment. When we use multiuser shared applications like a video conference and an IP phone, it is predicted that large amount of traffic flows on network. Therefore, we should consider network loads to use these applications. In this paper, we propose a multicast routing protocol for WMNs which considers network loads and hop count. Furthermore, we evaluate performance by simulation. In the simulation results, we show that the proposed protocol has better performance than a conventional protocol (MAODV) at high loaded scenario.