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Human-in-the-loop Simulation and Testing Platform

Tags

Scope:

Sensing & Evaluation System Applications

Keywords:

Human-in-the-Loop (HuiL) Dyno-in-the-Loop (DiL) Multi-Human-in-the-Loop (MHuiL) Co-simulation Framework Vehicle Dynamics Testing Game Engine Simulation CARLA Simulator Unity Game Engine Traffic Simulation Hardware-in-the-Loop Real-time Validation Plug-in Hybrid Electric Bus (PHEB)
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Project Overview

Comprehensive simulation and testing platform integrating human drivers with virtual environments and real vehicle hardware. Combines Dyno-in-the-Loop testing, game engine simulations, and traffic modeling to validate connected and automated vehicle technologies in realistic scenarios.

  • Dyno-in-the-Loop (DiL) platform integrating real vehicle hardware with virtual traffic environments
  • Multi-Human-in-the-Loop (MHuiL) co-simulation framework enabling multiple human drivers in shared virtual scenarios
  • Game engine-based simulation using Unity and CARLA for immersive human-vehicle interaction studies
  • Traffic simulation integration with SUMO and VISSIM for realistic traffic flow modeling
  • Real-time validation platform for personalized driving algorithms and vehicle control systems
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Methodology

Multi-level simulation architecture combining hardware-in-the-loop testing with software simulation environments to create comprehensive validation platform for autonomous and connected vehicle technologies.

  • Hardware Integration: Real vehicle on chassis dynamometer with CAN bus data acquisition and powertrain control
  • Virtual Environment: CARLA and Unity-based 3D simulation environments with realistic traffic scenarios
  • Co-simulation Framework: Integration of vehicle dynamics, traffic flow, and human driver models in unified platform
  • Multi-Human Support: Simultaneous multiple human drivers in shared virtual scenarios via networked simulation
  • Real-time Communication: V2V and V2I communication protocols with realistic network delay modeling
  • Validation Methods: Comparative analysis between simulation and real-world driving data for algorithm validation
DiL platform flowchart

DiL platform flowchart

DiL platform powertrain optimization

DiL platform powertrain optimization

DiL platform vehicle dynamics optimization

DiL platform vehicle dynamics optimization

Game engine-based simulation for driver personalization studies

Game engine-based simulation for driver personalization studies

Results & Impact

Successfully demonstrated comprehensive simulation platform capabilities across multiple vehicle types and scenarios, with validated improvements in energy efficiency and driving behavior modeling.

  • PHEB Eco-Operation: 13-15% fuel consumption reduction through coordinated vehicle-powertrain optimization
  • Real-time Performance: Achieved stable co-simulation with <10ms latency for human-in-the-loop interactions
  • Multi-Human Validation: Successfully tested up to 8 simultaneous human drivers in shared virtual scenarios
  • Personalization Validation: P-ACC algorithm testing showed 93.4% reduction in driver takeover frequency
  • Traffic Integration: Seamless integration with SUMO/VISSIM traffic models for realistic scenario testing
  • Hardware Validation: Dyno-in-the-Loop testing validated across passenger cars, transit buses, and electric vehicles
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Videos & Demos

DiL Presentation at SAE World Congress 2020

Modularized PHEB Modeling