RoadRunner Summary
Fig.1 - Summary.

A tool dedicated to powertrain and Connected and Automated Vehicles R&D. RoadRunner is designed to simulate both powertrain and vehicle longitudinal dynamics, with advanced models of human driver, vehicle-to-vehicle and vehicle-to-infrastructure interactions, and multi-vehicle simulations with a strong focus on energy-efficiency.

A rich library of state-of-the-art models and scenarios. RoadRunner will not only provide a flexible simulation framework, but also an extensive number of default models and scenarios for users to run out of the box. RoadRunner will include state-of-the-art models of CAV technologies such as adaptive cruise control (ACC), cooperative ACC (CACC), platooning, V2X communications, intersection eco-approach, and more. Many models will be informed by our existing validation work.

An efficient workflow for CAV simulations. Users can setup a CAV or human driving scenarios in a few simple steps, allowing to efficiently run a large case studies. The user first defines a scenario: the route, the number of vehicles, the type of vehicle, and the type of CAV technology for each vehicle. RoadRunner then automatically builds the vehicle model (i.e., Simulink diagram), runs the simulation, and post-processes the results for the user to analyze.

RoadRunner Workflow
Fig.2 - Workflow.

Development Roadmap. We originated RoadRunner’s development to support our research on energy-efficient CAVs and eco-driving enabled by connectivity and automation, as we did not find a tool that would meet our requirements. We are now working on the first public release of RoadRunner. If you are interested in becoming a partner, feel free to contact us.

Development team: Dominik Karbowski (Team Lead), Namdoo Kim, Jihun Han, JJ (Jeongryeol) Jeong, Daliang Shen

Technical Manager

Dominik Karbowski