INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 03, MARCH 2020 ISSN 2277-8616 6741 IJSTR©2020 www.ijstr.org A Pilot Study Of Modeling A City In 3d B Aneesha Satya, M Shashi, Pratap Deva Abstract: The increase in population growth has reciprocated the congestion of the urban area. Due to the restriction of the city in the horizontal direction, the vertical structures have rapidly evolved. Therefore, the main aim of the paper is to develop the virtual 3D scene, ortho-photos, and rule- based simulation results, of vertical growth of building shells with geometr ic detail, by integrating ESRI’s City Engine software and the Computer Generated Architecture (CGA) language. An urban area is selected in a city. 3D model of the study area is created considering the footprints of the built- up area, 3D modeling of trees and waterbody were produced based on its location. The 3D model was then used for the estimation of vertical growth considering the plinth area and the number of stories of the building. The modeling will help in producing optimal solutions for problems like a flash flood, solar potential estimation. Index Terms: 3D modeling, City Engine, Urban area ——————————  —————————— 1 INTRODUCTION Humans have a direct impact on the expansion of housing and industrial development based on geography. A Geographic Information System (GIS) is a technological tool for a superior alternative for understanding geography, visualization, and making intelligent decisions. When the topography does not allow rapid development, then it is inevitable for the city to expand vertically. Other factors like the scale of built6 up area, demographics, and illegal occupation also become some of the environmental concerns. Hence, vertical growth includes not only the 2D estimation but also the height of the building. Thus, the integration of GIS and 3D modeling has become a perfect tool for the vertical study of urban growth. The computer animation industry had witnessed the merging of that GIS with 3D development, to play a significant role in such studies. ESRI developers released one of the most prominent GIS software CityEngine for the creation of 3D cities in a quick and relatively straightforward manner using procedural modeling language. City Engine was chosen for this project for many reasons, each related to its capacity for generating architecture in urban environments [1]. Procedural modeling combined with the shape and split rule set is the format for the generation of 3D content. It can import GIS and which allows a user to recreate real cities or efficiently create an urban environment for design. The architectural styles of the cities are geometrically corrected and reciprocated while maintaining the realistic street network based on the data imported. Still, each building may not necessarily correspond to its real component [2]. Users can likewise control any created street networks to customize their city blocks. Users can develop streets physically, change how the blocks are generated, for example, beveling the corners of lots, and bring changes in the buildings. Users can likewise characterize the degree of detail required for the buildings created, taking into consideration any masses from the pure form of the building to a highly-detailed rendering of intruded windows and extruded balconies. This permits a user to re-style the city they are modeling, which can be highly used in reality and to estimate the vertical growth of an urban area. When the idea of a project is defined, analysis of the design to find the most critical parameters for the creation of model elements and textures are made. The fundamental idea begins with a photograph, a drawing, a structural figure, or it can be a new design concept. The model would be much in excess than a composite picture of the region; it will be architected to incorporate intelligence into the model for each building, feature, roadway, and parcel through dynamic linkages to disparate data sources. Exterior surfaces of buildings will be rendered in a photograph sensible way, and a user could ―fly‖ through the model to visualize areas of interest. Some prominent landmarks will also be modeled in 3D to high levels of accuracy [3]. The focus of this paper is on using City Engine for 3D visualization from a GIS perspective. Due to the restriction of the administrative urban area, and an increase in population growth, the congestion of the study area, is reciprocated in the horizontal direction, which evolved vertical structures rapidly [4]. 3D Modelling will fairly give a better perspective of an area due to the future expansion of the city. 2 METHODOLOGICAL FRAMEWORK A typical workflow in the CityEngine begins with an idea, or a concept is shown in Fig. 1. Initially, a 3D model is entailed in the project with the selected municipal area. The study area is chosen so that it has several buildings. In the next step, designed rules were assigned to previously collected parameters where the elements can be encoded. The parameters are randomized using stochastic rules to generate a city model. To avoid a chaotic and uninteresting design, it is essential to add randomness gradually. A 3D model can be then made if all the above steps are followed [5]. The created city model looks more real if it is populated with cars and pedestrians. 2.1 Data preparation before import into Esri CityEngine Before importing and to start the model, it is necessary to prepare the data: Necessary parameter values for the buildings like roof height, building height were used for modeling process and are extracted using Esri ArcGIS 10.3 software. According to total height, the buildings were divided into groups, and later the height is decided as per full roof height. Then by subtracting a roof height from the total height of a building, eave height for the buildings was calculated. The next step in the data preparation process was to extract the footprint and generalization of their type using satellite imagery as shown in Fig. 2 _______________________________ • B Aneesha Satya is currently pursuing a PhD program in the Department of Civil engineering in National Institute of Technology Warangal, India, PH-8008003669. E- mail:abandi@student.nitw.ac.in  M Shashi is currently an Assistant Professor in the Department of Civil engineering in National Institute of Technology Warangal, India, E-mail: mshashi@nitw.ac.in  Pratap Deva is currently a Professor in Department of Civil engineering in National Institute of Technology Warangal, India, E-mail: prataprec@yahoo.com