scholarly journals DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR ANALYSIS OF EMERGENCIES ON URBAN TRANSPORT

2021 ◽  
Vol 12 (4) ◽  
pp. 6-18
Author(s):  
Valerii Lakhno ◽  
Borys Husiev ◽  
Andrii Blozva ◽  
Andrii Sahun ◽  
Tetiana Osypova ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network ◽  
A Priori ◽  
Urban Transport ◽  
Urban Street ◽  
The Road ◽  
Emergency Situations ◽  
Transport Problems

The article discusses some aspects of the design of a decision support system (DSS) module during the analysis of major accidents or emergencies in urban transport in large cities, megalopolises, as well as in Smart City. It is shown that the computational core of such a DSS can be based on the methods of cluster analysis (CA). It is shown that the implementation of even basic spacecraft algorithms in the computational core of the DSSS allows an iterative search for optimal solutions to prevent a large number of emergencies in urban transport by establishing characteristic signs of accidents and emergencies and measures of proximity between two objects. It is shown that such a toolkit as DSS can provide all interested parties with a scientifically grounded classification of multidimensional observations, which summarize the set of selected indicators and make it possible to identify internal connections between emergencies in urban transport. The DSS module for analyzing emergencies in urban transport is described. It has been found that to solve such a problem, it is possible to use the "weighted" Euclidean distance in the computational core of the DSS. It is this parameter that makes it possible to take into account the significance of each characteristic of emergency situations in urban transport, which, in turn, will contribute to obtaining reliable analysis results. It is shown that the spacecraft methods can also be in demand when, along with the analysis of emergency situations in urban transport, problems of designing and reconstructing the configurations of urban street-road networks are solved in parallel. This task, in particular, requires an analysis phase (not least using CA methods) in order to minimize unnecessary uncompensated costs in the event of errors in the road network. When solving such a problem, sections of the urban street and road network are analyzed in order to identify problem areas that need reconstruction or redevelopment. The use of CA methods in such conjugate problems is due to the absence of a priori hypotheses regarding the classes that will be obtained as a result.

scholarly journals Penentuan Prioritas Pengambilan Pesanan Barang Oleh Angkutan Kota dengan Metode Rule-Based System

2018 ◽  
Vol 8 (2) ◽  
pp. 81
Author(s):  
Nur Aini Rakhmawati ◽  
Aditya Septa Budi ◽  
Faizal Johan Altetiko ◽  
Fajar Ramadhani ◽  
Nanda Kurnia Wardati ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Transportation ◽  
Storage Capacity ◽  
Urban Transportation ◽  
Urban Transport ◽  
Rule Based ◽  
Rule Based System ◽  
Passenger Transportation

Angkotin is a system that provides an alternative for urban transport to not only be used for passenger transportation, but also as freight service. Therefore, it needs a decision support system for taking order to delivery to the destination according to each criterion from urban transportation. The method used to develop this decision support system is a rule-based system. The result of this research is a decision support system that can help public transportation to find orders that can be taken based on four factors, such as distance, direction, route code, and status of storage capacity. Based on these four factors, the system can provide an order recommendation under the appropriate conditions through the Angkotin application. Based on our experiment, our system performs on 7 seven cases as expected.   

Toward a Decision Support System for Regulation in an Urban Transport Network

2018 ◽  
Vol 9 (2) ◽  
pp. 1-17
Author(s):  
Khadidja Yachba ◽  
Zakaria Bendaoud ◽  
Karim Bouamrane
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Urban Transport ◽  
Transport Network ◽  
Formal Modeling ◽  
Proposed Model ◽  
Available Information ◽  
Decision Support Method ◽  
Multicriteria Decision Support

In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed model should provide synthesis, evaluation and updating of available information in order to facilitate the task of the network monitoring operator. To achieve this objective, the authors propose formal modeling of the perturbation concept through an effective and above all significant decision support system exploiting the diversity of the criteria as well as the decision maker's subjectivity. This modeling makes it possible to capitalize the knowledge available within a checkpoint and to monitor the process. The authors show how, from the information available on the network, the modeling of the process represented by a perturbation makes it possible to enrich the possibilities of evaluation of the state of the network.

scholarly journals Data mining applied for national road maintenance decision support system

2018 ◽  
Vol 195 ◽  
pp. 04007
Author(s):  
Andri Irfan Rifai ◽  
Susanty Handayani ◽  
Ronal Al Rasyid
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network ◽  
Pavement Management ◽  
Geographical Information ◽  
Road Maintenance ◽  
Proposed Model ◽  
National Road

National roads are one of the main networks of a country’s transportation system. To maintain the performance level of national roads requires a well-structured pavement management system (PMS). The decision support system (DSS) is inseparable in the modern PMS, which required the development of a new approach for the DSS in support of national road network maintenance. The proposed model integrates data mining (DM) and geographical information system (GIS) to construct a simple DSS. DM is used to developed road maintenance optimization models, and then integrated with DSS with the help of GIS as an interface application. Historical data on the national road network in West Java, Indonesia is used as a case study. Examples show that the proposed model can determine a decision support solution efficiently. In addition, a userfriendly computer interface is developed so that PMS stakeholders can plan pavement maintenance simply and effectively.

scholarly journals Decision support system for street-road network objects repair

2021 ◽  
Vol 1159 (1) ◽  
pp. 012025
Author(s):  
Yu E Vasiliev ◽  
M A Fineeva ◽  
A B Belyakov ◽  
S V Varshavsky ◽  
A A Caesar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network
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