Parham Pahlavani

University of Tehran | UT · School of Surveying and Geospatial Engineering

Volunteered geographic information (VGI) provides geometric and descriptive sources of geospatial data. VGI exchange, reuse, and integration are serious challenges due to the subjective contribution process, lack of organization, and redundancy. This study aims to enhance the quality of VGI semantic data by presenting a new approach to integrating...

Hospitals are one of the most important service centers. Choosing the optimal location of the hospital to space desired distribution of the hospitals and the optimal access of citizens to them is very important and complex. In the present study, to optimally select the hospital site in the Fifth District of Tehran, integration of Geographic Informa...

Misclassification of features is a major source of uncertainty in OpenStreetMap (OSM). This study is an automated data-enrichment study whose primary goal is predicting road classes based on multi-classifier systems (MCSs). In this regard, fourteen parameters (thirteen centrality parameters and length) that were assumed to have the highest impact o...

Introduction Nowadays, a significant part of goods and passengers are transported on suburban highways with mainly high-speed vehicles. Hence, these highways are very prone to collisions with different injuries. For this reason, road collisions have become one of the largest international health issues in the world recently. Due to the high fatalit...

Because of the great achievements in designing remote sensing sensors, the extraction of useful information from multisource remote sensing data remains a challenging problem. Most of the recent research projects have applied single deep learning systems for data fusion and classification. The idea of using ensemble deep learning algorithms through...

Healthcare services are among the most important urban services. Proper access to healthcare centers is critical. Determining the hospitals prospect location is a difficult issue of multi-criteria decision-making (MCDM) and use of Geographic Information Systems (GIS) improves this decision. In this study, in order to determine the prospect location...

Modeling geological units such as dykes is a powerful tool in mineral exploration studies. The most significant issue in modeling of uncertainty in the mineral exploration studies is the identification of the geological domains that consist of the zones with significant exploratory factor located in the area under study. The sequential indicator si...

In this research, twelve linear and nonlinear regression models were performed and evaluated to formulate the best one for the estimation of chemical oxygen demand level in the effluent of the clarifier unit of a petrochemical wastewater treatment plant. The input variables measured twice a day in the influent of the biological unit over a period o...

Hospitals are among the most essential human service and their role in the health of the citizens is very important. One of the important issues related to hospitals in developed cities is determining the optimal location for their construction. The location selection process is used to find one or a set of appropriate locations to assign to a spec...

In this study, a different ranking method has been proposed to prioritize the mineral potential areas and select the best potential area to decrease potential risks of mineral exploration. In this regard, at first, the area located in the east-southeast of the Sarcheshmeh copper mine was selected as mineral targets due to their high potential of po...

The simultaneous use of remote sensing sensors has been of great interest due to reasons such as the weaknesses of each sensor individually and the improvement in results by integrating multisensor information. In this context, decision fusion of multiremote sensing sensors is one of the hot research topics for improvement in land cover classificat...

In this study, Shannon's entropy and the TOPSIS techniques have been used for ranking residential areas against the earthquake hazards. For this purpose, 8 variables were examined in 27 districts of Amol city. These variables include released energy, earthquakes of the last 20 years in terms of ton TNT, buildings quality, residential density, build...

In the present study, firstly, the effective factors of Golestan national park forests fire have been identified. Then, by using these factors, forest fire development modeling is performed based on cellular automata. Multiple linear regression and genetic algorithm are used to determine the effective factors on Golestan national park forests fire....

Partial unmixing categorizes each pixel based on a particular mineral while a pixel may contain several minerals. Hence, it seems that the full unmixing procedure is essential to make real results. In this study, at first, the hydrothermal alteration minerals have been mapped by directed matched filtering (DMF) algorithm as a partial unmixing metho...

Geothermal energy is a clean, renewable and economic energy resource, therefore its exploration is very important. In Iran there are many hot springs and there are so much evidences in many areas that show geothermal resources. So far, many exploration operations have been carried out to discover this resources. Considering the evidences of geother...

The world is rapidly urbanized in the recent decades and urban areas are dealing with enormous changes and demands in utilizing the land units. To prevent incongruous land development, a seamless land use control planning tool, impowered by a decision support system is an imperative part of development management. This study focuses on evaluating t...

Due to urbanization and changes in the urban thermal environment and since the land surface temperature (LST) in urban areas are a few degrees higher than in surrounding non-urbanized areas, identifying spatial factors affecting on LST in urban areas is very important. Hence, by identifying these factors, preventing this phenomenon become possible...

The Damavand region is located in the north of Iran and north-eastern of Tehran. In the present study, geothermal favorability map in this region has been prepared using two methods of data integration in the geographic information system (GIS) environment. The purpose of this study is to introduce the areas with high potential of geothermal field...

In this paper, Radial Basis Function (RBF) Neural Network and Logistic Regression (LR) models were proposed for hazard prediction of landslides in a part of the Semirom area (Iran) to compare their accuracy and performance. For this purpose, a spatial database of the study area was prepared that consists of 68 landslide locations and 11 influencing...

As technology and science develops and the coming of new equipment’s, standards and different waves spread. Each of these standards and technologies have involved in indoor positioning by various scholars. Various methods have been developed based on different systems, all of which are based on specific methods and concepts. The research tries to d...

In this study, a GIS based approach has been proposed for the flood risk zonation based on a multi-criteria spatial group fuzzy AHP decision making analysis and its integration with fuzzy overlay analysis. For this purpose, 10 layers affecting flood occurrence have been used including: the Digital Elevation Model (DEM), Slope, NDVI, Flow Accumulati...

Updating digital maps is a challenging task that has been considered for many years and the requirement of up-to-date urban maps is universal. One of the main procedures used in updating digital maps and spatial databases is building extraction which is an active research topic in remote sensing and object-based image analysis (OBIA). Since in buil...

Vegetation mapping is one of the most critical challenges of remote sensing society in forestry applications. Sentinel-1 dataset has the potential of vegetation mapping, but because of its limited number of polarizations, full polarized vegetation indexes are not accessible. The Sentinel-2 dataset is more suitable for vegetation mapping because a w...

With the world’s growing population, the number of vehicles has increased, but the capacity of roads and transportation systems has not. The increasing traffic and the pollution that it causes has therefore become a problem all over the world. Wireless Sensor Networks that detect traffic and prevent its pernicious effects have attracted the attenti...

This paper proposed a methodology for finding changes in agricultural land of Tehran during past years and simulating these changes for future years. The proposed method utilized the spatial GIS-based techniques and Landsat satellite imagery to predict agricultural land map for the future of Tehran. Therefore, a method for finding and predicting ch...

The purpose of Multi-modal Multi-criteria Personalized Route Planning (MMPRP) is to provide an optimal route between an origin-destination pair by considering weights of effective criteria in a way this route can be a combination of public and private modes of transportation. In this paper, the fuzzy analytical hierarchy process (fuzzy AHP) and the...

Recently, the development of various remote sensing sensors has provided more reliable information and data for identification of different ground classes. Accordingly, multisensory fusion techniques are applied to enhance the process of information extraction from complementary airborne and spaceborne remote sensing data. Most of previous research...

Forests are the most important natural resources of any country that protection of them has a special important role. Forest fire and its spreading is one the incidents causing major damages for the forests. Hence, in on order to reduce this damage, it is extremely important to determine factors affecting forest fire and to model the spreading of f...

The study of changes and the rate of destruction in previous years, as well as the possibility of predicting these changes in recent years, plays an important role in optimal planning and management and limiting unusual changes in the future. The study was conducted to identify land changes and land cover (1996-2006) and to predict future changes (...

Land use change models are increasingly being used to evaluate the effect of land change on climate and biodiversity. This study was conducted to identify the land cover changes during 1996 to 2006and to predict the future changes (for 2026) using satellite imagery in the Massachusetts region of the United States using a Similarity-Weighted instanc...

توسعه سریع و بی رویه شهرها منجر به ساخت و سازهای بدون برنامه ریزی و مهارنشدنی شده است که می تواند مشکلات فراوانی در حوزه های مختلف نظیر زیست محیطی، اقتصادی و فرهنگی به وجود آورد. لذا مدلسازی و پیش بینی توسعه شهری می تواند کمک فراوانی به برنامه ریزان و تصمیم گیرندگان در راستای درک چشم انداز پیش روی شهر برای رسیدن به توسعه پایدار شهری داشته باشد. در...

طوفان گرد و غبار از جمله رخدادهای طبیعی است که در طی سال های اخیر، تأثیر نامطلوبی بر زندگی مردم در نواحی غرب و جنوب غربی ایران گذاشته است. ایران در منطقه ای قرار دارد که به شدت تحت تأثیر طوفان های گرد و غبار است و قرار گرفتن در کمربند بیابانی سبب شده است تا شدت و فرکانس این طوفان ها در سال های اخیر، افزایش یابد. از این رو شناسایی طوفان گرد و غبار ک...

پدیده آتش سوزی جنگل ها یکی از بلایای طبیعی است که بخش وسیعی از جنگل ها را تهدید می کند. به دلیل اثرات ویرانگر آتش سوزی بر جنگل، انجام تحقیقاتی با استفاده از روش های نوین برای شبیه سازی توسعه آتش سوزی جنگل، بسیار ضروری به نظر می رسد. در این تحقیق سعی شد شبیه سازی توسعه آتش سوزی جنگل گلستان بر اساس اتوماتای سلولی صورت گیرد که برای کالیبره نمودن آن از...

Since Light Detection and Ranging (LiDAR) data are capable of distinguishing vegetation from bare earth, these data are used nowadays to produce digital terrain models (DTMs) for forest regions. In this research, raw LiDAR data were filtered using hybrid and slope-based filtering methods and the filtered data were then interpolated using the new mo...

Car following modeling is one of the major issues in microscopic traffic simulation, and the accuracy and reliability of microscopic simulation models highly depend on the models. This research used a highly efficient method of regression for car following modeling such as support vector regression and compared it with multi-adaptive regression spl...

Rapid development and lead to improper cities without planning and unbridled construction that can be problems in different areas of application, such as environmental, economic and cultural created. Therefore, modeling and predicting urban growth can help planners and decision makers to understand the city's vision for sustainable urban growth. In...

The forest fire phenomenon is one of the natural disasters that threatens a large part of the forest. Due to the devastating effects of fire on the forest, it is very important to carry out research using modern methods for modeling forest fire spreading. In this research, we aimed to model the Golestan forest fire spreading based on cellular autom...

The digital terrain model (DTM) is an important geospatial product used in many applications of geo-information systems. Advances in light detection and ranging technology leads to generate a dense and accurate point cloud from the Earth’s surface. Because of the existence of various types of non-ground object in the complex terrain, filtering of t...

Nowadays, accurate spectral reflectance information is provided by hyperspectral (HS) data while light detection and ranging (lidar) data provides precise information about the height and geometrical properties of the surfaces. In the most research papers, data fusion of disparate sensors significantly improves object classification performance com...

Forests are the most important natural resources of any country that protection of them has a special important role. The forest fire phenomenon is one of the natural disasters that threatens a large part of the forest. Forest fire and its spreading is one the incidents causing major damages for the forests. Due to the devastating effects of forest...

The forest fire is one of the natural disasters that menaces the large parts of the forests. Forest fires proliferate increasingly due to oxygen resource depletion, greenhouse gases, and rising global temperatures. Due to the devastating effects of forest fires, research on modern methods for simulation forest fire is essential. In this research, G...

Nowadays, to reduce the damages and high costs of forest fire, there is a need for identifying the factors affecting forest fire, modeling the spread of the fire, as well as specifying the actions to extinguish forest fire. In this research, we tried to identify the biophylsical and human factors affecting spread of the fire in a study area using t...

Based on world health organization (WHO) report, driving incidents are counted as one of the eight initial reasons for death in the world. The purpose of this paper is to develop a method for regression on effective parameters of highway crashes. In the traditional methods, it was assumed that the data are completely independent and environment is...

Today, one of the social problems influencing on the lives of many people is the road traffic crashes especially the highway ones. In this regard, this paper focuses on highway of capital and the most populous city in the U.S. state of Georgia and the ninth largest metropolitan area in the United States namely Atlanta. Geographically weighted regre...

Traffic monitoring and managing in urban intelligent transportation systems (ITS) can be carried out based on vehicular sensor networks. In a vehicular sensor network, vehicles equipped with sensors such as GPS, can act as mobile sensors for sensing the urban traffic and sending the reports to a traffic monitoring center (TMC) for traffic estimatio...

This paper presents an indoor positioning technique based on a multi-layer feed-forward (MLFF) artificial neural networks (ANN). Most of the indoor received signal strength (RSS)-based WLAN positioning systems use the fingerprinting technique that can be divided into two phases: the offline (calibration) phase and the online (estimation) phase. In...

According to the industrialization of cities and the apparent increase in pollutants and greenhouse gases, the importance of forests as the natural lungs of the earth is felt more than ever to clean these pollutants. Annually, a large part of the forests is destroyed due to the lack of timely action during the fire. Knowledge about areas with a hig...

Due to urbanization and changes in the urban thermal environment and because the land surface temperature (LST) in urban areas are a few degrees higher than in surrounding non-urbanized areas, identifying spatial factors affecting on LST in urban areas is very important. In this regard, due to the unique properties of spatial data, in this study, a...

سالانه میلیون ها هکتار از جنگل ها به دلیل وقوع آتش سوزی، از بین می روند و این امر، اثرات مخربی بر روی اکوسیستم، پوشش گیاهی و حیات وحش کره زمین دارد. بنابراین، پیش بینی دقیق و صحیح توسعه آتش سوزی جنگل، موضوعی مهم در به حداقل رساندن اثرات مخرب ناشی از آن است. در این بین، اتوماتای سلولی روشی ساده با کارآیی بالا می باشد که توانایی زیادی در مدلسازی پدید...

Air pollution assessment is an imperative part of megacities planning and control. Hence, a new comprehensive approach for air pollution monitoring and assessment was introduced in this research. It comprises of three main sections: optimizing the existing air pollutant monitoring network, locating new stations to complete the coverage of the exist...

The grey wolf optimizer (GWO) is a new efficient population-based optimizer. The GWO algorithm can reveal an efficient performance compared to other well-established optimizers. However, because of the insufficient diversity of wolves in some cases, a problem of concern is that the GWO can still be prone to stagnation at local optima. In this artic...

In a multi-modal multi-objective route planning problem, the main purpose is finding an optimal route between the origin and destination, which is a combination of multi-transportation modes, pairs by considering multifitness function. Most of multi-objective problems are solved by assigning a weight to each objective function and using a linear av...

در سال های اخیر به دلیل افزایش آتش سوزی های جنگل، نیاز به مدلسازی روند توسعه آتش سوزی جنگل برای تبیین اقداماتی جهت کاهش خسارات ناشی از این رخداد، احساس می شود. در این تحقیق سعی نمودیم تا با استفاده از الگوریتم اتوماتای سلولی و روش زنجیره مارکوف، توسعه آتش سوزی جنگل گلستان را مدلسازی نماییم. در همین راستا با تعریف فیلترهای همسایگی و توان های تفکیک م...

In this article, a different approach has been proposed to detect and reconstruct buildings in 3D space. In this regard, some potentially primary features were produced and a genetic algorithm (GA) was employed in order to select the optimum features. The selected features were utilized to detect the building by using k-nearest neighbour (k-NN) alg...

Car following modeling is one of the most crucial issues in microscopic traffic simulation. Accuracy and reliability of microscopic simulation are so depended on car following models. In this essay, a very useful method in the field of regression such as support vector regression (SVR) are used. Considering existence of too many parameters in conve...

Traffic simulation is a powerful tool for analyzing and solving several transportation issues and traffic problems. However, all traffic micro-simulation models require a suitable car-following model to show the real situation in the best way possible. Several car-following models have been proposed. An obvious disadvantage of the former models is...

جنگل ها از جمله مهم ترین منابع طبیعی هر کشوری محسوب می شوند که حفاظت و مراقبت از آن ها دارای اهمیت ویژه ای است. یکی از حوادثی که باعث ایجاد صدمات جدی به جنگل می شود، آتش سوزی و گسترش آن می باشد. به دلیل روند رو به افزایش آتش سوزی جنگل در کشورمان طی سال های اخیر، اقداماتی برای مقابله با آن جهت حفظ و بقای جنگل، ضروری به نظر می رسد. در این تحقیق سعی ش...

nterpretation of synthetic aperture radar (SAR) data processing is difficult because the geometry and spectral range of SAR are different from optical imagery. Consequently, SAR imaging can be a complementary data to multispectral (MS) optical remote sensing techniques because it does not depend on solar illumination and weather conditions. This st...

Hyperspectral images contain extremely rich spectral information that offer great potential to discriminate between various land cover classes. However, these images are usually composed of tens or hundreds of spectrally close bands, which result in high redundancy and great amount of computation time in hyperspectral classification. Furthermore, i...

Synthetic Aperture Radar (SAR) data are of high interest for different applications in remote sensing specially land cover classification. SAR imaging is independent of solar illumination and weather conditions. It can even penetrate some of the Earth’s surface materials to return information about subsurface features. However, the response of rada...

Determining the effective factors on fire is so important, because the plenty areas of forests around the world are destroyed every year by fire. It helps us to identify most dangerous locations and times in forest fire. Hence, we can prevent many of driving factors of forest fire by law enforcement, efficient forest management policies and more su...

Car-following models are among the most important components of micro traffic flow simulation which is studied by transportation experts to evaluate new applications of intelligent transportation systems. Until now, several car-following models have been proposed. An obvious disadvantage of the former models is the great number of parameters which...

Maps and images play an important role in social and geographical communication. They are considered as a means to display large amounts of data in parallel and in a format understandable to humans. Many of these statistical data can be used in a geographical context by GIS technology. One of the ways to display statistical data in the geographical...

امروزه آتش سوزی جنگل ها جزء زیانبارترین بلایای طبیعی به حساب می آید و هر سال مساحت بسیار زیادی از جنگل ها طعمه حریق شده و از بین می روند و تکرار این رخداد ناخوشایند، خسارات جبران ناپذیری بر زندگی افراد جامعه و محیط زیست وارد می کند. بنابراین مدلسازی پیش بینی گسترش آتش سوزی جنگل، اهمیت بسیار زیادی دارد. این مسئله در ارتباط با کشور ما که دارای مساحت...

Currently, hyperspectral images have potential applications in many scientific areas due to the high spectral resolution. Extracting suitable and adequate bands/features from high dimensional data is a crucial task to classify such data. To overcome this issue, dimension reduction techniques have direct effects to improve the efficiency of classifi...

Car-following models are among the most important components of micro traffic flow simulation which is studied by transportation experts to evaluate new applications of intelligent transportation systems. Until now, several car-following models have been proposed. An obvious disadvantage of the former models is the great number ofparameters which a...

The urban area has always been under the influence of population growth and human activities. This process causes the changes in land use/cover. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. On the otherhand, satellite remote sensing has several advantages for monitoring land use/cover resources...

A multimodal multi-criteria route planning (MMRP) system provides an optimal multimodal route from an origin point to a destination point considering two or more criteria in a way this route can be a combination of public and private transportation modes. In this paper, the simulate annealing (SA) and the fuzzy analytical hierarchy process (fuzzy A...

Geocoding – the process of finding position based on descriptive data such as address or postal code - is considered as one of the most commonly used spatial analyses. Many online map providers such as Google Maps, Bing Maps and Yahoo Maps present geocoding as one of their basic capabilities. Despite the diversity of geocoding services, users usual...

Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. However, previous empirical studies and modeling about car following behavior had some important limitations. One of the main and clear defects of the...

The cellular automata (CA) as a powerful spatial dynamic modelling tool are designed as a function of parameters whose calibration plays a crucial role for obtaining a suitable set of parameters in order for precise and reliable modelling. This paper presents an improved cellular automata model optimised using PSO to simulate the spatiotemporal pro...

Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behavior in traffic flows. However, previous empirical studies and modeling about car following behavior had some important limitations. One of the main and clear defects of the...

This study proposes an earthquake evacuation routing plan from local shelters to regional ones for a long-term safe settlement using public vehicles. In a post-earthquake situation, the unpredicted changes in travel demand patterns and accessibility conditions of the transportation network affect the travel time. The contribution of this study is t...

As adaptive neuro-fuzzy inference system (ANFIS) has shown a high capability in solving various complicated problems, its usage has been increased so far. LiDAR is an active sensor which operates based on measuring distance by sending pulses to the ground and receiving the backscatters. This technology gives the 3D position of a point directly. Bec...

In this article, a new fuzzy rough set (FRS) method was proposed for extracting rules from an adaptive neuro-fuzzy inference system (ANFIS)-based classification procedure in order to select the optimum features. The proposed methodology was used to classify lidar data and digital aerial images acquired for an urban environment to detect four classe...

As adaptive neuro-fuzzy inference systems (ANFISs) have shown a high capability in solving various complicated problems, their usage have been increased so far. ANFISs are able to deal with large amounts of data with linear or nonlinear relations. In this paper, an ANFIS-based methodology was proposed in order to detect objects in complex city scen...

In recent years due to increasing the population and migration to cities, land use changes have become the most important issues. For a better planning for the future, a vision of the future would be needed. Because of this reason, we have to simulate the land use changes for the future years. The main objective of this paper is simulating multi la...

Interaction between various land uses is necessary for sustaniable development. This paper presents the fuzzy-AHP and Multi-Objective Land Allocation (MOLA) methods in a Geospatial Information-based System (GIS) to allocate suitable lands for both agriculture and industry towns area. Sari city in North of Iran was considered as the case study. A La...

In the most applications in remote sensing, there is no need to use all of available data, such as using all of bands in hyperspectral images. In this paper, a new band selection method was proposed to deal with the large number of hyperspectral images bands. We proposed a Continuous Genetic Algorithm (CGA) to achieve the best subset of hyperspectr...