Publication | Closed Access
Optimization based trajectory planner for multilane roundabouts with connected automation
14
Citations
31
References
2022
Year
Multilane RoundaboutsPath PlanningIntelligent Traffic ManagementTrajectory PlanningEngineeringRoad Traffic ControlTrajectory PlannerRoute PlanningVehicle ControlAutomationSystems EngineeringPassing Sequence OptimizationTraffic Signal ControlPlanningRoboticsTransportation EngineeringTrajectory OptimizationTraffic Management
This paper proposes a trajectory planner for multilane roundabouts. The goal is to enhance the existing roundabout in terms of capacity with the help of connected automation. The trajectory planner is formulated as a bi-level optimization. The upper level is a passing sequence optimization, which determines the passing sequence of the approaching vehicles to achieve delay minimization. The lower level is a speed optimal control aiming at minimizing fuel consumption while honoring the pass sequences generated from the upper level optimization. The proposed planner is evaluated in simulation on a typical four-arm roundabout with two entrance lanes in each arm. Compared with the traditional yield-regulated control, the proposed approach can reduce the delay by 69.6% to 87.8% and fuel consumption by 24.7% to 28.6%. Compared with the first-come-first-service (FCFS) control, the proposed approach can reduce the delay by 33.5% to 81.9% and fuel consumption by 7.5% to 18.8%. The change in benefit is due to the variation of demand.
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