Coordination of multiple autonomous intersections by using local neighborhood information

Wuthishuwong, Chairit; Traechtler, Ansgar

doi:10.1109/iccve.2013.6799768

Cited by 20 publications

(13 citation statements)

References 12 publications

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“…On the other hand, the CIC approach reacts to the in-flow change and maintains its performance. Video 3 3 shows the aforementioned results. These comparisons help to demonstrate that the CIC methodology is robust to the changes in traffic flow maintaining an almost constant average delay and average velocity through the intersection without using knowledge on the inflow.…”

Section: B Comparison Of Cic To a Traffic Lights Scenariomentioning

confidence: 81%

“…Both approaches aim to determine a safe and efficient crossing sequence of vehicles through an intersection. Centralized approaches [2], [3], allow to optimize certain measures, such as average delay or the overall flow of vehicles, while distributed approaches [4], [5], rely on road priority to assign a suitable crossing sequence. The existing solutions to manage an automated intersection can be categorized as Cooperative Resource Reservation approaches and Trajectory Planning approaches (as categorized in [6]).…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Intersection Control Based on Virtual Platooning

Medina

Wouw

Nijmeijer

2018

IEEE Trans. Intell. Transport. Syst.

103

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Section: B Comparison Of Cic To a Traffic Lights Scenariomentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Cooperative Intersection Control Based on Virtual Platooning

Medina

Wouw

Nijmeijer

2018

IEEE Trans. Intell. Transport. Syst.

103

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“…In addition, the works in Refs. [46,47] are extended in the coordination method and the relationship with the macroscopic traffic model for controlling networked of autonomous intersections.…”

Section: Contributionmentioning

confidence: 99%

Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method

Wuthishuwong

Traechtler

2019

Complex Intell. Syst.

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Autonomous and intelligent system show a remarkable step in urban traffic management. Autonomous Intersection Management (AIM) is an outstanding example of using an autonomous vehicle and wireless communication technology. The traffic performance of a single AIM system has been proved in many works however, traffic in the network of multiple AIMs is waiting for an implementation. Coordination of traffic between intersections in the network is an important step of managing the overall networked traffic throughput. The authors modeled the traffic network with the multi-agents concept and used the discrete consensus algorithm to coordinate between autonomous agents and implemented the rerouting algorithm in order to distribute the excessive traffics to neighbored intersections with the optimal condition. Our target is to have a balance traffic in each intersection and reaches the equilibrium where the stability has been not compromised. The results show that reaching consensus condition will bring the networked traffic to an equilibrium state where a peak traffic will not be happened. In addition, this method shows that when traffic in a network reached consensus, it will also converge to the Nash equilibrium in the finite time.

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“…Using the central approach, the traffic flow is controlled from a single center whereas using decentralized approach, all vehicles communicate with each other and some local coordinators to ensure road organization. Reservation method [7]- [10], intersection coordination [11], [12] and intelligent systems [13], [14] are subtitles of the central approach.…”

Section: Introductionmentioning

confidence: 99%

A Novel Safe Merging Algorithm for Connected Vehicles Using NetLogo

Bozuyla¹,

Tola²,

Murat³

2018

ElAEE

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In this paper, we present two new algorithms for MetroCar System (MCS) vehicles at a merging zone. First algorithm states the regulations of vehicles in the same road such as control the following vehicle's to prevent collision with the frontier vehicle. Second algorithm is for merging section of roads in order to prevent any collision at merging point. The proposed algorithms are verified and validated by using simulation results of the NetLogo simulation software. The simulation results show that the proposed algorithms guarantees that no collision occur at the merging zone.

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Coordination of multiple autonomous intersections by using local neighborhood information

Cited by 20 publications

References 12 publications

Cooperative Intersection Control Based on Virtual Platooning

Cooperative Intersection Control Based on Virtual Platooning

Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method

A Novel Safe Merging Algorithm for Connected Vehicles Using NetLogo

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