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Sökning: id:"swepub:oai:DiVA.org:kth-316063" > A Trajectory Optimi...

A Trajectory Optimization-Based Intersection Coordination Framework for Cooperative Autonomous Vehicles

Zhang, Yixiao (författare)
KTH,Skolan för elektroteknik och datavetenskap (EECS)
Hao, R. (författare)
Zhang, T. (författare)
visa fler...
Chang, X. (författare)
Xie, Z. (författare)
Zhang, Q. (författare)
visa färre...
 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2022
2022
Engelska.
Ingår i: IEEE transactions on intelligent transportation systems (Print). - : Institute of Electrical and Electronics Engineers (IEEE). - 1524-9050 .- 1558-0016. ; 23:9, s. 14674-14688
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Since vehicles from multiple roads frequently merge at intersections, it formulates a typical traffic bottleneck of modern transportation systems. Proper vehicle coordination and motion plan at road intersections are of importance to guarantee safety as well as improving the traffic throughput, fuel efficiency and so on. In this paper, we try to present a general dedicated intersection coordination framework for autonomous vehicles, where both high- and low-level planners are appropriately designed and integrated. In the high-level planner, two different strategies are formulated to coordinate the autonomous vehicles to generate reference trajectories and feasible ``tunnels'', respectively. Especially, a novel space-time-block based resource allocation scheme is presented to describe the feasible tunnels. Furthermore, to avoid collisions with unexpected obstacles such as pedestrians, bicycles or other vehicles with human drivers, a low-level planner is designed to generate practical trajectories based on the solutions from the high-level planner, according to their local on-board observations. Simulations and practical experiments are carried out, to show that our proposed coordination framework can achieve obvious performance advantages in various traffic metrics, including the throughput, fairness in driving maneuvers and driving comfort, etc. We also find that the high-level planner is effective in eliminating possible deadlocks among autonomous vehicles, which is rarely discussed in existing investigations.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Farkostteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)

Nyckelord

Autonomous vehicles
motion planning
multi-agent systems
Road transportation
Roads
Safety
System recovery
Throughput
Trajectory
Trajectory optimization
trajectory optimization.
Aerodynamics
Intelligent vehicle highway systems
Motor transportation
Roads and streets
Traffic control
Trajectories
Coordination frameworks
Motion-planning
Traffic bottleneck
Multi agent systems

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Av författaren/redakt...
Zhang, Yixiao
Hao, R.
Zhang, T.
Chang, X.
Xie, Z.
Zhang, Q.
Om ämnet
TEKNIK OCH TEKNOLOGIER
TEKNIK OCH TEKNO ...
och Maskinteknik
och Farkostteknik
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