WORKSHOP DETAILS

WS11: Connected and Automated Vehicle-based Cooperative Traffic Operation for Urban Driving
( CFP )

Workshop Code: u5yj4

Chair

• Dr. Guoyuan Wu
  Affiliation: University of California at Riverside
  E-mail: gywu@cert.ucr.edu

Co-Chair

• Dr. Yiheng Feng
  Affiliation: University of Michigan Transportation Research Institute
  E-mail: yhfeng@umich.edu

• Dr. Meng Wang
  Affiliation: TU Delft
  E-mail: m.wang@tudelft.nl

Scope and Goals

A tsunami of change has been witnessed in the field of Intelligent Transportation Systems in the past decade, due to the unprecedented advances in information and communications technology. In particular, Connected and Automated Vehicles (CAVs) have been regarded as a very promising solution to a number of socio-economic issues caused by the contemporary urban transportation systems such as congestion, air pollution, and fatality. A variety of CAV related theory, models, technologies and applications have been developed, demonstrated and deployed all over the world. In addition, it is commonly accepted that compared to autonomous driving, the system efficiency of urban traffic operation can be further improved with the introduction of vehicle connectivity and various protocols for cooperative planning/maneuvers. This workshop aims at: 1) providing the audience with information about state-of-the-art development, demonstration and deployment in cooperative urban traffic operation based on CAV technology; 2) discussing the existing hurdles and challenges in both research and practice; and 3) identifying potential research gaps and collaboration opportunities. We encourage the researchers and engineers to contribute to the building of this pillar.

Topics of Interest

• Vehicle-based applications for cooperative traffic operation, e.g., cooperative collision avoidance, cooperative adaptive cruise control, formation control and cooperative lane change
• Cooperative freight operation and logistics
• Cooperative vehicle-infrastructure operation in the urban environment, e.g., integration of vehicle dynamics and traffic signal control
• Modelling and simulation tools for cooperative urban driving
• Holistic performance evaluation for cooperative CAV applications
• Cooperative interaction between vehicles and other transportation modes (e.g., bicyclists, pedestrians)
• Cooperative traffic operation in a partially connected and automated vehicle environment
• Findings and learned lessons from field demonstration or deployment (e.g., Grand Cooperative Driving Challenge)

Schedule

• Advance of Cooperative Driving Strategies for Nonsignalized Intersections
  Li Li, Tsinghua University

• Cooperative Adaptive Cruise Control with Automated Steering
  Jia Hu, Tongji University

• Virtual Coupled Train Formation Control: Make Trains Running Closer
  Jiateng Yin, Beijing Jiaotong University

• Next Generation Traffic Control with Connected and Automated Vehicles
  Yiheng Feng, University of Michigan Transportation Research Institute

• Distributed Consensus-Based Cooperative Highway On-Ramp Merging Using V2X Communications
  Guoyuan Wu, University of California at Riverside