Embodied Intelligence in Transportation Systems: Road Network Computing

Abstract This paper studied the concept of embodied intelligence within transportation systems, focusing on the interactions between purposefully designed physical structures and their dynamic environmental contexts. By drawing inspiration from the intricate complexities inherent in human-designed transportation systems, including the intricate web of road networks and vehicular components, the integration of intelligent elements is examined. Beyond a mere examination, the paper proposes a novel perspective—conceptualizing a transportation system, particularly road networks, as a physical reservoir. This perspective is substantiated through a thorough exploration of the reading mechanism of the traffic states and the echo-state property of road networks. We further dive into the traffic property to explore the inherent computational capabilities, such as fundamental logic operations, within these networks. The illustrative examples of OR, XOR, and AND logic gates within road networks serve as tangible demonstrations of their inherent computational capabilities. These examples not only showcase the computational abilities embedded in road networks but also lay the groundwork for a paradigm shift—a consideration of road networks as a manifestation of embodied intelligence within the broader framework of transportation systems. This paper contributes to the evolving discourse on the transformative potential of road networks as dynamic, intelligent entities, redefining our understanding of transportation systems.

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Publication Details

Journal
IOP Conference Series Materials Science and Engineering
Published
2024-12-01
DOI
https://doi.org/10.1088/1757-899x/1321/1/012010
Citations
2
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.24
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article

Embodied Intelligence in Transportation Systems: Road Network Computing

Fumiya Iida, Kai-Fung Chu, Fan Ye
2 citations
IOP Conference Series Materials Science and Engineering
Data Visualization and Analytics
0.24
article

Embodied Intelligence in Transportation Systems: Road Network Computing

Fumiya Iida, Kai-Fung Chu, Fan Ye
article en
2 citations

Abstract

Abstract This paper studied the concept of embodied intelligence within transportation systems, focusing on the interactions between purposefully designed physical structures and their dynamic environmental contexts. By drawing inspiration from the intricate complexities inherent in human-designed transportation systems, including the intricate web of road networks and vehicular components, the integration of intelligent elements is examined. Beyond a mere examination, the paper proposes a novel perspective—conceptualizing a transportation system, particularly road networks, as a physical reservoir. This perspective is substantiated through a thorough exploration of the reading mechanism of the traffic states and the echo-state property of road networks. We further dive into the traffic property to explore the inherent computational capabilities, such as fundamental logic operations, within these networks. The illustrative examples of OR, XOR, and AND logic gates within road networks serve as tangible demonstrations of their inherent computational capabilities. These examples not only showcase the computational abilities embedded in road networks but also lay the groundwork for a paradigm shift—a consideration of road networks as a manifestation of embodied intelligence within the broader framework of transportation systems. This paper contributes to the evolving discourse on the transformative potential of road networks as dynamic, intelligent entities, redefining our understanding of transportation systems.

IOP Conference Series Materials Science and EngineeringVol. 1321(1)
University of Cambridge (GB)
Openalex Percentile: Top 60%
Data Visualization and Analytics
0.24
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