Urban connected vehicle lane planning based on improved Frank Wolfe algorithm.

ABSTRACT: As the new generation of information technology matures and improves, the functions of intelligent connected vehicles become more and more perfect, and the number of urban connected vehicles is also increasing. To provide an effective optimization scheme to the mixed traffic flow road network in the networked environment, the study investigates the lane planning for urban connected vehicles method. First, a lane planning for urban connected vehicles bi-level programming model is constructed. Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respective

SUBMITTER: Jiang A 

PROVIDER: S-EPMC12013868 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature