Research on Cooperative Driving Strategies for Autonomous Intersection in Internet of Vehicle 2020-01-5209
Based on the intelligent transportation system, this paper focuses on the control method of the autonomous intersection. First of all, a vehicle scheduling method based on global planning is presented for the active intersection under the environment of sparse traffic. This method is a collaborative control strategy that optimizes the order of vehicles through the intersection. By modeling the vehicle at the intersection, vehicle information and road information are used to set up a control strategy for all vehicles in a specific range, so that all vehicles can be controlled to optimize the global travel time. Finally, we build an intersection simulation experiment platform which is used to simulate the intersection vehicle control strategy. The simulation results show that the proposed method has a good effect on the intersection vehicle control under the sparse traffic environment.
Citation: Li, L., Liu, M., Yang, Z., and An, Y., "Research on Cooperative Driving Strategies for Autonomous Intersection in Internet of Vehicle," SAE Technical Paper 2020-01-5209, 2020, https://doi.org/10.4271/2020-01-5209. Download Citation
Author(s):
Lin Li, MingFeng Liu, ZhiQiang Yang, Yisheng An
Affiliated:
Chang’an University, China
Pages: 8
Event:
3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Intelligent transportation Systems
Autonomous vehicles
Simulation and modeling
Planning / scheduling
Research and development
Optimization
Collaboration and partnering
Internet
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »