Heterogeneous Traffic Groups Cooperative Driving Behaviours Research under Mixed Traffic Condition
Purpose and goal
The project will develop new methods for evaluating the safety and traffic flow impact when autonomous vehicles mix with manually driven vehicle.
Expected results and effects
The project will provide knowledge that can be used for strategic implementation of traffic safety and decongestion measures, develop and evaluate effectiveness of new advanced safety systems and support adoption of a safe system approach e.g. Vision Zero.
Planned approach and implementation
The project will be divided into four work packages: WP1 - Project management, WP2 -Research activities, WP 3 - Dissemination activities and WP4 Networking and coordination activities. The main research work is carried out within WP2 and further divided in 4 research tasks that has been coordinated between chines and Swedish partners and a first submission has been done by the Chinese side to MOST.
Selpi Selpi (contact)
Researcher at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Crash Analysis and Prevention
Post doc at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Pinar Boyraz Baykas
Associate Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Crash Analysis and Prevention
Wan Chai, Hong Kong
Jingwei Hirain Technologies
Research Institute of Highway (RIOH)
The Swedish National Road and Transport Research Institute (VTI)
Funding Chalmers participation during 2019–2021
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Areas of Advance