Mixed Global and Local Assignment Algorithms for Quasi-Dynamic Local Truckload Trucking Operations with Strict Time Windows

2000 ◽  
Vol 1733 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Amelia C. Regan ◽  
Sreeram Jagannathan ◽  
Xiubin Wang
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Simulation Model ◽  
Time Windows ◽  
A Priori ◽  
Optimization Techniques ◽  
Trade Offs ◽  
Drayage Operations ◽  
Global And Local ◽  
Local Assignment

Examined are the trade-offs associated with local and global, but myopic, assignment heuristics for local truckload trucking operations such as those associated with drayage operations near intermodal facilities. These operations involve a combination of loads that are known at the beginning of the day and those that arrive dynamically throughout the day. Some of the dynamically arriving loads are revenue-generating moves, and others are trailer, chassis, or container repositioning moves. Because a significant fraction of the day’s loads are known a priori, dispatchers would like to be able to construct schedules for the day and then to make minor changes to these schedules as the day progresses. The efficiency of an operation in which new loads are added to or appended to schedules constructed at the start of the day versus one in which the whole system is reoptimized several times during the day is examined. The reoptimization method does not seek to preserve current schedules, but the local optimization techniques do. Solutions were examined with a geographic information system-based simulation model developed for this purpose.

scholarly journals Three-Dimensional Visualization Algorithm Simulation of Construction Management Based on GIS and VR Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuhong Xu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Simulation Model ◽  
Line Drawing ◽  
Three Dimensional ◽  
Texture Mapping ◽  
Geographic Information ◽  
Maintenance Management ◽  
Operation And Maintenance ◽  
Wide Range

With the development and application of information technology, the digitization of information management and the virtualization of physical models have become very important technical application fields in the world. The establishment of the 3D landscape model and the realization of the 3D geographic information system (GIS) are based on this, and there is not only a wide range of development prospects in many aspects such as urban planning and management, planning and design, local government construction, housing industry development, land monitoring and management, and environmental monitoring and evaluation. There are not only research studies and formulations but also a practical significance in other analysis, evaluation, decision making, and other departments. In recent years, the research of 3D city modeling has been developed rapidly, and most of the existing 2D-GIS can be transformed into 3D visual landscape. Based on the three-dimensional geographic information system and desktop drawing software AutoCAD, this paper takes the two-dimensional line drawing (DLG) of a residential district as the base map, expounds the design process of the three-dimensional simulation model of the urban community from the aspects of map preprocessing, building simulation model construction, texture mapping, and virtual visualization, and discusses the problems encountered in it. The main contributions of this paper are that this technology puts forward a new solution for the integrated corridor operation and maintenance management, greatly improves the intelligent management level of the integrated corridor operation and maintenance work, and simplifies the complex integrated corridor operation and maintenance management. It is helpful to improve the work efficiency of operation and maintenance, reduce the dependence of personnel, and respond to the long-term construction needs of the smart city at the same time.

scholarly journals Geographic information system methods tell spatiotemporal transmission and its drivers of COVID-19 in Wuhan, China at street-level

2020 ◽  
Author(s):  
Wei Liu ◽  
Wongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Urban Areas ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Geographic Information ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Global And Local

Abstract Background: No study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors.Methods: Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods.Results: We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed an obvious global aggregation and a local aggregation in central urban areas, but such aggregations was decreased in the later period of the epidemic. In addition, the analysis at streets-level suggested population density and the number of hospitals were influence factors of spatial difference.Conclusions: The epidemic situation showed obvious global and local spatial aggregations. High population density and directional flow of the Population to hospitals may account for the aggregations. Strong quarantine measures and restrictions on movement of residents in Wuhan make the epidemic under control in a short time.

scholarly journals Determination of Biomass Power Plant Location Using GIS-Based Heuristic Methods: A Case Study in Turkey

2022 ◽  
Author(s):  
Adem AKGÜL ◽  
Serap Seçkiner
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Geographic Information System ◽  
Power Plant ◽  
Power Plants ◽  
Simulated Annealing Algorithm ◽  
Geographic Information ◽  
Supply Chain Design ◽  
Plant Location ◽  
Trade Offs

Abstract Biomass conversion to bioenergy has always been necessary to ensure the most efficient use of the limited biomass resource and enable economic viability. Evaluating biomass transportation cost, electricity transmission cost and heat transferring cost between power plant location/s and supply/demand points and selection of an optimum power plant capacity is an important issue for a robust supply chain design. In this study, we employed designing optimum biomass to the bioenergy supply chain for agricultural activities using Geographic Information System and Simulated Annealing algorithm to overcome a real-world problem in Bismil District of Diyarbakır/Turkey. Our goal is to define a potential investment location/s on the trigeneration system by comparing the trade-offs between the raw material/end-product transportation costs and facility/s and pipeline installation costs. To determine possible locations for power plants, distance matrices were retrieved from suitable candidate power plant locations and agricultural parcel, settlement and the nearest high voltage electricity line from the Geographic Information System. The results showed that establishing one power plant is feasible. The net present value of a potential investment is almost 260 million Euros and the re-payment period is 1.33 years.

scholarly journals Laws of Geography

2018 ◽  
Author(s):  
Michael Leitner ◽  
Philip Glasner ◽  
Ourania Kounadi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Autocorrelation ◽  
Statistical Methods ◽  
Spatial Interpolation ◽  
Main Part ◽  
Crime Analysis ◽  
Geospatial Technology ◽  
Cold Spots ◽  
Global And Local

The most prominent law in geography is Tobler’s first law (TFL) of geography, which states that “everything is related to everything else, but near things are more related than distant things.” No other law in geography has received more attention than TFL. It is important because many spatial statistical methods have been developed since its publication and, especially since the advent of geographic information system (GIS) and geospatial technology, have been conceptually based on it. These methods include global and local indicators of spatial autocorrelation (SA), spatial and spatial-temporal hotspots and cold spots, and spatial interpolation. All of these are highly relevant to spatial crime analysis, modeling, and mapping and will be discussed in the main part of this text.

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