Collaborative multi‐lane scheduling strategy for connected and automated vehicles on highway interchange using rolling traversal scheduling

With the rapid development of transportation infrastructure, highway interchanges have become critical nodes in the network, where congestion frequently occurs. Existing research on congestion mitigation in such regions is limited, often focusing on individual bottlenecks, which may overlook interactions between diverging and merging areas. Some other research adopted a macroscopic traffic flow perspective, without microscopically mitigating right‐of‐way conflicts caused by lane‐changing demands of vehicles. To address this gap, this study proposes a collaborative multi‐lane scheduling strategy for connected and automated vehicles under a cloud control system. By jointly optimizing vehicle passing sequences in both diverging and merging zones, the proposed method aims to improve overall traffic efficiency. Key contributions include a rolling traversal mechanism for global scheduling, a discretionary lane‐changing strategy for enhanced lane utilization, and a double‐checked trajectory planning approach that balances efficiency and comfort. This framework offers a scalable solution to alleviate congestion at complex highway interchanges under high traffic demand.