AI BASED ORGANIZING ASSISTANT

Abstract

PEDESTRIAN-FRIENDLY URBAN DESIGN Urban utility design and planning are extremely difficult activities that need considerable preparation and ingenuity to execute well. Insufficient parking spaces and space on many roadways result in ineffective layouts which create difficulties for commuters and pedestrians.So, to make things easier, we plan to create an app that creates and constructs road layouts effectively. The main core of our ideas we get the~layout~a"h"d "dimension's of the area~as the input through "the blueprint of the area.Utilizing a diffusion model, the road layout is generated. As a result, the output is extremely precise and efficient.The output layout is displayed in 3D mesh using algorithms such as Depth Estimation.The design can actually be used to keep the roads safe for commuters.This project will greatly assist contractors in using this app to develop a safe and effective road plan.Our project's goals are to reduce traffic accidents, improve pedestrian safety, and give them better facilities. Users can easily visualize the layout because it serves as the area's digital twin.

Specification

FIELD OF INVENTION
Our invention relates to the field of urban infrastructure design and artificial intelligence (Al)-assisted roadway layout generation. Specifically, it involves a method and system for generating roadway layouts using machine learning (ML) and generative AI (Gen-AI) models, which are implemented within a dedicated application, hereinafter referred to as SANSTHA. The invention aims to streamline the creation, modification, and visualization of road layouts by integrating ML algorithms, including diffusion models for layout generation and depth estimation for 3D visualization.
BACKGROUND OF THE INVENTION
Urban utility organization and road design are multifaceted challenges that lie at the heart of effective urban planning. These tasks require not only meticulous planning but also a high degree of creativity to implement solutions that meet the diverse needs of a growing population. Many existing roadways suffer from inadequate spacing and poorly designed parking facilities, resulting in layouts that complicate navigation for both pedestrians and commuters. Such inefficiencies can lead to significant traffic congestion, creating frustration for drivers and unsafe conditions for pedestrians, who often find themselves negotiating crowded and poorly maintained sidewalks or crossings.
Moreover, research has consistently shown that the design of road layouts plays a crucial role in accident rates. A substantial number of accidents occur as a direct consequence of inadequate infrastructure, highlighting the pressing need for improvement. Poorly constructed roadways can create confusion and impatience among drivers, leading to reckless behavior and increased collision risks. Additionally, when pedestrian pathways are not thoughtfully integrated into the road design, it undermines safety and discourages walking, which is essential for fostering vibrant, healthy communities.
The motivation behind our project is to create a sustainable and efficient framework for designing and constructing road layouts that effectively addresses these pressing issues. This initiative aims to equip construction managers and contractors with a systematic approach that emphasizes safety, accessibility, and environmental responsibility. Key elements of this approach include the incorporation of advanced traffic modeling tools, which can help identify optimal road configurations, as well as the integration of features'such as dedicated bike lanes, wider sidewalks, and enhanced lighting to improve safety for all users.
Additionally, our project seeks to engage local communities in the planning process, ensuring that the needs and preferences of residents are prioritized. By fostering a collaborative environment, we can design roadways that not only reduce accidents but also enhance the overall quality of life in urban areas. Ultimately, the goal is to establish well-ordered roads that facilitate efficient transportation, promote sustainable practices, and create safer, more livable urban spaces for everyone. Through thoughtful design and innovative solutions, this project aspires to reshape our urban landscapes, making them safer and more accessible for all.:
OBJECTIVES
Enhancing Safety and Accessibility for Pedestrians: Our mission is to prioritize the safety and convenience of pedestrians by developing urban design solutions tailored to their needs. By focusing on safe walkways, crossing zones, and traffic-calming measures, we aim to foster an environment where pedestrians can navigate cities comfortably and confidently.
Restructuring Urban Utilities through Innovative Design Solutions: We provide efficient design solutions for the restructuring of essential urban utilities, ensuring that city infrastructure is optimized for modern needs. Our designs consider not only aesthetics but also functional^ aspects that promote sustainability, accessibility, and resilience in urban spaces.
Creating an Accessible Urban Design App: We envision an app that facilitates the design and restructuring process for urban planners, architects, and government .agencies. Accessible
anytime and anywhere, this tool will offer users real-time support, collaborative features, and dynamic design aids to create safer, well-organized cityscapes.
Reducing Pedestrian and Traffic Congestion: Our solutions are crafted to reduce pedestrian and vehicular congestion, especially in crowded urban zones. By implementing smart design principles, we help guide the flow of movement and prevent bottlenecks, contributing to a smoother and more efficient urban experience.
Supporting Traffic Management in Urban Areas: Effective traffic management is crucial for safe and efficient urban environments. We offer tools and insights that assist: traffic authorities in planning and organizing road layouts to facilitate better vehicle movement, thereby reducing gridlock and enhancing road safety.
Preventing Road Accidents with Systematic Road Design: To minimize accidents caused by chaotic road layouts, we design roadways with systematic and logical configurations. Our"goal is to reduce confusion and prevent accidents through well-marked lanes, clear intersections, and optimized signage for both drivers and pedestrians.
Providing Instant Design Solutions for Unorganized Zones: Our app is designed to offer fast and effective design solutions for unorganized urban areas. By instantly assessing the needs of any given zone, it can suggest tailored interventions, helping city planners address chaotic layouts with efficient restructuring options.
Fostering a Harmonious Urban Environment: We are dedicated to creating an urban environment that harmonizes functionality, safety, and aesthetics. Through thoughtful design, our solutions aim to promote a balanced atmosphere that benefits all city dwellers, from pedestrians to drivers, and contributes to the overall quality of urban life.
SUMMARY
In summary, this invention advances the field of roadway design and urban planning by integrating machine learning and generative AI within an accessible, app-based platform. The $ANSTHA app facilitates the generation, modification, and visualization of road layouts, supporting urban infrastructure projects with enhanced design efficiency, adaptability, and spatial accuracy. Through the utilization of a diffusion model for layout generation and depth estimation for 3D rendering, this invention presents a robust, scalable solution for addressing modern infrastructure demands.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
The accompanying drawings, which are incorporated, in and constitute a part of this disclosure, illustrate exemplary embodiments and, together with the description, explain the disclosed principles.
Fig 1: Design of the model.
The diagram illustrates a workflow for generating and visualizing designs in a VR environment, moving from initial layouts to immersive 3D experiences. The process:begins with creating Layouts, which serve as the foundational design. Next, in Preprocessing, these layouts are cleaned and prepared for model input. Diffusion Models then generate enhanced, detailed representations of the layouts by learning and applying complex patterns. The output undergoes Postprocessing to refine and adjust the details, ensuring clarity and accuracy. Following this, the refined designs are converted into 3D models in the 3D Conversion step, making them ready for immersive viewing. Finally, in VR Visualization, the 3D models are loaded; into a virtual reality environment, enabling users to explore and experience the designs interactively. This workflow provides a seamless pathway from initial 2D layouts to fully immersive VR representations, ideal for applications in road layout or architectural design visualization.
Fig 2: Workflow and Architecture.
The diagram provides a step-by-step workflow for generating and visualizing road layout designs using advanced image processing and AI techniques. The process begins with collecting layout images or diagrams, which undergo image calibration and correction to adjust any distortions. Noise reduction and contrast and sharpness enhancement improve the quality and clarity of these images.
Afterward, feature enhancement and color correction ensure consistency in visual features across all images. Images are then resized, scaled, and undergo shadow and; reflection removal, followed by background removal to focus on relevant layout elements. Normalization and standardization prepare the images for the diffusion model, which generates the initial road layout designs.
Post-diffusion, edge detection and smoothing refine the layout edges, followed by perspective correction to adjust viewing angles and ensure spatial accuracy. Noise reduction and de-aliasing improve visual consistency, while color and contrast adjustments finalize the image for feature alignment. Depth map refinement and texturing enhancements add depth and realism, with scene optimization enhancing the overall 3D effect.
Finally, the depth estimation model transforms the processed 2D layout into a 3D visualization, which can then be accessed for practical applications. This structured approach leverages multiple preprocessing, enhancement, and transformation techniques to create accurate, realistic, and highly detailed 3D road layout designs.
Fig 3: Business model.
The business model canvas presented here outlines a comprehensive framework for a solution focused on generating and restructuring roadway layouts, targeted primarily at the construction and infrastructure sectors.
Key Partners include construction workers, government project leaders, agencies, and infrastructure companies, who provide essential collaboration and market access. Key Activities
focus on generating efficient road layouts and restructuring roadways to!address issues like congestion and pedestrian safety. This is supported by Key Resources, which include access to robust data sources and computing infrastructure for the design and modeling processes.
The Value Propositions emphasize improved efficiency, sustainable road planning, and the ability to make real-time adjustments, which set this solution apart as adaptable and forward-thinking. The Customer Relationships are maintained through dedicated account managers and ongoing support, ensuring clients receive continuous service and updates.
Channels for reaching customers include direct sales, an online platform, media outreach, and partnerships with construction firms. This multi-channel approach ensures: widespread visibility and accessibility for potential users. The Revenue Streams are generated from subscription fees for premium models, customization fees, and consulting services, providing a diverse and sustainable financial base.
Lastly, the Cost Structure includes expenses related to data acquisition, infrastructure, and operational costs, which are necessary to maintain high-quality service andproduct development. This stmctured business model canvas demonstrates a well-rounded approach to providing innovative solutions for urban infrastructure,
DETAILED DESCRIPTION OF THE INVENTION
Our innovative application is designed as a transformative tool for architects, construction professionals, urban planners, and public works officials, enabling them to streamline and enhance the planning and visualization of road layouts in urban utility spaces. With this application, users can give the input by specific layout details and criteria to. create an accurate 3D representation of either a proposed or existing road design, bringing a nevy level of precision and visual insight to urban planning. The process starts with users specifying-the layout or blueprint of the area they intend to develop or redesign-whether it's a street, an intersection, or an entire metropolitan area. The application is adaptable for a range of scenarios, from initial urban design to the modernization of existing structures. If an existing layout is already known and documented, users can access pre-dr'awn road layouts stored within the app's comprehensive database. This feature saves time and ensures accuracy by allowing professionals to work with verified, preloaded layouts.
In cases where layouts are unavailable or outdated, the application includes a highly interactive drag-and-drop interface. Through this tool, users can customize the shape and structure of roads by adding various components, such as lanes, bike paths, sidewalks, green spaces, signage, utility poles, and more. Each of these elements can be tailored with precise measurements, allowing the user to capture the proportions and relationships of the space accurately. This flexibility ensures that the application's model accurately interprets the current configuration ofthe area, which is particularly useful when redesigning or reconstructing areas based on old, incomplete, or missing data.The ability to customize every part of the road layout and include specified dimensions improves the planning process by ensuring that all critical elements are represented in the model.This level of customization allows urban planners to address specific challenges, such as accommodating existing buildings, adjusting for utility constraints, and aligning with the latest safety regulations.
Once the user has provided all necessary inputs, including both spatial and functional elements, the application employs a powerful Diffusion model to generate an updated road design. This Al-driven model synthesizes all input parameters to produce a layout that respects the user's specified requirements while considering the existing spatial layout. The Diffusion model is highly effective at creating realistic designs that align with urban planning best practices. For example, it incorporates elements that promote safe and organized traffic flow, ensure pedestrian accessibility, and reduce traffic congestion. By combining user inputs with advanced machine learning, the model can generate designs that meet complex criteria, resulting in layouts that balance aesthetic appeal with practicality. The generated road design is produced in a realistic 3D format, employing advanced visualization technologies such as Depth Estimation. This 3D rendering capability provides an immersive experience, allowing users to explore the design in a way that feels lifelike and spatially accurate. Depth Estimation, in particular, enhances the representation by simulating depth and distance, making it easier to visualize relationships between different road elements.
This visual accuracy is invaluable, as it allows users to see precisely how the revised road will look and function within a real-world context. For example, users can examine how intersections align, whether traffic flow paths make sense, and how various components interact to accommodate pedestrian and vehicular traffic. This immersive visualization capability helps architects, project managers, and government officials identify potential design issues, make necessary adjustments, and ensure that all aspects of the layout are optimal before construction begins. This upfront precision is crucial for minimizing errors during implementation and ensuring that the final design meets both aesthetic and functional objectives.
Moreover, the application is built to assist construction workers, architects, and government project managers in developing effective, well-organized roadway designs that improve traffic flow, increase safety, and foster efficient urban environments. With a focus on promoting congestion-free and systematic roadways, this tool ensures that all roadway .elements are optimally positioned to support smooth traffic operations and accessible public spaces. For example, the application can suggest optimal lane configurations to prevent .bottlenecks or recommend the ideal placement of bike lanes to enhance safety. These insights are instrumental in helping users create designs that promote not only effective transportation but also a more
a
user-friendly urban environment for all residents.
Beyond assisting with design, the application serves as a specialized digital tool that aids in the
generation and revision of roadway layouts. This advanced representation of spatial linkages
allows architects and project managers to gain a deeper understanding of the impact of their
designs before implementation. For example, they can assess how changes to a roadway might
affect nearby buildings or public spaces, helping to anticipate and mitigate potential conflicts. By
visualizing these linkages, users can make more informed design decisions that support the
surrounding infrastructure and meet broader urban planning goals.
The application also has specific benefits for government projects. By supporting the development of safe, orderly, and efficient roadways, the tool helps streamline the planning process, enabling faster and more effective collaboration between various stakeholders. Government officials can use the application to ensure that all design criteria are met, that projects comply with local regulations, and that roadway designs are both functional and adaptable to future needs. Additionally, by accommodating the complexities of modem urban infrastructure, the tool provides planners with a way to design roadways that meet current standards while accounting for future growth and technology advancements, such as electric vehicle lanes or smart infrastructure.
Overall, this application represents a forward-thinkiflg approach to urban road design, allowing professionals to create and visualize roadway, layouts that are efficient, safe', and well-suited to the demands of contemporary cities. By leveraging cutting-edge visualization tools and machine learning models, it empowers urban planners, architects, and project managers to transform their concepts into practical, high-quality designs that support a more/organized, functional, and livable urban environment. Through this tool, the complexities of modern urban planning become more manageable, ensuring that roadway designs are both impactful and aligned with the needs of the community.
PEDESTRIAN-FRIENDLY URBAN DESIGN CLAIMS
We claim,
1. The idea of designing road layouts in an app.
2. A method of creating roadway layouts using ML and Gen-AI.
3. The method claimed as in claim 2, which is provided in the app and is accessed by construction site workers and people who undertake government projects.
4. The name of the app, SANSTHA.
5. The user interface of the app.
6. The idea of accepting input
7. As claimed in claim 2, using the area dimensions, traffic intensity and number of pedestrians to create the road layout.
8. As claimed in claim 2, the usage of Depth Estimation for displaying the output (i.e.) the final road layout to the user.
9. As claimed in claim 2, the usage of Diffusion model for generating road layouts.

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