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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

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Optimization of Railway Mixed Goods Loading Layout considering Stability.

Juan Wang¹, Yinghua Yao², Yinggui Zhang²

¹School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.

Computational Intelligence and Neuroscience

|September 1, 2022

Summary

This summary is machine-generated.

This study optimizes railway mixed goods loading for transportation safety. The developed algorithm ensures balanced loading, achieving high utilization rates and stability for efficient, safe, and reliable freight transport.

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Area of Science:

Logistics and Transportation Engineering
Operations Research
Supply Chain Management

Background:

Transportation safety relies heavily on stability, center-of-gravity balance, and concentrated-weight management.
Effective loading layout schemes are crucial for maximizing freight vehicle capacity and ensuring shipment safety.

Purpose of the Study:

To develop an optimization model for railway mixed goods loading layout that prioritizes stability, center-of-gravity balance, and anticoncentrated-weight.
To maximize the comprehensive utilization rates of effective volume and load capacity for freight vehicles.

Main Methods:

Formulated an optimization model considering constraints like center-of-gravity balance, allowable moment of concentrated-weight, and goods placement.
Designed mixed goods classification and block composition methods.
Developed a goods block selection algorithm using greedy d-step lookahead tree search and an evaluation function, coupled with a placement strategy and layout space update rules.

Main Results:

The optimized loading scheme ensures full support constraints are met.
Achieved comprehensive utilization rates for effective volume and load capacity of at least 89%.
Demonstrated high probabilities (99% and 99.47%) of meeting center-of-gravity balance and allowable moment of concentrated-weight constraints, respectively.

Conclusions:

The proposed method enables balanced and anticoncentrated-weight loading for railway mixed goods.
Ensures safe, stable, and efficient goods loading, enhancing overall transportation reliability.
Provides valuable decision support for optimizing railway freight loading layouts.