Simulation Comparisons of Vehicle-Based and Movement-Based Traffic Control for Autonomous Vehicles at Isolated Intersections

@article{Yang2020SimulationCO,
  title={Simulation Comparisons of Vehicle-Based and Movement-Based Traffic Control for Autonomous Vehicles at Isolated Intersections},
  author={Chen Yang and Xi Lin and Meng Li and Fang He},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2020},
  volume={23},
  pages={22954-22970}
}
  • Chen YangXi Lin Fang He
  • Published 14 August 2020
  • Business
  • IEEE Transactions on Intelligent Transportation Systems
With the advent of autonomous driving technologies, traffic control at intersections is expected to experience revolutionary changes. Various novel intersection control methods have been proposed in the existing literature, and they can be roughly divided into two categories: vehicle-based traffic control and movement-based traffic control. Movement-based traffic control can be treated as updated versions of the current intersection signal control with the incorporation of the performance of… 

Performance of Fixed-time Signal Control at Isolated Intersections in a Connected and Automated Environment: an Analytic Approach

This paper presents an analysis method on two key performance metrics, i.e., average vehicle delay and intersection throughput at isolated intersections under a CAV environment and focuses on Poisson arrival pattern and model the vehicle arrival as a discrete Markov process.

References

SHOWING 1-10 OF 35 REFERENCES

Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment

  • Joyoung LeeB. Park
  • Computer Science
    IEEE Transactions on Intelligent Transportation Systems
  • 2012
A simulation-based case study implemented on a hypothetical four-way single-lane approach intersection under varying congestion conditions showed that the CVIC algorithm significantly improved intersection performance compared with conventional actuated intersection control and improved air quality and energy savings.

Modeling Reservation-Based Autonomous Intersection Control in VISSIM

This paper explores a way to model autonomous intersections through the use of VISSIM, a standard microscopic simulation platform, and introduces the key steps and elements for implementation of ACUTA, a reservation-based intersection control system named autonomous control of urban traffic.

Optimal Placement of Reservation-Based Intersections in Urban Networks

The main purpose of this paper is to find and characterize favorable mixed configurations of reservation-based controls and signalized controls in a large city network which minimize total system travel times and to find that favorable reservation placement is in consecutive chains along highly trafficked corridors.

Multiagent traffic management: a reservation-based intersection control mechanism

  • K. DresnerP. Stone
  • Computer Science
    Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.
  • 2004
This paper proposes a reservation-based system for alleviating traffic congestion, specifically at intersections, and under the assumption that the cars are controlled by agents, and specifies a precise metric for evaluating the quality of traffic control at an intersection.

Multiagent traffic management: an improved intersection control mechanism

The prototype implementation of a reservation-based system for alleviating traffic congestion at intersections is extended in several ways, adding the ability of vehicles to turn, enabling them to accelerate while in the intersection, and augment their interaction capabilities with a detailed protocol such that the vehicles do not need to know anything about the intersection control policy.

Paradoxes of reservation-based intersection controls in traffic networks

Conflict-point formulation of intersection control for autonomous vehicles

Are autonomous vehicles better off without signals at intersections? A comparative computational study

We model and analyze a futuristic intersection that serves only connected, autonomous and centrally managed vehicles. Under consideration are three control strategies that aim to minimize the total

Analysis of Cooperative Driving Strategies for Nonsignalized Intersections

Results indicate the performance of a strategy mainly depends on the passing order of vehicles that it finds, and when the traffic demand becomes high, the “planning-based” strategy yields significantly better performance since it finds better passing orders.