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IPOD Abstract for presentation (Poster or Podium)

CAV Impacts

1666635 - RealTwin: Automated Scenario Generation Tool for Microsimulation of Connected and Automated Vehicles

Tuesday, June 18, 2024
10:00 AM - 10:25 AM ET
Room: 219
Abstract:

The presence of Connected and Automated Vehicles (CAVs) in traffic fleets holds the potential to reshape the landscape of urban mobility. Microscopic traffic simulation, which captures the intricacies of individual vehicle movements within a transportation network, is often used to study CAV impacts, in terms of mobility, energy efficiency, and safety, on transportation systems. However, the development of a microscopic traffic simulation model for such studies entails challenges such as the integration of diverse data streams, the generation of realistic traffic scenarios, the modeling of CAV driving behaviors, and the calibration of generated simulations. To overcome these, this study presents Real-Twin, a tool for automated scenario generation to study CAV impacts in traffic microsimulation. First, this study shows that by providing a streamlined workflow for simulations of CAVs, Real-Twin effectively bridges gaps between diverse traffic data sources and traffic simulators and automates the process of data integration, scenario generation, simulation construction, and calibration. This enables researchers and engineers, regardless of their level of expertise, to effortlessly utilize microscopic simulations to acquire in-depth analyses and insights into traffic networks with CAVs. Second, using SUMO, VISSIM, and AIMSUN as examples, guidance on utilizing Real-Twin to generate realistic CAV scenarios in the prevailing microscopic traffic simulators and calibrate the resulting simulations is presented. The simulation results showcase the tool’s capability to automate the construction of realistic, consistent, and comparable simulations across different platforms, ensuring reliable evaluations of the impacts of CAVs on traffic mobility, energy efficiency, and safety. Finally, the generated scenarios are integrated with vehicle dynamic simulators, such as IPG Carmaker and Carla, to enable software-in-the-loop co-simulations in this study. These co-simulations encompass detailed vehicular dynamics, sensor models, and 3D digital twins that can be used to study high-fidelity CAV impacts.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Upon completion, participant will be able to integrate diverse data streams into a consistent and unified traffic microsimulation scenario using the Real-Twin tool.
  • Upon completion, participant will be able to develop realistic traffic scenarios that accurately represent CAV driving behaviors and calibrate these scenarios to reflect the real-world conditions.
  • Upon completion, participant will be able to conduct reliable evaluations of the impacts of CAVs on traffic mobility, energy efficiency, and safety.