This foundation session will cover use of the Traffic Simulation tool to analyze traffic flow through intersections, display color-coded traffic-analysis results, and generate traffic-simulation animations to play in your model. More importantly, the Traffic Analyst panel enables you to specify advanced demand matrices, profiles, vehicle types, driver types, and other variables. This session features AutoCAD Civil 3D, AutoCAD Civil 3D, and InfraWorks 360.

Learn how you can use InfraWorks software to create base traffic models by importing surfaces, roads, and real traffic data, and defining traffic turning movements. Once the base model is completed, you can use InfraWorks Traffic Simulation to create construction proposals to understand how the level of service is impacted once lanes are shut down, and how an alternate intersection is created to simulate proper vehicle movements at the merging point.

This class shows you how to use Civil View traffic import tools in 3ds Max Design software to bring in traffic simulation data from PTV Vissim. We examine how to prepare your data in VISSIM, how to bring that data into 3ds Max Design using Civil View, and how to handle conflicts such as overpasses. We then talk about various ways to use this data once it is set up, including how to export from 3ds Max Design to another 3D package such as Maya® software. You also learn how to replace the imported data with actual vehicles from the Civil View Vehicle library and how to use your own car library.

During the session we will cover the entire process of a road rehabilitation project. The very first step will define the construction regions to minimize the impact of road closure. The design will start with processing laser scan data in ReCap software and InfraWorks software to create objects like terrain, horizontal feature lines, and vertical features. You will learn the best practices to bring the results to Civil 3D software. Next, we will create a road rehabilitation project in Civil 3D, which will include best-fit alignment and rehab corridor. You will also learn best practices for how to smooth the vertical profile to meet design criteria. After finishing corridor, we will analyze the design and use dynamic model to iterate the design to satisfy the requirements like minimum cross slope and so on.

Flushing large-diameter transmission water mains is a critical yet complex step in maintaining water quality. This session will highlight how InfoWater Pro was used to plan the flushing of more than six miles of 36-inch pipe by modeling hydraulic conditions, reversing flow direction, and optimizing valve and tank operations. You’ll learn about modeling guided decision making to increase flow rates for scouring while avoiding disruptions to customer service. Through a focused case study, this session will illustrate how to integrate hydraulic modeling and operational strategy to support effective large-main flushing.

In this session, you'll join leaders from Autodesk’s product development and impact (Sustainable Design) teams, customers, and partners to learn about new tools and workflows that provide total carbon data analysis and insights across planning, design, and construction. This session will include demonstrations of carbon data analysis and insights using Autodesk Forma, Revit, Insight, and Autodesk Construction Cloud. We'll go under the hood to explain how these tools work on their own and together across planning, design, and construction. We'll also talk about the future development of these tools and how the Forma industry cloud is helping provide clear, consistent guidance toward lower carbon emissions in a more open, extensible, and collaborative way.

Sustainable Design often feels overwhelming, entangled in complex metrics and elusive goals. This session unveils how Symetri’s Co-Innovation Lab (COIL) transforms that complexity into clarity. By rethinking traditional Sustainable Design workflows, COIL has developed streamlined, actionable strategies that empower design and construction teams to make immediate, meaningful changes.​ Through select client success stories—including innovative collaborations with firms like BamCore and Bernheimer Architecture—you’ll see how simplified, data-driven approaches can reduce carbon footprints, enhance design efficiency, and meet regulatory demands without added complexity. Attendees will leave with practical insights into COIL’s methodology and a fresh perspective on integrating Sustainable Design seamlessly into everyday practice.​

This case study will explore the transformative impact that Autodesk Forma software has on environmental simulations and urban design, empowering designers to reclaim tasks that have traditionally relied on specific experts or skilled individuals. Using Forma, we’ve achieved remarkable milestones, including a 400% increase in implementation projects, a tenfold expansion in the diversity of simulations, and an 80% cost reduction. These advancements are “democratizing simulations,” making them accessible to a wider range of designers. Additionally, we’ve customized libraries and workflows to align with Japan-specific regulations, resulting in a 300% increase in implementation projects and a reduction in the lead time for initial outputs by a third. Through innovative application of Forma, designers have experienced significant improvements in both the scope and speed of their work. In this session, we’ll share detailed insights into our workflow, the challenges we’ve faced, and the solutions we’ve developed.

Discover how simulation and AI are transforming engineering in the built environment. This session explores how simulation-generated data powers AI, how digital engineering practices enable scale, and how strategic partnerships are accelerating adoption. Learn how to move from reactive workflows to intelligent, AI-driven design—while addressing real-world challenges like cost, safety, Sustainable Design, and performance uncertainty. Ideal for AEC professionals, engineers, and innovation leaders looking to apply AI in practical, scalable ways.

How can urban design decisions shape the livability and resilience of communities? This session explores how Autodesk Forma can simulate and optimize environmental factors such as daylight access, green space integration, and the role of vegetation in reducing heat and noise. Attendees will learn how to create and compare design scenarios to visualize the environmental impacts of human-centric planning while integrating data overlays for deeper insights. By combining AI-powered tools with innovative workflows, this session highlights how technology can unlock new possibilities for designing communities that thrive in the face of climate and urbanization challenges.

Autodesk Research has a number of C++ toolkits—e.g., for spatial analysis and multi-agent simulation—that would previously only have been used in desktop or server-side applications. With Emscripten and WebAssembly, we can now take these codebases and use them directly in browser-based applications, whether using Autodesk Viewer, Autodesk Tandem, or Autodesk Forma. In this session, we will take a close look at bringing C++ codebases to the web, using a Forma extension as an example. Come along to experience the power you can bring to Autodesk Platform Services applications by integrating advanced libraries and toolkits via WebAssembly!

This case study demonstrates the benefit of implementing a small 2D domain within an existing 1D InfoWorks ICM model to optimize the size and location of a planned storage facility and reduce overland flooding in a dense suburban neighborhood in the City of Toronto. Recent flooding imagery captured in 2018 and 2020 showed significant flooding in Woodborough Park and visible damage to facilities. The project team planned and designed drainage and storage mitigations by building a small-scale 2D surface model of the park and surrounding catchment area (39 hectares) within the larger 1D InfoWorks ICM model being used to plan and design the Fairbank Storm Trunk Sewer System Project. This approach enabled the designers to optimize the size of the storage facility and realize a 35% reduction in construction costs. We’ll present the approach used to develop the model, and there will be a discussion on what considerations should be given before adopting this approach to ensure the maximum benefit to the project.

The integration of artificial intelligence (AI) into design and engineering is revolutionizing the development process by accelerating development cycles. AI driven processes empower designers and engineers to create, evaluate, and optimize products with unparalleled efficiency: Better products faster.

Join industry leaders as they explore how artificial intelligence (AI) agents are transforming engineering workflows and redefining possibilities across the Design and Make sectors. This panel brings together pioneers from diverse disciplines to share real-world implementations, challenges, and breakthrough opportunities emerging from AI agent integration. Panelists will discuss how these technologies move beyond traditional Automation, Integration, & Customization to become true collaborative partners in the design process. From optimizing complex systems and automating routine tasks to enabling entirely new approaches to problem-solving, discover how leading organizations are using AI agents to enhance human capabilities rather than replace them.

Huge volumes of drinking water are lost to background leakage during distribution. This entails large financial and environmental footprints from extraction, transport, treatment, storage, and pumping. While water models usually simplify leakage to behave as fixed demands, InfoWater Pro software’s new modeling capabilities explicitly incorporate the sensitivity of losses to pressure changes. In this session, we will demonstrate how to easily convert a regular distribution model into one with realistic leakage using a new allocation tool. Both hydraulic and asset pipe information (such as age, number of connections, and material) is used to determine realistic allocations of known leakage amounts per zone to individual elements. Moreover, we will explore how a leakage-aware model can lead to detailed spatiotemporal estimates of water loss under different operating scenarios, and lead to precise quantifications of the economic and hydraulic effects of asset replacement and pressure-control programs.

Understand the power of models, data, and management working and evolving together with shared tools across one environment. Through the lens of a vast, 270,000 sf greenfield pharmaceutical manufacturing facility project, CRB shares how their team flowed through multiple phases from design to operations for this advanced digital facility. This session outlines how data and models from previous phases of a Digital Prototyping project can be used to better inform and improve the subsequent phases and the overall optimization of a factory’s production. Supporting the facility, tools like ACC, Revit, and Plant 3D enabled effective project, document, and Field Engineer, with Modeling to support turnover and proactively avoid issues. Autodesk tools continued to shake hands and support the project through factory operations, with tools like FlexSim to justify the business case, develop operating strategies, and detect future production inefficiencies.

Thames Water and Stantec in the United Kingdom have developed an innovative methodology to build a long-term investment plan for London’s clean-water network, serving 8 million customers. This work defines how the future London water network should look like using hydraulic modeling and an optimization framework to identify the best value investment options. It handled extensive data from various sources. A strategic network model (InfoWorks WS Pro software) was prepared, incorporating current and future (25 years) supply-and-demand scenarios to identify needs. Optimatics Optimizer tested numerous solution combinations, calculating cost and hydraulic performance to develop the best value plan. This optimization process required the combined effort of Optimizer processing power, hydraulic modeler input, and stakeholder engagement to select and refine investment plans of interest. The session will provide an overview of the approach we took, and present the results and lessons from the above project.

In 2024, Porto Alegre faced historic floods that impacted more than 157,000 people and 46 neighborhoods, with the Guaíba River rising above 5.33 meters. With 142 high-risk areas mapped, the city needed urgent, resilient solutions within 12 months. This case study shows how Autodesk tools—InfoWorks ICM, Civil 3D, and InfraWorks software—and ArcGIS Pro were used to model flooding, design containment strategies, and develop resilient infrastructure for slopes and roads. The integrated workflow enabled the analysis of three alternatives, balancing cost, time, and performance. Autodesk technologies provided agility and accuracy, and reduced rework, supporting faster and smarter decisions. The project also advanced environmental, social, and governance (ESG) goals through sustainable, inclusive, and data-driven planning, proving the critical role of digital solutions in climate-resilient urban infrastructure.

In the summer of 2023, Cleveland, Ohio, faced extreme convective storms that caused localized flooding due to intense rainfall overwhelming catch basins. However, a catchment flood model simulation showed no flooding, highlighting the model’s failure to capture surface water. To address catchment model limitations, Northeast Ohio Regional Sewer District (NEORSD) partnered with MIT to develop a regional, 2D, ICM model. This research develops a scalable, data-driven, pluvial flood model using a 2D, rain-on-mesh, ICM hydrodynamic model with detailed urban textures. The ICM model findings accurately replicated observed flood locations. High-resolution model validation is key, supported by advances in sensors, monitoring, and crowd-sourced data (though often underused). NEORSD and the City of Cambridge (Massachusetts) offer rich data sets. This presentation will showcase a novel validation framework integrating remote sensing and real-time data, applied to a city-scale, high-resolution flood model in Cleveland and Cambridge in collaboration with local agencies.

Process bottlenecks and related issues often require complex and dynamic solutions. Discover how FlexSim recommends process improvements from live data, and see how the FlexSim OptQuest optimization engine solves multidimensional problems. OptQuest uses machine learning to evaluate multiparameter input groups in order to strategically determine optimal outcomes across various performance objectives. This method provides faster and more intelligent solutions to intricate problems than manual techniques do. In scenarios with constantly evolving operational inputs, FlexSim can be configured as a live Digital Prototyping, continuously operating at set intervals, and using live data streams based on system feedback and artificial intelligence (AI) predictions. This approach necessitates specific model programming, which we will explore. By implementing these advanced techniques, businesses can significantly improve their process optimization capabilities, addressing complex challenges more effectively than traditional methods allow.