A distributed trajectory control strategy for the connected automated vehicle in an isolated roundabout. Issue 2 (24th November 2021)
- Record Type:
- Journal Article
- Title:
- A distributed trajectory control strategy for the connected automated vehicle in an isolated roundabout. Issue 2 (24th November 2021)
- Main Title:
- A distributed trajectory control strategy for the connected automated vehicle in an isolated roundabout
- Authors:
- Wu, Ruiyi
Jia, Hongfei
Yang, Lili
Miao, Hongzhi
Lin, Yu
Zhang, Yikun - Abstract:
- Abstract: This paper develops a distributed cooperative control strategy (DCCS) to plan and optimize the collision‐free trajectory for the connected automated vehicle (CAV) at an isolated roundabout. The representation of the trajectories of CAVs is defined within a roundabout. The central angle and lane radius are used to indicate the location of vehicles, and the corresponding angular velocity is used to describe the vehicle's speed through the roundabout. This trajectory definition method simplifies the proposed problem into two parts: the trajectory optimization of each vehicle in a specific lane and the lane change coordination of CAVs in the roundabout. To solve the trajectory optimization problem, a mixed‐integer linear programming (MILP) model is formulated at the vehicle level to minimize the travel time and make the trajectory as smooth as possible. A model predictive control (MPC) framework is designed to coordinate lane‐change conflicts and push CAVs' trajectories toward global optimization. The proposed framework integrates the vehicles' trajectory optimization results so that all CAVs reach a consensus. Numerical experiments test the effect of the strategy in terms of traffic efficiency and mobility performance under different demand pattern scenarios. The results show that the proposed RA‐DCCS (Roundabout‐DCCS) can make all CAVs smooth and conflict‐free trajectories and enable vehicles to execute reasonable lane change decisions.
- Is Part Of:
- IET intelligent transport systems. Volume 16:Issue 2(2022)
- Journal:
- IET intelligent transport systems
- Issue:
- Volume 16:Issue 2(2022)
- Issue Display:
- Volume 16, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 2
- Issue Sort Value:
- 2022-0016-0002-0000
- Page Start:
- 232
- Page End:
- 251
- Publication Date:
- 2021-11-24
- Subjects:
- Intelligent transportation systems -- Periodicals
Electronics in transportation -- Periodicals
388.31205 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-its ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4149681 ↗
http://www.ietdl.org/IET-ITS ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17519578 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/itr2.12140 ↗
- Languages:
- English
- ISSNs:
- 1751-956X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20333.xml