Unsolved Problems in the Field of Procedural Shaders and Procedural Terrain

Choure, Malhar; Jain, Harsh; Surve, Chinmay; Munot, Mousami V.; Jaiswal, Rupesh

doi:10.1007/978-981-97-1323-3_35

Lecture Notes in Networks and Systems

2024

DOI: 10.1007/978-981-97-1323-3_35

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Unsolved Problems in the Field of Procedural Shaders and Procedural Terrain

Malhar Choure,

Harsh Jain,

Chinmay Surve

et al.

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Synthetic Dataset Generation for Optimizing Multimodal Drone Delivery Systems

Altinses,

Torres,

Gobachew

et al. 2024

Drones

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Street delivery faces significant challenges due to outdated road infrastructure, which was not designed to handle current vehicle volumes, leading to congestion and inefficiencies, especially in last-mile delivery. Integrating drones into the delivery system offers a promising solution by bypassing congested roads, thereby enhancing delivery speed and reducing infrastructure strain. However, optimizing this multimodal delivery system is complex and data-driven, with real-world data often being costly and restricted. To address this, we propose a synthetic dataset generator that creates diverse and realistic delivery scenarios, incorporating environmental variables, customer profiles, and vehicle characteristics. The key contribution of our work is the development of a dynamic generator for multiple optimization problems with diverse complexities or even combinations of optimization problems. This generator allows for the incorporation of real-world factors such as traffic congestion and synthetically generated factors such as wind conditions and communication constraints, as well as others. The primary objective is to establish a foundation for creating benchmark scenarios that enable the comparison of existing and new approaches. We evaluate the generated dataset by applying it to three optimization problems, including facility location, vehicle routing, and path planning, using different techniques to demonstrate the dataset’s effectiveness and operational viability.

show abstract

Synthetic Dataset Generation for Optimizing Multimodal Drone Delivery Systems

Altinses,

Torres,

Gobachew

et al. 2024

Drones

View full text Add to dashboard Cite

show abstract

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Unsolved Problems in the Field of Procedural Shaders and Procedural Terrain

Cited by 1 publication

References 24 publications

Synthetic Dataset Generation for Optimizing Multimodal Drone Delivery Systems

Synthetic Dataset Generation for Optimizing Multimodal Drone Delivery Systems

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