High-Resolution Large-Scale Urban Traffic Speed Estimation With Multi-Source Crowd Sensing Data

Zhang, Yingqian; Li, Chao; Li, Kehan; He, Shibo; Chen, Jiming

doi:10.1109/tvt.2024.3382729

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2024

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Cited by 3 publications

References 39 publications

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Physics-Informed Spatio-Temporal Model for Human Mobility Prediction

Gao,

Li,

Yang

2024

Lecture Notes in Computer Science

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Physics-Informed Spatio-Temporal Model for Human Mobility Prediction

Gao,

Li,

Yang

2024

Lecture Notes in Computer Science

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HMP-LLM: Human Mobility Prediction Based on Pre-trained Large Language Models

Zhong,

Xiang,

et al. 2024

2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)

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Optimizing Urban Traffic Flow through Advanced Tensor Analysis and Multilinear Algebra: A Computational Approach to Enhancing Smart City Dynamics

Afroz,

Goswami,

Nyakwende

2024

Engineering World

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Growing traffic congestion is a worldwide problem that collides against the aims of environmental sustainability, economic productivity, and the quality of life in cities. This research proposes a new computational framework for traffic management that integrates advanced tensor analysis and methods from multilinear algebra. We have developed and validated a new predictive model that greatly improves the optimization of traffic flows by synthesizing the naturally complex multi-dimensional traffic data analysis. Our results demonstrate that, compared with existing systems, the proposed approach results in higher accuracy of prediction, much improved computational efficiency, and provides scalable and adaptable solutions for application in a wide range of urban habitats. Such research may push the boundaries further on the smart city infrastructures to provide a very well-founded mathematical framework for the dynamics of improved urban mobility through high-level data-oriented information.

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High-Resolution Large-Scale Urban Traffic Speed Estimation With Multi-Source Crowd Sensing Data

Cited by 3 publications

References 39 publications

Physics-Informed Spatio-Temporal Model for Human Mobility Prediction

Physics-Informed Spatio-Temporal Model for Human Mobility Prediction

HMP-LLM: Human Mobility Prediction Based on Pre-trained Large Language Models

Optimizing Urban Traffic Flow through Advanced Tensor Analysis and Multilinear Algebra: A Computational Approach to Enhancing Smart City Dynamics

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