A Priority-Based Conflict Resolution Strategy for Airport Surface Traffic Considering Suboptimal Alternative Paths

Jiang, Yu; Liu, Zhenyu; Hu, Zhitao; Zhang, Honghai

doi:10.1109/access.2020.3045586

Cited by 9 publications

(8 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A conflict situation at an intersection can be considered a game. A game in [8] is represented by a situation in which individuals (the players) must choose among several possible actions (strategies) in a predefined format (the rules of the game). These choices give an outcome to the game (the solution), which is associated with a positive or negative payoff for each participant.…”

Section: Behavioral Simulation: Backgroundmentioning

confidence: 99%

Agent-based management and coordination of aircraft at intersections

Ouassam

DABACHINE

Hmina

et al. 2023

Preprint

View full text Add to dashboard Cite

This work presents a game-theoretic approach to address the problem of coordination and scheduling of aircraft at intersections, with the goal of avoiding conflicts and potential collisions. The proposed algorithm enables simple agents to work together in a way that leads to cooperative behaviors, resulting in equilibria that improve the overall efficiency of the system. The researchers tested and compared the game-theoretic approach with a centralized approach, specifically First-Come-First-Serve (FCFS), using data from Mohammed 5 Casablanca airport. The initial results suggest that the game-theoretic model is promising, despite its higher complexity. The approach has the potential to improve the overall coordination and scheduling of aircraft, leading to a more efficient and safe system. The proposed game-theoretic approach is designed to improve the coordination and scheduling of aircraft at intersections, ultimately leading to a safer and more efficient system. The approach is shown to be promising in initial testing, offering a potentially superior alternative to centralized approaches like FCFS. This research highlights the potential benefits of game-theoretic models in addressing complex coordination problems in multi-agent systems.

show abstract

Section: Behavioral Simulation: Backgroundmentioning

confidence: 99%

Agent-based management and coordination of aircraft at intersections

Ouassam

DABACHINE

Hmina

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Zhou and Jiang (2015) follow the priority principle that a departure aircraft is given priority over an arrival aircraft, and a larger aircraft is given priority over smaller aircraft. The priority assignment of aircraft can have a heavy impact on the efficiency of airport operations as illustrated by Jiang et al (2020) who reduced the total waiting time by 50% and running time by 43.6 seconds by taking the aircraft priority into account during conflict resolution as compared to a common conflict resolution strategy (FCFS and aircraft can only avoid conflicts by waiting). Their priority assignment method, even though more sophisticated, was still based on rules regarding aircraft characteristics.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Modelling Aircraft Priority Assignment by Air Traffic Controllers During Taxiing Conflicts Using Machine Learning

Duggal

Tran

Pham

et al. 2022

2022 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

Conflicts between taxiing aircraft are resolved by making the aircraft with lower priority wait, slow down, or change their path. Prevalent priority assignment is based on rules such as First Come First Serve. However, this is not viable as priority assignment done by an air-traffic controller (ATC) based on multiple factors. Thus, a machine learning approach is proposed to mimic an ATC's priority assignment. Firstly, the potential conflict scenarios between two aircraft from historical data, which are resolved, are detected and extracted. Then a Random Forest model is developed to learn ATC's behaviors. The model mimics ATC's behavior with an accuracy of 89% and can thus be an effective approach for priority assignment in path-planning and conflict resolution. Further analysis indicates that features such as unimpeded time difference, distance to destination and start, and speed are major considerations that affect the ATC's decisions.

show abstract

“…􏼈 􏼉 #update objective phase number ( 14) iff(i) ≜ i, then (15) Δg←d lr /S − E[ar(t lr ttoc )] − t lr ttoc #update green extension for current phase ( 16) else iff(i) ≠ i, then (17) t eta ←d/S #update waiting time of phase switch (18) end ALGORITHM 1: phase switch strategy. In Figure 5(c), with time lapses, when TTOC is only 10 s (actual green interval equals 30), if priority request responses at that time, the single-vehicle DPW value of phase one reaches a peak and comes to equal with that of phase two.…”

Section: Numerical Simulation Experimentmentioning

confidence: 99%

“…A trafc-responsive signal control system is presented for signal priority on conficting transit routes. Tey provided signal timings that minimized the total person delay of an intersection and allocated weights to the vehicles based on their occupancy [17]. However, these programming algorithms almost regard the priority level of transit buses as the same, which may have potential that can still be improved [18].…”

Section: Introductionmentioning

confidence: 99%

Connected Transit Bus Dynamic Priority Weight Modeling and Conflicting Request Resolution Control at the Signalized Intersection

Han²,

Zhang

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Multiaccess edge computing (MEC) and connected vehicle (CV) technologies have shown great potential and strength for traffic perception and real-time computing, which can be applied to enhance the efficiency of connected transit bus operations under their lower penetration conditions. Moreover, for the transit signal priority system, how to establish a model to measure traffic demand for conflicting priority request resolution and improve system response time has been widely researched for the last few decades. This paper proposes a dynamic priority weight (DPW) model for connected transit buses and a traffic signal control approach to coordinate multidirectional conflicting priority requests at a signalized intersection. The proposed model takes advantage of vehicle location, speed, and signal timing data to build time to change (TTOC) correlation functions to measure priority weights of both single-vehicle and directionality accumulation with consideration of vehicles arriving during the current green phase and conflict phase conditions; then, the aggregated priority weight value of each movement can be calculated in real-time. Once the maximum aggregated priority weight value among all movements is determined, the corresponding phase switch strategy is presented for the conflicting request resolution control problem. Homologous algorithm software for distributed deployment can be subsequently used for swift response. Simulation results show that the proposed DPW model-based traffic signal control method shows significant performance advancement, where the queueing vehicle number decrease exceeds 1 pcu/s and the throughput rate of major movements increases by approximately 2% without sacrificing the performance of minor movements in a large amount. What is more, it shows better delay optimization for social vehicles than the algorithm with delay as the objective while declining bus delay appreciable quantity with 43.4 s in average. Field test results also show that this method has excellent abilities to improve intersectional traffic capacity, for which queueing vehicle number and throughput rate indicators of all phases dramatically improved with 1.92 pcu/s and 6.68% on average, except for a slight degradation of individual minor traffic movements with 0.99 pcu/s and 0.11%.

show abstract

A Priority-Based Conflict Resolution Strategy for Airport Surface Traffic Considering Suboptimal Alternative Paths

Cited by 9 publications

References 36 publications

Agent-based management and coordination of aircraft at intersections

Agent-based management and coordination of aircraft at intersections

Modelling Aircraft Priority Assignment by Air Traffic Controllers During Taxiing Conflicts Using Machine Learning

Connected Transit Bus Dynamic Priority Weight Modeling and Conflicting Request Resolution Control at the Signalized Intersection

Contact Info

Product

Resources

About