Co-simulation of Microscopic Traffic Simulation and Vehicle Dynamics
- This master's thesis focuses on developing a robust framework for co-simulating microscopic traffic scenarios and vehicle dynamics, leveraging the capabilities of SUMO and CARLA. The essence of this research lies in its meticulous analysis of existing simulation tools, leading to identifying the most effective co-simulation strategies and intercommunication methods. A comparative study elucidates the strengths and limitations of these methodologies, guiding the selection of an optimal approach. Central to the methodology is a thorough understanding and application of SUMO and CARLA, enhanced by the strategic implementation of intercommunication methods. The detailed integration of these tools and the introduction of test automation significantly boost simulation efficacy. The framework's reliability and accuracy are rigorously validated through well-defined procedures and metrics, ensuring fidelity in simulation results. Key to this research is the design of experimental scenarios that reflect real-world traffic conditions underpinned by carefully chosen simulation parameters. These scenarios are pivotal in validating the co-simulation framework's performance, supplemented by a performance cost analysis focusing on processing efficiency. The thesis culminates with a critical discussion of the findings, addressing the research objectives and posing solutions to identified challenges. Potential areas for future enhancements are explored, highlighting the framework's limitations. In conclusion, this thesis contributes significantly to the field of traffic simulation for autonomous driving technologies. It presents a comprehensive co-simulation framework, offering researchers and engineers a sophisticated tool for advanced testing and validation. The insights and recommendations provided are instrumental for ongoing research and development in this rapidly evolving domain.
Author: | Paras Suthar |
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Advisor: | Rick VoßwinkelORCiD, Matthias RichterGND |
Document Type: | Master's Thesis |
Language: | English |
Date of Publication (online): | 2024/01/19 |
Year of first Publication: | 2024 |
Tag: | Autonomous Driving Technology; Co-Simulation; Framework; SUMO and CARLA Validation |
Page Number: | 55 |
Note: | Volltext gesperrt |
Faculty: | Westsächsische Hochschule Zwickau / Kraftfahrzeugtechnik |
Release Date: | 2024/03/14 |