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Jie Zeng

Central South University

Changsha, 410083

China

SCHOLARLY PAPERS

4

DOWNLOADS

263

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on Lpr Data

Number of pages: 26 Posted: 10 Mar 2022
Jie Zeng and Jinjun Tang
Central South University and Central South University - Smart Transportation Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering
Downloads 90 (742,061)
Citation 1

Abstract:

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lane-level traffic flow prediction, visibility graph, graph neural network, urban road network, license plate recognition data

2.

Modeling Accident Inter-Times as Temporal Point Process: A Deep Learning Based Probabilistic Forecasting Model

Number of pages: 22 Posted: 17 Apr 2023
Jie Zeng, Jinjun Tang and Jiguang Chen
Central South University, Central South University - Smart Transportation Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering and Central South University
Downloads 65 (916,100)

Abstract:

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traffic accident prediction, accident inter-time modeling, temporal point process, deep learning, probabilistic forecasting

3.

Uncovering the Spatiotemporal Patterns of Traffic Congestion from Large-Scale Trajectory Data: A Complex Network Approach

Number of pages: 24 Posted: 26 May 2022
Central South University, Central South University, Central South University and Central South University
Downloads 57 (1,020,567)

Abstract:

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traffic congestion modeling, spatiotemporal pattern mining, complex networks, community detection, trajectory data

4.

Short-Term Passenger Flow Prediction Based on Federated Learning on Urban Metro System

Number of pages: 20 Posted: 28 Mar 2023
Central South University, Central South University - Smart Transportation Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University and Central South University
Downloads 51 (1,052,702)

Abstract:

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short-term passenger flow prediction, Federated Learning, collaborative training method;convolutional neural network, bidirectional gated recurrent unit