scholarly journals Reliable Path Selection Problem in Uncertain Traffic Network after Natural Disaster

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Jing Wang ◽  
Jianming Zhu ◽  
Haoxiong Yang
Keyword(s):  
Natural Disaster ◽  
Large Scale ◽  
Path Selection ◽  
Selection Model ◽  
Selection Problem ◽  
Traffic Network ◽  
Traffic Networks ◽  
Connection Probability ◽  
Reliable Path

After natural disaster, especially for large-scale disasters and affected areas, vast relief materials are often needed. In the meantime, the traffic networks are always of uncertainty because of the disaster. In this paper, we assume that the edges in the network are either connected or blocked, and the connection probability of each edge is known. In order to ensure the arrival of these supplies at the affected areas, it is important to select a reliable path. A reliable path selection model is formulated, and two algorithms for solving this model are presented. Then, adjustable reliable path selection model is proposed when the edge of the selected reliable path is broken. And the corresponding algorithms are shown to be efficient both theoretically and numerically.

scholarly journals The path selection model of emergency logistics based on cumulative prospect theory

2019 ◽  
Vol 136 ◽  
pp. 04067 ◽  
Author(s):  
Yihua Wang ◽  
Mengke Yang ◽  
Xiaoguang Zhou
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Large Scale ◽  
Risk Attitude ◽  
Cumulative Prospect Theory ◽  
Path Selection ◽  
Selection Model ◽  
Final Decision ◽  
Emergency Logistics ◽  
The Impact

In recent years, sudden natural disasters occur frequently. Typical emergencies have the characteristics of great uncertainty, large-scale casualty risk, time pressure and urgency, which have a series of serious and sustained impacts on people's production and life. Therefore, after the emergencies, emergency rescue is particularly important for disaster-stricken areas, and the decision-making of emergency logistics is an important part of it. At present, the research on emergency logistics in China focuses on the shortest distribution time, multi-objective decision-making, dynamic path planning, and operational research. It is believed that people are completely rational in making decisions, ignoring people's subjective factors and risk attitudes. From the perspective of decision-makers' risk attitude, this paper studies people's decision-making bias under the condition of incomplete rationality. Based on previous studies, this paper determines the value coefficient and weight coefficient, and according to the characteristics of emergency logistics, time is selected as the reference point., and A path selection model based on cumulative prospect theory is established. According to the risk attitude, the decision maker is divided into risk preference type and risk avoidance type. Based on the established model, an example is simulated, and the parameters in the model are simulated, and the impact of risk attitude and parameter changes on the final decision-making is analyzed. The simulation results show that the cumulative prospect theory is applicable to the study of emergency logistics decision-making mechanism, and the parameter setting will also have an important impact on the path prospect.

Benchmark Comparison of Methods for Approximate Neighborhood Estimation of Road Segments in Large-Scale Traffic Networks

2020 ◽  
Author(s):  
Athanasios I. Salamanis ◽  
George A. Gravvanis ◽  
Christos K. Filelis-Papadopoulos ◽  
Dimitrios Michail
Keyword(s):  
Large Scale ◽  
Traffic Networks ◽  
Comparison Of Methods ◽  
Road Segments

A Low-Fidelity Stochastic Model of Viral Spread in Aircraft to Assess Risk Mitigation Strategies

2021 ◽  
Author(s):  
Leigh McCue
Keyword(s):  
Large Scale ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Traffic Network ◽  
Computationally Efficient ◽  
Passenger Compartment ◽  
Stochastic Effects ◽  
Viral Spread ◽  
Risk Mitigation Strategies ◽  
Baseline Health

Abstract The purpose of this work is to develop a computationally efficient model of viral spread that can be utilized to better understand influences of stochastic factors on a large-scale system - such as the air traffic network. A particle-based model of passengers and seats aboard a single-cabin 737-800 is developed for use as a demonstration of concept on tracking the propagation of a virus through the aircraft's passenger compartment over multiple flights. The model is sufficiently computationally efficient so as to be viable for Monte Carlo simulation to capture various stochastic effects, such as number of passengers, number of initially sick passengers, seating locations of passengers, and baseline health of each passenger. The computational tool is then exercised in demonstration for assessing risk mitigation of intervention strategies, such as passenger-driven cleaning of seating environments and elimination of middle seating.

scholarly journals Methods for division of road traffic network for distributed simulation performed on heterogeneous clusters

2013 ◽  
Vol 10 (1) ◽  
pp. 321-348 ◽  
Author(s):  
Tomas Potuzak
Keyword(s):  
Road Traffic ◽  
Distributed Simulation ◽  
Computation Time ◽  
Traffic Network ◽  
Traffic Networks ◽  
Computing Environment ◽  
Heterogeneous Cluster ◽  
Heterogeneous Clusters ◽  
The Road ◽  
Road Traffic Networks

The computer simulation of road traffic is an important tool for control and analysis of road traffic networks. Due to their requirements for computation time (especially for large road traffic networks), many simulators of the road traffic has been adapted for distributed computing environment where combined power of multiple interconnected computers (nodes) is utilized. In this case, the road traffic network is divided into required number of sub-networks, whose simulation is then performed on particular nodes of the distributed computer. The distributed computer can be a homogenous (with nodes of the same computational power) or a heterogeneous cluster (with nodes of various powers). In this paper, we present two methods for road traffic network division for heterogeneous clusters. These methods consider the different computational powers of the particular nodes determined using a benchmark during the road traffic network division.

scholarly journals Desain Rancang Bangun Dapur Umum Portable dalam Penanggulangan Bencana Alam

Panggung ◽  
2017 ◽  
Vol 26 (2) ◽  
Author(s):  
Andi Farid Hidayanto ◽  
Anna - Rulia
Keyword(s):  
Focus Group ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Focus Group Discussion ◽  
Disaster Management ◽  
Large Scale ◽  
Group Discussion ◽  
Soup Kitchen ◽  
Natural Disaster Management ◽  
Blue Print

ABSTRACT Indonesia is a disaster-prone areas. To meet the logistical  needs of the victim  and the officer needed a common kitchen. Common kitchen that is generally in the form of tents, buildings used as shelters, or modified car. Common kitchen there is an emergency nature,  improvise, and how far from the disaster site. These problems need to design a common kitchen for natural disaster management,  which can meet the needs, the officer and the victim. In designing  methods Pahl and Beitz with steps Planning and explanation  of the task,  design concept,  design forms, and design details. Collecting  data using methods Individual  Questionnaire  and Focus Group Dis- cussion the results obtained attributes  required in the design. Results of the research is a com- mon kitchen design for a natural disaster  are portable, easily assembled and disassembled, can be set  up in various  locations  condition,  easy to operate, able to accommodate facilities  and needs. Common  kitchen  design  produced in the form  of large-scale  three-dimensional   model, a blueprint  for the technical  specifications,  and the protoype. Keywords: natural disasters;  design; soup kitchen;  portable.   ABSTRAK Indonesia merupakan daerah rawan bencana. Memenuhi kebutuhan logistik korban dan petugas diperlukan dapur umum. Dapur umum yang ada umumnya berupa tenda peleton, bangunan yang dijadikan posko, atau mobil yang dimodifikasi. Dapur umum yang ada sifatnya darurat, seadanya dan lokasinya jauh dari lokasi bencana. Dari masalah tersebut perlu desain dapur umum untuk penanggulangan bencana alam, yang bisa memenuhi kebutuhan, baik petugas maupun korban. Dalam mendesain menggunakan metode Pahl dan Beitz dengan langkah-langkah Perencanaan dan penjelasan tugas, Perancangan konsep, Perancangan bentuk, dan Perancangan detail. Pengumpulan data menggunakan metode Individual Questionnaire dan Focus Group Discussion yang hasilnya didapatkan atribut yang diperlukan dalam desain. Hasil dari penelitian berupa desain dapur umum untuk penanggulangan bencana alam yang portable, mudah dirakit dan dibongkar, dan dapat didirikan di lokasi yang beraneka kondisi, mudah dioperasikan, mampu menampung fasilitas dan kebutuhan. Desain dapur umum yang dihasilkan dalam bentuk model tiga dimensi berskala, blue print spesifikasi teknis, dan protoype. Kata kunci: bencana alam, desain, dapur umum, portable.

scholarly journals Experimental Framework to Simulate Rescue Operations after a Natural Disaster

2020 ◽  
Vol 20 (2) ◽  
pp. e07
Author(s):  
Luis Veas Castillo ◽  
Gabriel Ovando-Leon ◽  
Gabriel Astudillo ◽  
Veronica Gil-Costa ◽  
Mauricio Marín
Keyword(s):  
Natural Disaster ◽  
Capacity Planning ◽  
Large Scale ◽  
Web Search ◽  
Computational Simulation ◽  
Real Data ◽  
Data Repository ◽  
Emergency Situations ◽  
Research Areas ◽  
Computational Systems

Computational simulation is a powerful tool for performance evaluation of computational systems. It is useful to make capacity planning of data center clusters, to obtain profiling reports of software applications and to detect bottlenecks. It has been used in different research areas like large scale Web search engines, natural disaster evacuations, computational biology, human behavior and tendency, among many others. However, properly tuning the parameters of the simulators, defining the scenarios to be simulated and collecting the data traces is not an easy task. It is an incremental process which requires constantly comparing the estimated metrics and the flow of simulated actions against real data. In this work, we present an experimental framework designed for the development of large scale simulations of two applications used upon the occurrence of a natural disaster strikes. The first one is a social application aimed to register volunteers and manage emergency campaigns and tasks. The second one is a benchmark application a data repository named MongoDB. The applications are deployed in a distributed platform which combines different technologies like a Proxy, a Containers Orchestrator, Containers and a NoSQL Database. We simulate both applications and the architecture platform. We validate our simulators using real traces collected during simulacrums of emergency situations.

Abstract 19: Using the Heckman Selection Model to Assess Selection Bias in Ischemic Stroke Patients with Documented NIHSS

2015 ◽  
Vol 8 (suppl_2) ◽  
Author(s):  
Michael P Thompson ◽  
Zhehui Luo ◽  
Joseph Gardiner ◽  
James F Burke ◽  
Mathew J Reeves
Keyword(s):  
Ischemic Stroke ◽  
Correlation Coefficient ◽  
Selection Bias ◽  
Large Scale ◽  
Selection Process ◽  
Selection Model ◽  
Stroke Patients ◽  
Heckman Selection Model ◽  
Nihss Score ◽  
Heckman Selection

Objective: Complete documentation in large scale datasets such as administrative data or disease registries is often difficult. Given that the subset of patients with complete data documentation are most likely not a random sample of patients, selection bias threatens the validity of results if a complete case analysis is used. To demonstrate, we will assess the presence and magnitude of selection bias in ischemic stroke patients with documented National Institute of Health Stroke Scale (NIHSS) [[Unable to Display Character: &#8211;]] which is often incomplete [[Unable to Display Character: &#8211;]] using the Heckman Selection Model. Methods: Patient level variables including demographics, comorbidities, clinical EMS and admission variables, and medical history/comorbidities were obtained from 10,717 ischemic stroke patients aged 65 and older in the Michigan Stroke Registry in 2009-2012. The Heckman Selection Model assesses the presence and magnitude of selection bias by estimating a correlation coefficient between error components of a linear regression model predicting patient NIHSS score [[Unable to Display Character: &#8211;]] the outcome model [[Unable to Display Character: &#8211;]] and a binary probit model predicting NIHSS documentation [[Unable to Display Character: &#8211;]] the selection model [[Unable to Display Character: &#8211;]] conditional on patient and hospital predictors. The outcome model predicting NIHSS score was specified using a backward selection process with stepwise deletion of non-significant predictors. The selection model included all variables in the outcome model, plus additional significant predictors of NIHHS documentation. Quasi-maximum likelihood estimation was used to produce robust standard errors. All analyses were done using PROC QLIM procedure in SAS. Results: 7,956 cases (74.2%) of cases had NIHSS documented. Significant predictors in the outcome and selection models are shown in the Table. The Heckman Selection Model found a statistically significant but modest correlation coefficient of ρ =0.1089 (SE=0.0119, p<0.0001). The positive correlation indicates that NIHSS was more likely to be documented in patients with higher NIHSS scores, i.e., more severe strokes. Conclusions: We found statistically significant albeit weak selection bias in the documentation of NIHSS in stroke patients. The Heckman Selection Model is a novel method that can be used to assess the presence and magnitude of selection bias when missing data is common.

Perimeter control for congested areas of a large-scale traffic network: A method against state degradation risk

2020 ◽  
Vol 112 ◽  
pp. 28-45 ◽  
Author(s):  
Heng Ding ◽  
Jingwen Zhou ◽  
Xiaoyan Zheng ◽  
Liangyuan Zhu ◽  
Haijian Bai ◽  
...  
Keyword(s):  
Large Scale ◽  
Traffic Network ◽  
Congested Areas
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