Macroscopic traffic flow in railway systems — A discussion of the applicability of fundamental diagrams

Weik, Norman

doi:10.1016/j.jrtpm.2022.100330

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Constraint (6) ensures that the job needs to be processed once in each process in the first stage. Constraint (7) represents that the job does not satisfy the processing conditions and needs to be transferred to the next process. Constraint (8) restricts that the job is transferred to the sth process after the last process.…”

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confidence: 99%

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Bottleneck identification and transfer prediction for automated production lines based on FNN

Si,

Zhou,

Guo

et al. 2024

J. Phys.: Conf. Ser.

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In a re-entrant production system, the throughput of the whole system depends on the capacity of the bottleneck machine. In this study, a new definition of bottleneck is proposed for a precision forging blade shop. The reinforcement learning algorithm is used to optimize the production scheduling to determine the most suitable scheduling scheme, which lays the foundation for bottleneck identification. Subsequently, the bottleneck identification index system was established according to the optimization objective, and the bottleneck identification problem was transformed into a multi-attribute decision-making problem. Finally, a fuzzy neural network is used for training, and the basic scheduling examples of each flow shop are utilized for bottleneck identification and prediction to verify their effectiveness.

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Section: ( )mentioning

confidence: 99%

“…One of the primary issues within production systems is the identification and resolution of bottlenecks. Focusing on improving bottleneck performance is pivotal for optimizing production systems, and accurately pinpointing production bottlenecks within the workshop is crucial for effective production management [4][5][6][7] .…”

Section: Introductionmentioning

confidence: 99%

Bottleneck identification and transfer prediction for automated production lines based on FNN

Si,

Zhou,

Guo

et al. 2024

J. Phys.: Conf. Ser.

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“…Equation ( 23) presents a hyperbolic fundamental flow. That is, flow increases for a small density and decreases when traffic is congested [61][62][63][64]. In microscopic traffic models, the relaxation time varies as the behavior of each driver is considered [65].…”

Section: Performance Evaluationmentioning

confidence: 99%

A New Traffic System on Driver Sensitivity and Safe Distance Headway

Khan,

Altamimi

2023

Applied Sciences

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A new macroscopic traffic system is devised that observes the transition distance between the vehicles and driver sensitivity during traffic evolution. The driver sensitivity in this system is based on the traversed time over a 200 m road section and speed (velocity). In addition, the proposed system considers the safe distance headway as the distance between vehicles changes. An analogy system for vehicle flow behavior is devised from a spring–mass system with changes in traffic. The proposed system can characterize traffic evolution for small and large changes in density. Furthermore, the changes in the travel of traffic rearwards during congestion and forward during smooth flow are dependent on driver sensitivity, transition distance, and safe distance headway. The proposed traffic system is hyperbolic. The Payne Whitham traffic system is based on uniform constant velocity for different conditions, which characterizes traffic evolution unrealistically. The proposed traffic system and the Payne Whitham system are assessed over a 2000 m circular road for large changes in density in two examples. Both the Payne Whitham and proposed traffic systems are numerically implemented with the first order centered scheme in Matlab. The discretization stability of both systems is enforced with the Courant–Friedrich–Levy (CFL) condition. The proposed system with lower driver sensitivity evolves with larger changes, whereas the proposed system with larger density has smaller changes in density and velocity. The simulation results showed that the traffic evolution with the proposed system is more appropriate than with the Payne Whitham system.

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Quantifying periodic railway network capacity using petri nets and macroscopic fundamental diagram

Szymula,

Bešinović,

Nachtigall

2024

Transportation Research Part C: Emerging Technologies

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Macroscopic traffic flow in railway systems — A discussion of the applicability of fundamental diagrams

Cited by 4 publications

References 11 publications

Bottleneck identification and transfer prediction for automated production lines based on FNN

Bottleneck identification and transfer prediction for automated production lines based on FNN

A New Traffic System on Driver Sensitivity and Safe Distance Headway

Quantifying periodic railway network capacity using petri nets and macroscopic fundamental diagram

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