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A Priority-Based Autonomous Intersection Management (AIM) Scheme for Connected Automated Vehicles (CAVs)
| Content Provider | MDPI |
|---|---|
| Author | Zhang, Hui Zhang, Rongqing Chen, Chen Duan, Dongliang Cheng, Xiang Yang, Liuqing |
| Copyright Year | 2021 |
| Description | In this paper, we investigate the intersection traffic management for connected automated vehicles (CAVs). In particular, a decentralized autonomous intersection management scheme that takes into account both the traffic efficiency and scheduling flexibility is proposed, which adopts a novel intersection–vehicle model to check conflicts among CAVs in the entire intersection area. In addition, a priority-based collision-avoidance rule is set to improve the performance of traffic efficiency and shorten the delays of emergency CAVs. Moreover, a multi-objective function is designed to obtain the optimal trajectories of CAVs, which considers ride comfort, velocities of CAVs, fuel consumption, and the constraints of safety, velocity, and acceleration. Simulation results demonstrate that our proposed scheme can achieve good performance in terms of traffic efficiency and shortening the delays of emergency CAVs. |
| Ending Page | 544 |
| Page Count | 12 |
| Starting Page | 533 |
| e-ISSN | 26248921 |
| DOI | 10.3390/vehicles3030032 |
| Journal | Vehicles |
| Issue Number | 3 |
| Volume Number | 3 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-08-13 |
| Access Restriction | Open |
| Subject Keyword | Vehicles Transportation Science and Technology Autonomous Intersection Management Connected Automated Vehicles Crossing Priority Optimal Trajectory |
| Content Type | Text |
| Resource Type | Article |
