Automated Negotiation Among Autonomous Vehicles

Name of project leader : Dongmo Zhang

Project title: Automated Negotiation Among Autonomous Vehicles

Team members: Dongmo Zhang and Nabil Giweli

Brief summary of your project (200 words maximum): Autonomous driving holds the promise of safer, more convenient, efficient, and environmentally friendly transportation, thereby enhancing the liveability and sustainability of our communities. However, integrating autonomous vehicles into our roads introduces new challenges. A significant issue is how an autonomous vehicle can independently adapt to dynamic road regulations and traffic situations for which it has not been specifically trained. This project aims to investigate the principles and mechanisms of automated negotiation among autonomous vehicles. We will achieve this goal through four interconnected objectives: 1. Develop a Formal Language: Create a formal language to express road traffic and traffic management protocols. 2. Mechanisms for Negotiation: Develop mechanisms enabling autonomous vehicles to negotiate travel agreements. 3. V2I Negotiation Testing: Test and evaluate these mechanisms for vehicle-to-infrastructure (V2I) negotiation. 4. V2V Negotiation Demonstration: Demonstrate vehicle-to-vehicle (V2V) negotiation using physical robots. Upon completing this project, we expect to deliver a solution that enables autonomous vehicles to negotiate travel agreements among themselves and possibly through roadside infrastructure for shared road usage. Partner name/partner contribution (e.g. AusScope/$10000): Dr Dave de Jonge at IIIA-CSIC, Prof Michael Thielscher at University of New South Wales and Prof Laurent Perrussuel atUniversity of Toulouse

CDMS contribution: Two research assistants, one PhD student and two accademic staff members with cash contribution $10000.