Incorporating safety field theory into interactive trajectory prediction between VRU and vehicle: An integrated spatial–temporal and risk-aware model

This study revisits the challenge of predicting interaction trajectories of heterogeneous objects in unsignalized intersection scenarios, a topic that has not been extensively explored. The proposed STRN model, with its performance and robustness, provides a new scheme for improving the level of traffic safety and promoting intelligent autonomous vehicle decision system.

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Institutions

Publication Details

Journal
Traffic Injury Prevention
Published
2025-02-18
DOI
https://doi.org/10.1080/15389588.2024.2443008
Citations
3
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
2.05

Funders

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article

Incorporating safety field theory into interactive trajectory prediction between VRU and vehicle: An integrated spatial–temporal and risk-aware model

Dianchen Zhu, Ho-Yin Chan, Xuxin Zhang, Wei Ma et al.
3 citations
Traffic Injury Prevention
Autonomous Vehicle Technology and Safety
2.05
article

Incorporating safety field theory into interactive trajectory prediction between VRU and vehicle: An integrated spatial–temporal and risk-aware model

Dianchen Zhu, Ho-Yin Chan, Xuxin Zhang, Wei Ma, Zheyan Fan, Mingming Zhao
article en
3 citations

Abstract

This study revisits the challenge of predicting interaction trajectories of heterogeneous objects in unsignalized intersection scenarios, a topic that has not been extensively explored. The proposed STRN model, with its performance and robustness, provides a new scheme for improving the level of traffic safety and promoting intelligent autonomous vehicle decision system.

Traffic Injury PreventionVol. 26(5)
Xuzhou University of Technology (CN), Hong Kong Polytechnic University (HK), Xidian University (CN), Hefei University of Technology (CN), Shenzhen Polytechnic University (CN), University of Oxford (GB), The Polytechnic University of Japan (JP), South China University of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 15%
Autonomous Vehicle Technology and Safety
2.05
DOISourceOpenAlex
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Incorporating safety field theory into interactive trajectory prediction between VRU and vehicle: An integrated spatial–temporal and risk-aware model — Dianchen Zhu, Ho-Yin Chan, et al. · Traffic Injury Prevention (2025) | TGRS Research Map | TGRS