Heuristic game-theoretic equilibrium establishment with application to task distribution among agents in spatial networks

Vahidnia, Mohammad H.; Vafaeinejad, Alireza; Shafiei, Maryam

doi:10.1080/14498596.2017.1395773

Cited by 11 publications

(6 citation statements)

References 26 publications

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“…In the analysis of the severity of the events, they investigated three indicators of severity, the number of deaths, and the number of property damage, using the two methods and identified the main component of these factors and their effects (Zong et al, 2013). Vahidnia, Vafaeinejad and Shafiei (2019) investigated for solving the problem in discrete spaces. Several experiments were conducted and perfectly acceptable convergence, accuracy, performance and stability were observed using this approach (Vahidnia et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Vahidnia, Vafaeinejad and Shafiei (2019) investigated for solving the problem in discrete spaces. Several experiments were conducted and perfectly acceptable convergence, accuracy, performance and stability were observed using this approach (Vahidnia et al, 2019). Singh, Sachdeva and Pal (2016) studied road traffic accidents in five models during a period of 2 to 6 years on various sections of the eight national highways and the Indian Haryana (220 data) (Singh et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Traffic Collision Time Series Analysis (A Case Study of Karaj–qazvin Freeway)

Sanayei

Vafainejad

Karami

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The application of Auto-correlation Function (ACF) and Partial Auto-correlation Function (PACF) in recent years has been improved in analyzing big traffic data, modelling traffic collisions and decreasing processing time in finding collision patterns. Accident prediction models for short and long time can help in designing and programming traffic plans and decreasing road accidents. Based on the above details, in this paper, the Karaj-Qazvin highway accident data (1097 samples) and its patterns from 2009 to 2013 have been analyzed using time series methods.In the first step, using auto correlation function (ACF) and partial auto correlation function (PACF), the rank of time series model supposed to be autoregressive (AR) model and in the second stage, its coefficients were found. In order to extract the accident data, ArcGIS software was run. Furthermore, MATLAB software was used to find the model rank and its coefficients. In addition, Stata SE software was used for statistical analysis. The simulation results showed that on the weekly scale, based on the trend and periodic pattern of data, the model type and rank, ACF and PACF values, an accurate weekly hybrid model (time series and PACF) of an accident can be created. Based on simulation results, the investigated model predicts the number of accident using two prior week data with the Root Mean Square Error (RMSE) equal to three.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Traffic Collision Time Series Analysis (A Case Study of Karaj–qazvin Freeway)

Sanayei

Vafainejad

Karami

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Location-allocation analysis seeks to find optimal locations for facilities and optimal allocation of demands to facilities in GIS. Nowadays, GIS technologies are highly acceptable in the world (Vafaeinejad, 2018), and they are used in various applications (Vafaeinejad, 2017) and (Vahidnia et al, 2019). In GIS, location-location analysis has various models.…”

Section: Problem Statementmentioning

confidence: 99%

Investigating the Effect of Capacity Criterion on the Optimal Allocation of Emergency Facilities in Gis Environment

Bolouri

Vafaeinejad

Alesheikh

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Location-allocation analysis is one of the most GIS useful analysis, especially in allocating demands to facilities. One of these facilities is the fire stations, which the correct locations and optimal demand allocations to those have most importance. Each facility has a specific capacity that should be considered in locating the facilities and allocating the demand to those. In recent years, the use of unified models in solving allocation problems is too common because these models can solve a variety of problems, but in most of these models, the capacity criterion for facilities has been ignored. The present study tries to investigate the location-allocation problem of the fire stations with the aid of two Tabu and Genetic algorithms with the goal of maximizing the coverage using the (Vector Assignment Ordered Median Problem) VAOMP model, taking into account the capacity criterion and regardless of it. The results of using two algorithms in problem-solving show that the Genetic algorithm produces better quality solutions over a shorter time. Also, considering the capacity criterion that brings the problem closer to real-world space, in the study area, 59,640 demands will not be covered by any station within a 5-minute radius and will be highly vulnerable to potential hazards. Also, by adding 3 stations to the existing stations and re-allocating, the average of allocated demands with the help of Genetic was 93.39% and 92.74% for the Tabu algorithm. So it is necessary to consider the capacity of the facilities for optimal services.

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“…In 2019 Youngchul Shin et al, improved post-crisis transportation by integrating Ant colony algorithm and linear planning (Shin et al 2019) and Vahidnia et al, had distributed tasks in spatial networks using a game theory (Vahidnia, 2019). In 2018, Haowei Zhang et al, introduced the entropy-based PSO algorithm for the task scheduling problem (Zhang et al 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a Context-Aware Recommender System in the Optimization of the Relief and Rescue

Bahrami

Argany

Samani

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The context-aware is the knowledge that leads to better cognition and recognition of the environment, objects and factors, and the way of communication and interactions between them. As a result, it can have a great impact in providing appropriate solutions to various problems. It is possible to integrate consciousness into relief and rescue discussions and to take steps to improve and make realistic solutions. In this study, this issue was addressed in the earthquake crisis, due to a large number of seismic faults in Iran, is one of the major crises in Iran and many parts of the world. Hence, the contexts of rescuers, teams, and environment as the main textures in the above-mentioned issue are investigated and their relationship with each other and the priorities of activities and locations by identifying specialties and the physical and situational conditions of the relief workers, and an algorithm was designed and optimized to optimize the allocation of the relief workers to the affected areas and the necessary activities. Finally, the improvement of the 2.4 fold results of the algorithm and the proposed structure of this research resulted in the ratio of non-use of this algorithm.

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Heuristic game-theoretic equilibrium establishment with application to task distribution among agents in spatial networks

Cited by 11 publications

References 26 publications

Traffic Collision Time Series Analysis (A Case Study of Karaj–qazvin Freeway)

Traffic Collision Time Series Analysis (A Case Study of Karaj–qazvin Freeway)

Investigating the Effect of Capacity Criterion on the Optimal Allocation of Emergency Facilities in Gis Environment

Designing a Context-Aware Recommender System in the Optimization of the Relief and Rescue

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