Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics

Sarıçiçek, İnci; Keser, Sinem Bozkurt; Cibi, Azmi; Özdemir, Tahir; Yazıcı, Ahmet

doi:10.48129/kjs.v49i1.10194

Cited by 2 publications

(4 citation statements)

References 20 publications

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“…While it is aimed to reduce the fuel consumption of trucks in logistics, it is important to address the energy consumption problem in shop floor transportation. (Sarıçiçek et al, 2022) proposed an energy-efficient routing and task scheduling to reduce energy consumption of autonomous vehicles in intra logistics: Objective functions (makespan, minimizing of tardy P/D tasks, minimizing total distance, minimizing the energy consumed, etc.) in the production logistics.…”

Section: Proposed Conflict-free Path Planning Approachmentioning

confidence: 99%

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A novel conflict free routing with multi pickup delivery tasks for autonomous vehicles

Sarıçiçek

Yazıcı

Aslan

2023

RIA

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Purpose This study aims to propose a novel method for the conflict detection and eradication of autonomous vehicles which has predetermined routes to establish multi pickup and delivery tasks according to task priorities and vehicle capacity status on each pickup and delivery nodes in assembly cells in the automotive production. Design/methodology/approach In the designed system, the routing of autonomous vehicles (AVs) and scheduling of pickup and delivery tasks are established in production logistics. Gantt chart is created according to vehicle routes, and conflicts are detected using the proposed conflict-sweep algorithm. The proposed conflict-solving algorithm eliminates conflicts on intersections and roads by considering vehicle routes and task priorities. Findings In many production systems, there is a need to obtain flexible routes in each pickup delivery task group that changes during day, week, etc. Proposed system provides remarkable advantages in obtaining conflict-free routes for pre-scheduled multi transport tasks of vehicles by considering efficiency in production systems. Originality/value A novel method is proposed for the conflict detection and eradication of AVs. Proposed system eliminates conflicts on intersections and roads by considering pre-planned vehicle routes for a fleet of heterogeneous AVs. Unlike most of the other conflict-free algorithms, in which conflicts are solved between two points, proposed system also considers multi pickup and delivery points for AVs. This is pioneering paper that addresses conflict-free route planning with backhauls and scheduling of multi pickup and delivery tasks for AVs.

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Section: Proposed Conflict-free Path Planning Approachmentioning

confidence: 99%

“…The route planning is established by considering the load of AV between P and D points. Pickup and delivery tasks are assigned to AV s and scheduled for using AV s efficiently (Sarıçiçek et al, 2022). Routes for AV s are inputs of the Proposed Conflict-Free Path Planning System.…”

Section: Proposed Conflict-free Path Planning Approachmentioning

confidence: 99%

A novel conflict free routing with multi pickup delivery tasks for autonomous vehicles

Sarıçiçek

Yazıcı

Aslan

2023

RIA

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“…The robot's dynamic model and moving impediments have not been taken into account, resulting in lower prediction accuracy. The hybrid simulated annealing approach is utilized in (Saricicek I., et al, 2022) to determine autonomous vehicle routes. An energy efficient routing and scheduling system is also offered in (Saricicek I., et al, 2022) to reduce the total energy spent by the cars by taking both the traveled distance and the vehicle's weight into account.…”

Section: Introductionmentioning

confidence: 99%

“…The hybrid simulated annealing approach is utilized in (Saricicek I., et al, 2022) to determine autonomous vehicle routes. An energy efficient routing and scheduling system is also offered in (Saricicek I., et al, 2022) to reduce the total energy spent by the cars by taking both the traveled distance and the vehicle's weight into account. By merging vision-based estimation and control loops, in (Roggeman H., et al, 2017) safe and autonomous navigation of mobile robots is achieved.…”

Section: Introductionmentioning

confidence: 99%

Real time obstacle motion prediction using neural network based extended Kalman filter for robot path planning

Hassan

Saleem

2022

KJS publishes peer-review articles in Mathematics, Computer Sci

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Navigation in dynamic environments for mobile robots is a difficult problem as it involves estimating the path of moving obstacles. The measured data usually contains a bias and noise in addition to its true value. Based on a stacked denoising autoencoder (SDAE), the enhanced Kalman filter developed in this paper can estimate the obstacle position from any type of noisy input. The extended Kalman filter's ability to predict an error-free path is impacted by the measurement noise covariance matrix employed. The SDAE is a neural network topology based on deep learning that can be used to determine the optimum covariance matrix. Both Adam and stochastic gradient learning algorithms are used to train the neural network. The robot's path is re-planned based on the predicted obstacle path to ensure safe navigation. MATLAB-based numerical simulations are used to demonstrate the utility and superiority of the proposed method over the traditional Kalman filter and Particle filter methodologies. The simulation results show that in the presence of any sort of noise, the proposed technique is exceptionally durable and reliable. The simulation findings also reveal that when it comes to denoising the measured data, the stacked denoising autoencoder with Adam optimizer is more efficient than the stochastic approach. The performance of the developed algorithm is validated in MATLAB simulated environments, and it can be extended for navigation tasks. In terms of computation time and robustness in closely spaced obstacles, simulation experiments demonstrated that the path planning using the proposed algorithm outperforms the hybrid A star, artificial potential field, and decision algorithms.

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Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics

Cited by 2 publications

References 20 publications

A novel conflict free routing with multi pickup delivery tasks for autonomous vehicles

A novel conflict free routing with multi pickup delivery tasks for autonomous vehicles

Real time obstacle motion prediction using neural network based extended Kalman filter for robot path planning

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