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In order to minimize the impact of LC (lane-changing) maneuver, this research proposes a novel LC algorithm in mixed traffic. The LC maneuver is parsed into two stages: one is from the decision point to the execution point (finding a suitable gap), and the other is from the execution point to the end point (performing the LC maneuver). Thereafter, a multiobjective optimization problem integrating these two stages is constructed, in which the comfort, efficiency and safety of the LC vehicle and the surrounding vehicles are simultaneously considered. Through introducing the NSGA-II (Non-dominated Sorting Genetic Algorithm), the pareto-optimal frontier and pareto-optimal solution of this problem is obtained. The nearest point of the frontier to the origin is used as the final solution. Through the micro-level analysis of the operating status of each vehicle, macro-level analysis of the traffic flow state within the LC area, and the sensitivity analysis of pareto-optimal frontier, we verify the performance of our proposed algorithm. Results demonstrate that compared with the existing algorithm, our algorithm could provide the optimal execution point and trajectory with the least impact on surroundings. The operation status of the traffic flow within the LC area has been significantly improved. We anticipate that this research could provide valuable insights into autonomous driving technology.
Hypervolume is widely used in the evolutionary multi-objective optimization (EMO) field to evaluate the quality of a solution set. For a solution set with $mu$ solutions on a Pareto front, a larger hypervolume means a better solution set. Investigati
In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the transition era which will be characterized by mixed traffic (where CAVs and human-driven vehicles (HDVs) share the roadway). Consistent with expectations that CAVs w
Lane-changing (LC) behavior describes the lateral movement of the vehicle from the current-lane to the target-lane while proceeding forward. Among the many research directions, LC duration (LCD) measures the total time it takes for a vehicle to trave
In order to minimize the impact of lane change (LC) maneuver on surrounding traffic environment, a hierarchical automatic LC algorithm that could realize local optimum has been proposed. This algorithm consists of a tactical layer planner and an oper
A two-lane extension of a recently proposed cellular automaton model for traffic flow is discussed. The analysis focuses on the reproduction of the lane usage inversion and the density dependence of the number of lane changes. It is shown that the si