From Optimizable to Interactable: Mixed Digital Twin-Empowered Testing of Vehicle-Infrastructure Cooperation Systems
From Optimizable to Interactable: Mixed Digital Twin-Empowered Testing of Vehicle-Infrastructure Cooperation Systems explores IMPACT is an interactive testing framework for vehicle-infrastructure cooperation systems that enhances corner-case generation through human interaction.. Commercial viability score: 7/10 in Vehicle-Infrastructure Cooperation Systems.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisVIGIL: Towards Edge-Extended Agentic AI for Enterprise IT SupportViability: 3.0
- Builds On ThisTDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact AnalysisViability: 6.0
- Builds On ThisThe Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential OutcomesViability: 2.0
- Prior WorkMulti-Source Human-in-the-Loop Digital Twin Testbed for Connected and Autonomous Vehicles in Mixed Traffic FlowViability: 7.0
- Prior Work