Ontology based personalized route planning system using a multi-criteria decision making approach

Niaraki, Abolghasem Sadeghi,Kim, Kyehyun Elsevier 2009 expert systems with applications Vol.36 No.2

<P><B>Abstract</B></P> <P>This study presents a generic ontology-based architecture using a multi-criteria decision making technique to design a personalized route planning system. The real world has become too complex to implement entirely within an information system such as geographic information system (GIS). A route planning technique is an essential geo-related decision support tool, especially in intelligent transportation systems (ITS). In ubiquitous GIS environments, personalization can be accomplished through a user’s preferences stored on mobile appliances. In this manner, personalized and user-centric route planning services using semantic technologies and ontologies perceive user and context models to satisfy user demands and predict their requirements. In the past few years, several studies have been carried out regarding personalized services. However, the existing route finding algorithms suffer from a number of major difficulties, mainly owing to insufficient criteria modeling for a personalized system. Thus, the present study investigates how a user-centric route planning system can be implemented. In order to address this research issue, an ontology-based knowledge modelling technique using an analytic hierarchical process (AHP) is proposed. This technique can facilitate determination of the choice of criteria used for applying an impedance function in the route finding algorithm. From another perspective, AHP explicitly deals with a hierarchy structure and is essentially a theory of measurement and decision making methodology used for combining or synthesizing quantitative as well as qualitative criteria. User-centric results on real data illustrate the strengths of the present approach. It is anticipated that this new technique can be applied to develop new graph algorithms based on semantic web technology and can be used with new semantic graph structures.</P>

Design and implementation of a GIS-based accident management system using tracking technique

Niaraki Abolghasem Sadeghi,Kim Kye-Hyun Korea Spatial Information System Society 2006 한국공간정보시스템학회 논문지 Vol.8 No.2

This paper addresses a GIS (Geographic Information System) based system in order to reduce the rate of public transportation accidents occurring in Iranian roads network. Over the years, the road accidents are a major issue throughout the world. Today, particular consideration is given to those technologies which can lead to diminish on the number of critical incidents. One of the main factors resulting in accidents and fatalities rates growth is the speed violation of buses in Iranian road network. The conventional speed controlling approach in Iran based on the Tachograph which records vehicle's speed, time, and stoppage in the mechanical processing has many problems. Hence, this research is intended to design and implement a GIS-based system to manage road accident of Bus transportation system using offline tracking system. This was accomplished using a GIS-based technique that encompasses three steps. The first step is developing a GIS-based accident system. The second step includes designing and applying a tracking system inside 90 buses for recording Bus information for speed controlling. Lastly, by using mentioned system in police center, the illegal drivers' punishment would be considered properly. Overall, this system has been successfully applied in this work. Therefore, the police and transportation office are able to control and make policy to diminish the number of accident. It is anticipated that online tracking system through the Web GIS would be utilized In this system in the near future.

GIS-based Web-Service Architecture

Abolghasem Sadeghi Niaraki,Kyehyun Kim,Cholyoung Lee,Taehoon Kim 대한공간정보학회 2008 한국지형공간정보학회 학술대회 Vol.2008 No.10

The present research addresses the system design for building a geospatially-based web services application for mobile users. In recent years, geospatial information (GI) and Geographic Information Systems (GIS) are significant resources in decision-making analyses at various levels of society and activities. Recently, the integration of GIS and web services, called GIS web services, provides the wider implementation of GIS. At the present time, accessing, presenting, and manipulating updatedgeospatial information to locate geo-related facility services are real challenges related to application developers to implement for foot-travelers properly. The present paper investigates how the web services work in a GIS for discovering geo-related facility services such as a restaurant and post office in the user’s vicinity. Thus, a prototype, with an architecture consisting of a windows application on the client side as well as facility services and geo-engineon the server side, were designed and implemented with the proposed GIS web services platform. On both the client and server sides, visual studio .Net technology was used. A geo-engine on the server side was also built with ESRI’s MapObjects. Following successful implementation of the prototype presented in this study, the mobile user is able to invoke remote web services to assess the location of various facilities such as restaurants. Moreover, the present research demonstratesthat web services are not restricted only to web-based use, but can also be utilized by any web-connected application.

Grid Based Nonpoint Source Pollution Load Modelling

Abolghasem Sadeghi Niaraki,Jae-Min Park,Kyehyun Kim,Chulyong Lee 대한공간정보학회 2007 한국지형공간정보학회 학술대회 Vol.2007 No.6

The purpose of this study is to develop a grid based model for calculating the critical nonpoint source (NPS) pollution load (BOD, TN, TP) in Nak-dong area in South Korea. In the last two decades, NPS pollution has become a topic for research that resulted in the development of numerous modeling techniques. Watershed researchers need to be able to emphasis on the characterization of water quality, including NPS pollution loads estimates. Geographic Information System (GIS) has been designed for the assessment of NPS pollution in a watershed. It uses different data such as DEM, precipitation, stream network, discharge, and land use data sets and utilizes a grid representation of a watershed for the approximation of average annual pollution loads and concentrations. The difficulty in traditional NPS modeling is the problem of identifying sources and quantifying the loads. This research is intended to investigate the correlation of NPS pollution concentrations with land uses in a watershed by calculating Expected Mean Concentrations (EMC). This work was accomplished using a grid based modelling technique that encompasses three stages. The first step includes estimating runoff grid by means of the precipitation grid and runoff coefficient. The second step is deriving the gird based model for calculating NPS pollution loads. The last step is validating the gird based model with traditional pollution loads calculation by applying statistical t-test method. The results on real data, illustrate the merits of the grid based modelling approach. Therefore, this model investigates a method of estimating and simulating point loads along with the spatially distributed NPS pollution loads. The pollutant concentration from local runoff is supposed to be directly related to land use in the region and is not considered to vary from event to event or within areas of similar land uses. By consideration of this point, it is anticipated that a single mean estimated pollutant concentration is assigned to all land uses rather than taking into account unique concentrations for different soil types, crops, and so on.

Semantic interoperability of GIS and MCDA tools for environmental assessment and decision making

Jelokhani-Niaraki, Mohammadreza,Sadeghi-Niaraki, Abolghasem,Choi, Soo-Mi Elsevier 2018 Environmental modelling & software Vol.100 No.-

<P><B>Abstract</B></P> <P>A promising approach to environmental assessment and decision making analyses is based on integrating Multicriteria Decision Analysis (MCDA) and GIS tools. Integration of GIS and MCDA tools can be potentially achieved through interoperability, where these tools can exchange relevant information to tackle a particular environmental problem. However, the problem of semantic heterogeneity caused by different meanings of data, terminologies, and models used in GIS and MCDA has been recognized as an obstacle in the interoperability of these tools. Conventionally, exchange of data between GIS and MCDA systems for environmental applications relies on prior knowledge to mediate meanings between the two components. This paper proposes an ontology-enabled framework for semantic interoperability of GIS and MCDA web services. In particular, this study has made significant contribution to environmental decision making by providing an interoperable framework to exchange environmental data with intended and unambiguous meanings between GIS and MCDA services.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This paper proposes an ontology-enabled framework for semantic interoperability of GIS and MCDA components. </LI> <LI> It shifts the paradigm of environmental decision support systems from application-specific to a semantic interoperable framework. </LI> <LI> The approach uses a set of ontologies to address the challenges of semantic interoperability between GIS and MCDA tools. </LI> </UL> </P>

Ubiquitous sensor network simulation and emulation environments: A survey

Sharif, Mohammad,Sadeghi-Niaraki, Abolghasem Academic Press 2017 Journal of network and computer applications Vol.93 No.-

<P><B>Abstract</B></P> <P>Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitous computing technology is introduced to provide all users with any service, anytime, anywhere, with any device, and under any network. However, high cost, long time consumption, extensive effort, and in some cases irrevocability are the main challenges and difficulties for developing ubiquitous systems. Therefore, one solution is to initially simulate, analyze, and validate practices prior to deploying sensing and computational devices in the real world. Simulation, as a performance evaluation technique, has attracted attentions due to its speed, cost-effectiveness, repeatability, scalability, flexibility, and ease of implementation. Moreover, emulation, as a hybrid method, not only offers most simulation advantages but also benefits from tight control of implementation, as well as a certain degree of realistic results. Both simulators and emulators are significant tools for enhancing the understanding of ubiquitous sensor networks (USNs) through testing and analyzing several scenarios prior to actual sensor placements. In this regard, this paper surveys 130 simulation and emulation environments and frameworks, which were originally designed and adapted for USN. Of these 130, the 22 that have been widely used, regularly updated, and well supported by their developers are compared based on multifarious criteria. Finally, several studies that had favorably compared the performance of simulators and/or emulators are examined. We believe the present research findings will be helpful for students and researchers to pick an appropriate simulator/emulator, and for software developers and those who are keen on producing their own environment.</P>

Spatial experience based route finding using ontologies

Barzegar, Maryam,Sadeghi-Niaraki, Abolghasem,Shakeri, Maryam Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.2

Spatial experiences in route finding, such as the ability of finding low-traffic routes, exert a significant influence on travel time in big cities; therefore, the spatial experiences of seasoned individuals such as taxi drivers in route finding can be useful for improving route-finding algorithms and preventing using routes having considerable traffic. In this regard, a spatial experience-based route-finding algorithm is introduced through ontology in this paper. To this end, different methods of modeling experiences are investigated. Then, a modeling method is chosen for modeling the experiences of drivers for route finding depending on the advantages of ontology, and an ontology based on the taxi drivers' experiences is proposed. This ontology is employed to create an ontology-based route-finding algorithm. The results are compared with those of Google maps in terms of route length and travel time at peak traffic time. According to the results, although the route lengths of route-finding method based on the ontology of drivers' experiences in three cases (from nine cases) are greater than that based on Google maps, the travel times are shorter in most cases, and in some routes, the difference in travel time reaches only 10 minutes.