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Employment (2)

Tomorrow Advancing Life: Beijing, Beijing, CN

2021-02-01 to 2021-07-31 | Intern Analyst (Data Analysis Division of Production)
Employment
Source: Self-asserted source
Yongxin Peng

Texas A&M Transportation Institute: College Station, TX, US

2017-05-01 to 2020-12-31 | Research Assistant (Mobility Division)
Employment
Source: Self-asserted source
Yongxin Peng

Education and qualifications (2)

Beijing Jiaotong University: Beijing, Beijing, CN

2021-09-01 to 2025-06-01 | Ph.D (Traffic and Transportation)
Education
Source: Self-asserted source
Yongxin Peng

Texas A&M University College Station: College Station, Texas, US

2016-09-01 to 2018-05-15 | Master of Engineering (Civil Engineering)
Education
Source: Self-asserted source
Yongxin Peng

Works (5)

A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

Accident Analysis & Prevention
2024-04 | Journal article
DOI: 10.1016/j.aap.2024.107493
Contributors: Manze Guo; Bruce Janson; Yongxin Peng
Source: check_circle
Crossref

Do factors associated with older pedestrian crash severity differ? A causal factor analysis based on exposure level of pedestrians

Traffic Injury Prevention
2023-05-19 | Journal article
DOI: 10.1080/15389588.2023.2183080
Contributors: Manze Guo; Zhenzhou Yuan; Bruce Janson; Yongxin Peng; Rui Yue; Guowu Zhang
Source: check_circle
Crossref

Impact of Fundamental Elements of Connected and Autonomous Technology on Right-Turn Gap Acceptance Behavior at an Uncontrolled Intersection

Journal of Transportation Engineering, Part A: Systems
2023-03 | Journal article
DOI: 10.1061/JTEPBS.0000775
Contributors: Yongxin Peng; Guohua Song; Xiaoyu Guo; Manze Guo
Source: check_circle
Crossref

Application of Machine Learning Techniques to Predict the Occurrence of Distraction-affected Crashes with Phone-Use Data

Transportation Research Record: Journal of the Transportation Research Board
2022-02 | Journal article
DOI: 10.1177/03611981211045371
Contributors: Chaolun Ma; Yongxin Peng; Lingtao Wu; Xiaoyu Guo; Xiubin Wang; Xiaoqiang Kong
Source: check_circle
Crossref

Older Pedestrian Traffic Crashes Severity Analysis Based on an Emerging Machine Learning XGBoost

Sustainability
2021-01-18 | Journal article
DOI: 10.3390/su13020926
Contributors: Manze Guo; Zhenzhou Yuan; Bruce Janson; Yongxin Peng; Yang Yang; Wencheng Wang
Source: check_circle
Crossref
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Preferred source (of 2)‎

Peer review (2 reviews for 1 publication/grant)

Review activity for PloS one. (2)
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