Saadi Mohammad Mesgari

• Doctor of Philosophy
• Professor (Associate) at K.N.Toosi University of Technology

Forecasting particulate matter with a diameter of 2.5 μm (PM2.5) is critical due to its significant effects on both human health and the environment. While ground-based pollution measurement stations provide highly accurate PM2.5 data, their limited number and geographic coverage present significant challenges. Recently, the use of aerosol optical...

Air pollution poses significant risks to human health and the environment, necessitating effective air quality management strategies. This study presents a novel approach to air quality management by integrating an autoencoder (AE) with a convolutional neural network (CNN) algorithm in Tehran city of Iran. One of the primary and vital problems in d...

Compared to other techniques, particle swarm optimization is more frequently utilized because of its ease of use and low variability. However, it is complicated to find the best possible solution in the search space in large-scale optimization problems. Moreover, changing algorithm variables does not influence algorithm convergence much. The PSO al...

Passengers must use a set of modes and vehicles to reach their destination in complicated urban structures. Choosing an optimal route is a complicated optimization problem for these passengers. This study proposes a multi-objective optimization algorithm to solve the routing problem in the urban multi-modal network. The multi-modal network problem...

Meta-heuristic algorithms have been widely used to solve different optimization problems. There have always been ongoing efforts to develop new and efficient algorithms. In this paper, the Orchard Algorithm (OA) is designed and introduced, inspired by fruit gardening. In this process, various actions such as irrigation, fertilization, trimming, and...

The ability to respond quickly to emergency patients depends on the distribution of ambulance stations. Therefore, the location of these stations is an important issue in urban planning. Health center location-allocation is considered as an NP-hard problem. Due to the long computation time, exact methods will not be effective in solving these probl...

Place has gained significant attention in geographic information science. Places are described by users that make a huge amount of user-generated textual contents. This research introduces a novel approach to extract place functionality using crowdsourcing textual data, which are shared in the form of online reviews. The proposed method can help us...

Nowadays, the utilization of urban public transportation has become a routine for people living in large cities. It is necessary to use multi-modal along the path to move individuals from one point to another. With the initiation of the Covid-19 pandemic, megalopolis public transportation became an effective place for transmitting the virus. Hence,...

Places are usually ambiguous and context dependent. Place functionality as a context in place descriptions is one of the prominent and distinguishing features of place. Today, due to the rapid growth of the Internet and social networks, users usually share place-based information. Among the types of information, user-generated textual content is no...

The learning process and hyper-parameter optimization of artificial neural networks (ANNs) and deep learning (DL) architectures is considered one of the most challenging machine learning problems. Several past studies have used gradient-based back propagation methods to train DL architectures. However, gradient-based methods have major drawbacks su...

Nowadays, in complicated urban structures, passengers have to use a set of modes and vehicles to reach their destination. In these circumstances, choosing an optimal route in several ways is a complicated optimization problem. The main goal of this study is to solve the routing problem in the urban multi-modal network by developing a suitable multi...

The COVID-19 epidemic has emerged as one of the most severe public health crises worldwide, especially in Europe. Until early July 2021, reported infected cases exceeded 180 million, with almost 4 million associated deaths worldwide, almost a third of which are in continental Europe. We analyzed the spatio-temporal distribution of the disease incid...

The development and use of artificial intelligence methods to solve different problems have been a vast and active research field for many years. The problem of pursuit-evasion has been used as a testbed in much new research on machine learning and artificial intelligence. In this research, the polices-robbers problem, as a specific form of the pur...

Recently, due to the rapid increase of social networks, user-generated tex-tual contents have grown significantly. Sense of place emerges when a place is functionally different from its surroundings and is therefore recognizable. This paper aims to extract place functionality by analyzing user-generated textual contents. Therefore, using different...

The outbreak of coronavirus disease (COVID-19) has become one of the most challenging global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal modeling of COVID-19, this research aims to examine the relative significance of potential explanatory variables (n=75) concerning COVID-19 prevalence and mortality using multi...

Today, due to population growth and the spread of diseases, human safety and health control has become particularly important. In this study, geographic information system (GIS) technology and fuzzy logic have been used to zoning prevalence of kidney stones. For this purpose, criteria maps have been generated from four information layers of populat...

In a complex urban structure, travelers have to use a set of modes and vehicles to reach their destination. In such a situation, choosing an optimal path consisting of several modes is a complex optimization problem. The main purpose of this thesis was to solve the problem of routing in an urban multimodal network by developing an appropriate multi...

In this study, routing in urban transportation networks is discussed. To solve the problem, genetic algorithm (GA) and particle swarm optimization (PSO) have been implemented. In this study, a network of subways, buses, and walking is assumed. The fitness function is to minimize the route length. Also, to be efficient, five changes wereadded along...

Nowadays, traffic congestion is a big problem in metropolises all around the world. Traffic problems rise with the rise of population and slow growth of urban transportation systems. Car accidents or population concentration in particular places due to urban events can cause traffic congestions. Such traffic problems require the direct involvement...

در این مطالعه به حل مسئله فروشنده دوره گرد ) TSP ( با استفاده از الگوریتم های بهینه سازی انبوه ذرات چندهدفه تعمیم یافته ) DMOPSO ( و الگوریتم ژنتیک مرتبسازی نامغلوب ) NSGA-II ( پرداخته میشود. مسئله فروشنده دوره گرد به طور ذاتی یک مسئله گسسته میباشد. الگوریتم MOPSO نیز یک الگوریتم، برای حل مسائل چندهدفه ی پیوسته است. از این رو برای حل مسئله ی گسسته...

در این مقاله به حل مسئله فروشنده دوره گرد با استفاده از الگوریتمهای بهینه سازی انبوه ذرات و ژنتیک پرداخته شده است. الگوریتم بهینه سازی انبوه ذرات یک الگوریتم پیوسته میباشد و مسئله فروشنده دوره گرد به طور ذاتی یک مسئله گسسته می باشد. با توسعه الگوریتم بهینه سازی انبوه ذرات این مسئله سریعتر به جواب بهینه همگرا میشود و در مدت زمان کمتری جواب بهینه را...

Today, the global positioning systems (GPS) do not work well in buildings and in dense urban areas when there is no lines of sight between the user and their satellites. Hence, the local positioning system (LPS) has been considerably used in recent years. The main purpose of this research is to provide a four-layer artificial neural network based o...

Hospital site selection is an essential problem in all societies, and the allocation of the population to these centers are included as the important optimization issues to be considered in urban planning. The present paper aims at improving the genetic algorithm by using the effective and affectability rates for the combination of chromosomes. For...

The present water crisis necessitates a frugal water management strategy. Deficit irrigation can be regarded as an efficient strategy for agricultural water management. Optimal allocation of water to agricultural farms is a computationally complex problem because of many factors, including limitations and constraints related to irrigation, numerous...

Introduction Site selection for health centers and hospitals in proper locations and the allocation of population to them is an important issue in urban planning. The location and allocation of health and medical facilities including hospitals, have long been an important issue for urban planners that has become more complicated with the growth of...

Vehicle Routing Problem is one of the classic problems in GIS (Geospatial Information System) which had been studied for long times. An answer can be accepted as a good solution if it would be able to optimize the total length of the route or decrease the number of vehicles. A VRP defines finding the optimum route for some vehicles that serve to so...

The spatial variability of annual precipitation and precipitation concentration has been analyzed in Chaharmahal and Bakhtiari province using data from 42 stations between 1981 and 2012. For this purpose, the correlation decay distance (CDD) and the coefficient of variation of annual precipitation have been computed at each station to show the inte...

Nowadays, inter-city trips are one of the most controversial issues that citizens are involved with them in megacities. These trips are getting more and more common and a considerable part of the peoples’ time is spent in a traffic jam. Moreover, air pollution, noise pollution, and visual pollution are other problems caused by the traffic jam. To o...

Traffic signal control plays a pivotal role in reducing traffic congestion. Traffic signals cannot be adequately controlled with conventional methods due to the high variations and complexity in traffic environments. In recent years, reinforcement learning (RL) has shown great potential for traffic signal control because of its high adaptability, f...

Spatial and temporal analysis of precipitation patterns has become an intense research topic in contemporary climatology. Increasing the accuracy of precipitation prediction can have valuable results for decision-makers in a specific region. Hence, studies about precipitation prediction on a regional scale are of great importance. Artificial Neural...

After an earthquake, it is required to establish temporary relief centers in order to help the victims. Selection of proper sites for these centers has a significant effect on the processes of urban disaster management. In this paper, the location and allocation of relief centers in district 1 of Tehran are carried out using Geospatial Information...

Urbanism is a challenging topic in the world, which has resulted in several land-use and transportation issues in urban environments. To address these issues, urban planners follow integrated planning approaches that are more compatible with sustainable development objectives. Transit-Oriented Development (TOD) is widely recognized as one of the mo...

Designing efficient traffic signal controllers has always been an important concern in traffic engineering. This is owing to the complex and uncertain nature of traffic environments. Within such a context, reinforcement learning has been one of the most successful methods owing to its adaptability and its online learning ability. Reinforcement lear...

Precipitation extremes can have significant impacts on the environment and human activities. The simple precipitation intensity index is one of the most commonly used extreme indices, which can represent the extreme precipitation characteristics in the desired time period. The main objective of this research is to realize a spatial analysis of prec...

Spatial and temporal variability analysis of precipitation is an important task in water resources planning and management. This study aims to analyze the spatial and temporal variability of precipitation in the northeastern corner of Iran using data from 24 well-distributed weather stations between 1991 and 2015. The mean annual rainfall, precipit...

Sustainable development is regarded as a pivotal factor for smart urban planning. Transit-Oriented Development (TOD) is a well-known land use transportation integration (LUTI) planning method, which can fulfill sustainable development objectives. In this study, a new spatial index is developed to measure TOD levels in neighborhoods of Tehran, the c...

The transportation demand is rapidly growing in metropolises, resulting in chronic traffic congestions in dense downtown areas. Adaptive traffic signal control as the principle part of intelligent transportation systems has a primary role to effectively reduce traffic congestion by making a real-time adaptation in response to the changing traffic n...

Detection of homogeneous climate areas is a challenging issue, which can be affected by different criteria. One of the most prominent factors is choosing the time scale, which can lead to different spatial and temporal patterns. Total precipitation is a key factor in climatological studies, and studying its distribution is of utmost importance. The...

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection, and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area...

The complex, dynamic and non-linear characteristics of land use change (LUC) modelling necessitate the development of advanced models and methods. In this research, a novel and stepwise approach is developed for modelling integrated LUC at the regional level based on land suitability, land demand and land use conversion rules. The aim of this model...

Complex interactions between human decision-makers and their biophysical environment can be observed in land-use systems. These complexities are due to the differences between biophysical and socio-economic variables. To Model human decision-making, we need to know the interactions between landscape, community, and ecosystems. In reality, humans...

The spatial variability of precipitation was investigated in the northwestern corner of Iran using data collected at 24 synoptic stations from 1986 to 2015. Principal component analysis (PCA) and cluster analysis (CA) were used to regionalize precipitation in the study area. Eleven precipitation variables were averaged and arranged as an input matr...

Usually, allocation of resources is an optimization problem which involves a variety of conflicting economic, social, and ecological objectives. In such a process, advanced geographic analyst tool for manipulation of spatial data and satisfaction of multiple objectives is essential to the success of decision-making. The present research intends to...

This paper aims to provide a spatial and temporal analysis to prediction of monthly precipitation data which are measured at irregularly spaced synoptic stations at discrete time points. In the present study, the rainfall data were used which were observed at four stations over the Qara-Qum catchment, located in the northeast of Iran. Several model...

Time series is a type of data with complex structure. Analysis of time series is used in sciences such as meteorology, economics, geology, marine science, medicine and engineering widely. So, Because of time series applications in various sciences, the interest to analyze these data has been increased.On the other hand by developing information gat...

Water requirements in agricultural production sector have increased in recent years. This necessitates the adequate management of limited water resources. Since agriculture is the main water consumer, finding proper methods and models for the allocation of water to farm lands is vital to the management of available water. The goal of this study is...

Clustering trajectory data discovers and visualizes available structure in movement patterns of mobile objects and has numerous potential applications in traffic control, urban planning, astronomy, and animal science. In this paper, an automated technique for clustering trajectory data using a Particle Swarm Optimization (PSO) approach has been pro...

One of the important steps in the earthquake disaster management is the establishment of temporary relief centers, to provide the basic helps and support in short time. Finding optimum location for these centers with adequate covering of the urban areas is not a trivial problem. The meta-heuristic algorithms are promising methods, capable of solvin...

Todays, stability of human life is threatened by a set of parameters. So sustainable urban development theory is introduced after the stability theory to protect the urban environment. In recent years, sustainable urban development gains a lot of attraction by different sciences and totally becomes a final target for urban development planners and...

The water scarcity crises in the world and specifically in Iran, requires the proper management of this valuable resource. According to the official reports, around 90 percent of the water in Iran is used for agriculture. Therefore, the adequate management and usage of water in this section can help significantly to overcome the above crises. The m...

During emergencies, emotions greatly affect human behaviour. For more realistic multi-agent systems in simulations of emergency evacuations, it is important to incorporate emotions and their effects on the agents. In few words, emotional contagion is a process in which a person or group influences the emotions or behavior of another person or group...

Nowadays traffic data is obtained from multiple sources including GPS, Video Vehicle Detectors (VVD), Automatic Number Plate Recognition (ANPR), Floating Car Data (FCD), VANETs, etc. All such data can be used for route finding. This paper proposes a model for finding the optimum route based on the integration of traffic data from different sources....

Routing in a multimodal urban public transportation network, according to the user's preferences, can be considered as a multi-objective optimisation problem. Solving this problem is a complicated task due to the different and incompatible objective functions, various modes in the network, and the large size of the network. In this research, two op...

Mineral Potential Mapping (MPM) is usually regarded as a complex procedure. In modelling such a procedure, aspects such as the multiplicity of factors, fuzziness in the qualitative and quantitative data, and diverse experts' viewpoints need to be considered. To respond to these requirements, in this research, a methodology is proposed on the basis...

Short time prediction is one of the most important factors in intelligence transportation system (ITS). In this research, the use of feed forward neural network for traffic time-series prediction is presented. In this paper, the traffic in one direction of the road segment is predicted. The input of the neural network is the time delay data exporte...

The location of Fire stations plays an important role in the efficiency of these facilities during fire accidents. Therefore, in order to maximize the coverage of these stations to population centers, proper locating of these fire stations seems necessary. On the other hand, locating of fire stations and allocating population to them is a combinato...

In Iran, earthquakes cause enormous damage to the people and economy. If there is a proper estimation of human losses in an earthquake disaster, it could be appropriately responded and its impacts and losses will be decreased. Neural networks can be trained to solve problems involving imprecise and highly complex nonlinear data. Based on the differ...

Considering the ever-increasing urban population, it appears that land management is of major importance. Land uses must be properly arranged so that they do not interfere with one another and can meet each other's needs as much as possible; this goal is a challenge of urban land-use planning. The main objective of this research is to use Multi-Obj...

Location-allocation is a combinatorial optimization problem, and is defined as Non deterministic Polynomial Hard (NP) hard optimization. Therefore, solution of such a problem should be shifted from exact to heuristic or Meta heuristic due to the complexity of the problem. Locating medical centers and allocating injuries of an earthquake to them has...

One of the main factors of land use change (LUC) modeling is the land use intersection (LUI) or neighborhood effect, which is normally modeled using cellular automata (CA) concept. The effects of LUI over distance are represented in terms of CA transition rules. In this paper, a new model for LUI process is developed that makes use of expert knowle...

Modeling land allocation for different land uses at regional level is a multi-dimensional problem, as it is influenced by spatial, temporal and dynamics of environmental and socio-economic factors in the complex process of land use change. It is therefore a challenge to develop a proper model that can handle these complexities. In this context, a n...

Classical and geostatistical methods have been used to create continuous surfaces from sampled data. A common geostatistical method is kriging, which provides an accurate estimation based on the existing spatial structure of sample points. However, kriging is sensitive to errors in the input data, the dispersion of the sample points, and the fit of...

The majority of spatial data users are inexperienced in spatial information science. This group of users cannot analyze spatial data and produce the required information. Therefore, the availability of mechanisms and applications for automatic and interoperable spatial data processing and information extraction is necessary. Generalization is one o...

در اين مقاله با استفاده از بلوکهای آماری شهر تهران به مدلسازی تقاضای سفر در سيستمهای اطلاعات مکانی پرداخته شده است. برای نيل به اين هدف، از 3191 بلوک آماری شهر تهران به عنوان نواحی ترافيکی جهت نمايش مبدأ- مقصدهای سفر استفاده شد. پس از آماده سازی اطلاعات مکانی و توصيفی مورد نياز در محيط GIS، به برآورد توليد و جذب سفر برای هر يک از نواحی ترافيکی پردا...

In this study, travel demand in Tehran, the capital of Iran, is modeled in GIS using 3191 census blocks of the city. In the proposed model, the census blocks are considered as traffic analysis zones used for simulating travel origins and destinations in Tehran. Proper demographic data needed for modeling the travel demand are gathered and linked to...

سيستم حمل و نقل اتوبوس شهری به عنوان يكي از مهم ترين سيستمهاي حمل و نقل عمومي به شمار مي رود. در طراحي اين سيستم لازم است كه به گونه اي همزمان چندين هدف كه بعضًا با هم متناقض هستند، در نظر گرفته شوند. اين اهداف باعث مي شوند كه انجام طراحي با مشكلاتي روبرو شود، به عنوان مثال، مسيرهايي كه براي كمينه كردن زمان سفر طراحي مي شوند، ممكن است بيشترين پوشش...

Planning of bus transportation system is one of the most important parts in the planning of public transportation systems. This planning is difficult because of some inconsistent goals. For example, we cannot expect that paths planned for minimum travel time also have maximum coverage and access. In order to attaining the best solution, we must con...

The proposed methodology relies on the fuzzy nine-intersection matrix which is a generalization of the crisp four-intersection matrix for topological similarity computing. The similarity computation between 3D fuzzy matrix and 3D crisp nine-intersection matrix enables the decision variables to be derived. Decision variables, which are used for dedu...

In this study, two developed shortest path algorithms that run fast on the real large volume road networks have been identified. The first one is heuristic genetic algorithm implemented with approximate buckets in scalar computing environment and the second one is parallel genetic processing which is run in the alternative space. At first, these tw...

Predicting air pollution is an important prerequisite for estimating, monitoring and mapping unknown pollution values. We can use fuzzy spatial prediction techniques to determine pollution concentration areas in practical situations where our observations are imprecise and vague. Fuzzy membership kriging with a semi-statistical membership function...

In this paper, an intelligent fuzzy agent can identify the values of risks and the environmental damages of the smoke plumes. When smoke plumes move: data extractor extracts the fuzzy areas form NOAA satellite images, spatial decision support system updates information from data base, and topological simulator computes the strength and type of top...

Landuse planning problems are categorized as complicated locational decision-making problems. This complexity makes us unable to solve such problems with common methods. It seems using intelligent systems such as expert systems and integrating those with decision support systems can help us to overcome with urban landuse planning problems. In this...

Service-oriented architecture in a distributed computing environment, with loosely coupled geo-services is a new approach for using GIS services in environmental modeling. The messages exchanged must follow a set of standard protocols which support syntactic interoperability, but do not address application semantics.This article proposes a layer-ba...

Gridding methods produce a regularly spaced, rectangular array of Z values from irregularly spaced XYZ data. Gridding generates a Z value at each grid node by interpolating or extrapolating the data values. Different gridding methods provide different interpretations of data because each method calculates grid node values by using a different algor...

In vector model, the boundary between features is stored and shown categorically in an absolute way, in other words Membership or non-membership of a point in each polygon is known which can be 0 or 1. For showing real world and its projection on map, because of the uncertainty on the border of the boundary between phenomena and spatial data, there...

One of the most important indices of defining general welfare and quality-of-life of people in the world is physical and mental health of individuals. Much of causing factors of the diseases are essentially spatial; i.e. their distribution and concentration vary in different locations. Therefore, GIS can be used as a decision support system in orde...

3 Abstract: The overlay functions in GIS are well known and often needed tools for integrating different factors and generating useful information for decision makers. Both the integration model and the generated information usually rely on crisp set theory. In many cases, either the boundaries of classes are not clearly defined, or the classificat...

This research is aimed at developing a model for assessing land use compatibility in densely built-up urban areas. In this process, a new model was developed through the combination of a suite of existing methods and tools: geographical information system, Delphi methods and spatial decision support tools: namely multi-criteria evaluation analysis,...

Spatio-temporal modeling for urban applications has received special attention lately. Due to the recent advances in computer and geospatial technologies, the temporal aspect of urban applications which was ignored in conventional systems, is under consideration nowadays. This new interest in spatio-temporal modeling, in spite of all its deficienci...

Most of the environmental problems do have an obvious spatial dimension. In this regard Geographic Information Systems (GIS) can be widely used in various environmental disciplines for solving environmental problems. Therefore linking GIS and environmental models is becoming common and interest in merging the technologies. Currently different metho...

One of the important mechanisms for representing topological relations between spatial objects is spatial topology. These relationships help us to model spatial relations between spatial objects in a simple and efficient manner. For achieving this goal there are some difficulties like; complexity of three dimensional relationships, fuzzy spatial pr...

Urban Land Use Planning (ULUP) requires the combination of large volumes of high quality and timely information and proper land use decision models. These are the key factors in applying spatial decision support system (SDSS) as a tool in supporting ULUP. Notwithstanding the huge abilities of GIS in analyzing spatial data, for many complex land use...