Hasil Pencarian  ::  Simpan CSV :: Kembali

"As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models. This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.;As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models. This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas."

"Teknologi Long Range Wide Area Network (LoRaWAN) yang sangat pesat untuk sistem Internet of Things (IoT) tidak dapat disangkal karena komunikasi nirkabel Low Power Wide Area Network (LPWAN) memimpin dalam skalabilitas, masa pakai, kapasitas, biaya, dan jarak transmisi. Salah satu potensi implementasi adalah pengamatan pada patok perbatasan darat Indonesia dengan negara tetangga, pada pengamatan saat ini dilakukan dengan secara patroli dan tidak diperbarui secara real-time. Penggunaan teknologi LoRaWAN dapat memberikan peningkatan efisiensi dan efektivitas dibandingkan dengan metode yang digunakan sebelumnya, terutama karena karakteristik LoRaWAN yang memungkinkan transmisi data dalam jarak yang jauh dengan konsumsi energi yang rendah. Namun, penting untuk melakukan konfigurasi jaringan yang tepat agar proses pertukaran paket data dapat berlangsung dengan semua node terhubung dengan konsumsi energi yang rendah. Menemukan konfigurasi yang optimal untuk mencapai hasil maksimal dari protokol transmisi LoRa merupakan langkah yang tidak terpisahkan sebelum penerapan dilakukan. Dari hasil simulasi diperoleh efisien energi distribusi yang berifat random uniform centered kombinasi optimal antara jumlah virtual ring dan kluster adalah 3 ring dan 6 ring, nilai bebas atau merata dari Circular arc 2 sampai dengan Circular arc 8 dan memiliki konsumsi energi terendah sebesar 0,56 mJ menggunakan skema routing Next Ring Hop (NRH) dengan critical ring 1.

---

The fast-paced Long Range Wide Area Network (LoRaWAN) technology for Internet of Things (IoT) systems is undeniable as Low Power Wide Area Network (LPWAN) wireless communications leads the way in scalability, lifetime, capacity, cost, and transmission distance. One of the potential applications is observation at Indonesia's land border with neighboring countries, currently observations are carried out by patrol and are not updated in real-time. The use of LoRaWAN technology can provide increased efficiency and effectiveness compared to the methods previously used, mainly due to the characteristics of LoRaWAN which enable data transmission over long distances with low energy consumption. However, it is important to do the right network configuration so that the process of exchanging data packets can take place with all connected nodes with low energy consumption. Finding the optimal configuration to get the most out of the LoRa transmission protocol is an integral step prior to implementation. From the simulation results obtained efficient energy distribution which is random uniform centered the optimal combination between the number of virtual rings and clusters is 3 rings and 6 rings, the value is free or evenly distributed from Circular arc 2 to Circular arc 8 and has the lowest energy consumption of 0.56 mJ using the Next Ring Hop (NRH) routing scheme with critical ring 1."

"Summary"City Logistics: Mapping The Future examines the key concepts of city logistics along with the associated implementation issues, methodologies, and policy measures. Chronicling the growth of city logistics as a discipline and how planning and policy have improved practice over the last ten years, it details the technologies, policies, and plans that can reduce traffic congestion, environmental impact, and the cost of logistics activities in urban freight transportation systems.The book provides a comprehensive study of the modelling, planning, and evaluation of urban freight transport. It includes case studies from the US, UK, Netherlands, Japan, South Africa, and Australia that illustrate the experiences of cities that have already implemented city logistics, including the methods used to solve the complex issues relating to urban freight transport.Presents procedures for evaluating city logistics policy measuresProvides an overview of intelligent transport systems in city logisticsHighlights the essential features of joint delivery systems and off-hour delivery programsSupplies an overview of access restrictions and regulations related to city logistics in urban areasExpert contributors from major cities around the world discuss regional developments, share success stories and personal experiences, and highlight emerging trends in urban logistics. Coverage includes mathematical modeling, public policy planning and implementation, logistics in urban planning designs, and urban distribution centers.The book examines the impact of recent advancements in technology on city logistics, including information and communication technologies, intelligent transport systems, and GPS. It also considers future directions in city logistics, including humanitarian logistics, alternative transport modes in co-modality, last kilometer deliveries, partnerships between public and private sectors, alternative fuel vehicles, and emerging technologies such as 3D printing""

"Penelitian ini bertujuan menemukan rute logistik yang optimum dari segi biaya dan emisi dengan menggunakan kendaraan listrik dan konvensional dan mempertimbangkan kemacetan untuk mendapatkan pemahaman praktis sebelum melakukan investasi kendaraan listrik. Untuk melakukan analisis, pertama model matematis dengan fungsi tujuan untuk meminimumkan biaya dan emisi menggunakan data sampel jaringan distribusi dengan 20 titik dijalankan pada 4 situasi lalu lintas; lancar, normal, sibuk pada waktu tertentu, dan sibuk, serta 3 situasi kendaraan; listrik saja, konvensional saja, dan campuran. Hasil kemudian dianalisis untuk menilai trade-off dan ditemukan bahwa pada seluruh situasi mendukung penggunaan kendaraan listrik karena lebih unggul secara biaya dan emisi. 

---

This study aims to find an optimum route in terms of cost and emission using electric and conventional vehicles considering a congested road situation to gain a practical understanding for the feasibility to shift into electric vehicles. To conduct the analysis, a mathematical optimization model with the objective of minimizing cost and emission using sample distribution network data with 20 nodes is first run upon 4 traffic situations; empty, normal, congested at certain times, and highly congested, as well as 3 vehicle scenarios; only electric, only conventional, and mixed. The result is then analyzed to assess the trade-off and it was found that every situation favors the use of electric vehicles as it is superior in efficiency of cost and emission. "

"Vehicle routing problem (VRP) merupakan aplikasi dari optimasi kombinatorial untuk menentukan sejumlah rute yang diawali dan diakhiri di suatu tempat. Permasalahan pengelolaan pengangkutan sampah merupakan bagian yang sangat penting dalam menjaga estetika dan kenyamanan suatu kota maupun wilayah. Provinsi Sumatera Utara sendiri merupakan salah satu provinsi di Indonesia penghasil timbunan sampah, dimana wilayah pada provinsi tersebut yang memiliki rasio produksi sampah harian per penduduk tertinggi adalah di Kota Pematangsiantar sebanyak 0,83 kg/hari per penduduk yang tentunya akan mengakibatkan tingginya angka timbunan sampah harian. Tingginya angka timbunan sampah tentunya harus di imbangi dengan baiknya pelayanan pengangkutan keseluruhan sampah yang ada di suatu wilayah. Penelitian ini bertujuan untuk mendapatkan rute kendaraan untuk distribusi pengangkutan sampah dengan meminimalkan waktu tempuh yang optimal untuk distribusi tersebut. Dengan menggunakan vehicle routing problem diperoleh 43 rute untuk 34 unit kendaraan pengangkut sampah, dengan total timbunan sampah 183,1 m3/hari dan total waktu operasional 4608 menit

---

The Vehicle Routing Problem is an application of combinatorial optimization to determine a number of routes that start and end at one place. The problem of managing waste transportation is a very important part in maintaining the aesthetics and comfort of a city or region. North Sumatra Province itself is one of the provinces in Indonesia that produces waste piles, where the area in the province that has the highest daily waste production ratio per resident is Pematangsiantar City as much as 0.83 kg/day per resident which of course will result in high daily waste accumulation rates. The high number of landfills must of course be balanced with good transportation services for the entire waste in an area. This study aims to obtain vehicle routes for the distribution of waste transportation by minimizing the optimal travel time for the distribution. By using the Vehicle Routing Problem, 43 routes were obtained for 34 units of garbage transporting vehicles, with a total waste pile of 183.1 m3/day and a total operational time of 4608 minutes"

"Nowadays, severe flooding frequently occurs in various parts of Thailand resulted from changesin climatic condition and land use patterns. The flooding has caused great damages to propertiesand lives and affects country economy. Experience from the most severe flooding in the northernand central regions of Thailand in the year 2011 reveals that reliable flood warning system is stilllagging. For flood warning purpose, it is necessary to have an accurate flood routing system. Thisstudy is aimed at developing mathematical models for flood routing so as to provide data for floodwarning. Two different models are developed, i.e., kinematic overland flow model and kinematicstream flow model. The finite element method with Galerkin’s weighted residual technique is usedin model development. The second order Runge-Kutta method is applied to solve the set ofdifferential equations obtained from finite element formulation. The developed models are appliedto simulate flows in the Wang river basin in the northern region of Thailand during July 1 -October 31, 2011 when severe flooding occurred in this region. Model calibration is made byadjusting some parameters in the models and comparing the obtained results with measured datarecorded by RID at 5 stream flow gauge stations along the Wang river. For correlation analysis.three statistical indices are determined, these include coefficient of determination, R2, Nash-Sutcliffe model efficiency coefficient, NSE, and coefficient of variation of the root mean squareerror, CV(RMSE). It is found that the model results at the upstream portion of the riversatisfactorily agree with the observed data, with the values of R2 greater than 0.55 and CV(RMSE)less than 0.57. For the downstream portion of the river, there are remarkable differences betweenthe model results and the observed data. The values of R2 are less than 0.35, CV(RMSE) greaterthan 0.76, and the NSE values are less than 0.16. This might be due to some errors in the inputdata, including rainfall pattern, topography, land use, river cross-sectional area, and water seepagealong the river. More detailed field investigation and model calibration are still needed."