Abstract
Currently, the increase of transport demands along with the limited capacity of the road
network have increased traffic congestion in urban and highway scenarios. Technologies such as
Cooperative Adaptive Cruise Control (CACC) emerge as efficient solutions. However, a higher
level of cooperation among multiple vehicle platoons is needed to improve, effectively, the traffic
flow. In this paper, a global solution to merge two platoons is presented. This approach combines:
(i) a longitudinal controller based on a feed-back/feed-forward architecture focusing on providing
CACC capacities and (ii) hybrid trajectory planning to merge platooning on straight paths. Experiments
were performed using Tecnalia’s previous basis. These are the AUDRIC modular architecture
for automated driving and the highly reliable simulation environment DYNACAR. A simulation test
case was conducted using five vehicles, two of them executing the merging and three opening the gap
to the upcoming vehicles. The results showed the good performance of both domains, longitudinal
and lateral, merging multiple vehicles while ensuring safety and comfort and without propagating
speed changes.
Original language | English |
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Article number | 2626 |
Pages (from-to) | 2626 |
Number of pages | 1 |
Journal | Sensors |
Volume | 21 |
Issue number | 8 |
DOIs | |
Publication status | Published - 8 Apr 2021 |
Keywords
- Hybrid trajectory planning approach
- CACC
- Cooperative merging
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/875530/EU/SHared automation Operating models for Worldwide adoption/SHOW
- Funding Info
- This research was supported by the European Project SHOW from the Horizon 2020 program under Grant Agreement No. 875530.