Jincai Huang
Biographic Data
| ID | 7943813 |
|---|---|
| NAME | Jincai Huang |
| GIVEN NAMES | Jincai |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG J |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0002-7163-6749 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Conversational Crowdsensing in the Age of Industry 5.0
The transition from cyber-physical-system-based (CPS-based) Industry 4.0 to cyber-physical-social-system-based (CPSS-based) Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in large language models (LLMs) and retrieval augmented generation (RAG). Therefore, the advancement of parallel intelligence powered crowdsensing intelligence (CSI) is witnessed, which is currently ad…
Delineating Source and Sink Zones of Trip Journeys in the Road Network Space
Source–sink zones refer to aggregated adjacent origins/destinations with homogeneous trip flow characteristics. Current relevant studies mostly detect source–sink zones based on outflow/inflow volumes without considering trip routes. Nevertheless, trip routes detail individuals’ journeys on road networks and give rise to relationships among human activities, road network structures, and land-use types. Therefore, this study developed a novel appr…
Revealing spatiotemporal correlation of urban roads via traffic perturbation simulation
Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity
A Hybrid Method to Incrementally Extract Road Networks Using Spatio-Temporal Trajectory Data
With the rapid development of urban traffic, accurate and up-to-date road maps are in crucial demand for daily human life and urban traffic control. Recently, with the emergence of crowdsourced mapping, a surge in academic attention has been paid to generating road networks from spatio-temporal trajectory data. However, most existing methods do not explore changing road patterns contained in multi-temporal trajectory data and it is still difficul…
Spatio-Temporal Patterns of the 2019-nCoV Epidemic at the County Level in Hubei Province, China
Understanding the spatio-temporal characteristics or patterns of the 2019 novel coronavirus (2019-nCoV) epidemic is critical in effectively preventing and controlling this epidemic. However, no research analyzed the spatial dependency and temporal dynamics of 2019-nCoV. Consequently, this research aims to detect the spatio-temporal patterns of the 2019-nCoV epidemic using spatio-temporal analysis methods at the county level in Hubei province. The…
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A Hybrid Method to Incrementally Extract Road Networks Using Spatio-Temporal Trajectory Data
With the rapid development of urban traffic, accurate and up-to-date road maps are in crucial demand for daily human life and urban traffic control. Recently, with the emergence of crowdsourced mapping, a surge in academic attention has been paid to generating road networks from spatio-temporal trajectory data. However, most existing methods do not explore changing road patterns contained in multi-temporal trajectory data and it is still difficul…
Spatio-Temporal Patterns of the 2019-nCoV Epidemic at the County Level in Hubei Province, China
Understanding the spatio-temporal characteristics or patterns of the 2019 novel coronavirus (2019-nCoV) epidemic is critical in effectively preventing and controlling this epidemic. However, no research analyzed the spatial dependency and temporal dynamics of 2019-nCoV. Consequently, this research aims to detect the spatio-temporal patterns of the 2019-nCoV epidemic using spatio-temporal analysis methods at the county level in Hubei province. The…
Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity
Revealing spatiotemporal correlation of urban roads via traffic perturbation simulation
Conversational Crowdsensing in the Age of Industry 5.0
The transition from cyber-physical-system-based (CPS-based) Industry 4.0 to cyber-physical-social-system-based (CPSS-based) Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in large language models (LLMs) and retrieval augmented generation (RAG). Therefore, the advancement of parallel intelligence powered crowdsensing intelligence (CSI) is witnessed, which is currently ad…
Delineating Source and Sink Zones of Trip Journeys in the Road Network Space
Source–sink zones refer to aggregated adjacent origins/destinations with homogeneous trip flow characteristics. Current relevant studies mostly detect source–sink zones based on outflow/inflow volumes without considering trip routes. Nevertheless, trip routes detail individuals’ journeys on road networks and give rise to relationships among human activities, road network structures, and land-use types. Therefore, this study developed a novel appr…
Computer Science (5 works) · Engineering (3 works) · Geography (3 works) · Mathematics (3 works) · Transport engineering (3 works) · Transportation Planning and Optimization (3 works) · Artificial Intelligence (2 works) · Cartography (2 works) · Ecology (2 works) · Environmental Science (2 works)