中文
Xiaobao Yang
Basic information Education Professional Experience Research Field Projects Teaching Courses Paper Monograph Patent Awards and honors Social Appointments
Personal Profile

Basic information

Name：

Xiaobao Yang

Administrative Post：

Technical Post：

Professor

Degree：

Ph. D

Mailing Address：

School of Traffic and Transportation, Beijing Jiaotong University, Beijing, P.R. China

Postcode：

100044

Office Phone：

Email：

yangxb@bjtu.edu.cn

Education

  • 9/2002 – 4/2007     Doctor course, School of Economics and Management, Beihang University, Beijing, P.R. China
  •      9/1998 – 7/2002     Bachelor of Management, Beijing Institute of Graphic Communication, Beijing, P.R. China

Professional Experience

Jun 2023 – Present, Beijing Jiaotong University, School of Systems Science, Professor, Ph.D. Supervisor 

Dec 2018 – Jun 2023, Beijing Jiaotong University, School of Traffic and Transportation, Professor, Ph.D. Supervisor 

Oct 2015 – Dec 2018, Beijing Jiaotong University, School of Traffic and Transportation, Associate Professor, Ph.D. Supervisor 

Nov 2013 - Dec 2014, University of Central Florida, Department of Civil, Environmental and Construction Engineering, Visiting Scholar 

Nov 2011 – Oct 2015, Beijing Jiaotong University, School of Traffic and Transportation, Associate Professor, Master's Supervisor 

Apr 2007 - Nov 2011, Beijing Jiaotong University, School of Traffic and Transportation, Lecturer

Research Field

  • Transportation Big Data

  • Intelligent Systems for Autonomous Vehicles

  • Traffic Behavior and Safety

  • Transportation Planning and Management

Projects

   (1) National Natural Science Foundation of China (NSFC) Key Program Project: Modeling of Complex Mixed Traffic Flow in Connected Vehicle Environments, 2024-2028, CNY 742,500, Principal Investigator

(2) Capital High-end Think Tank Project: Functional Positioning and Management Strategies for E-bikes in the Transportation System, 2025-2026, CNY 50,000, Principal Investigator

(3) Capital High-end Think Tank General Decision-Making Consultation Project : Research on Enhancing the Resilience of Beijing's Transportation System (Part 1), 2025-2026, CNY 50,000, Principal Investigator

(4) Fundamental Research Funds for the Central Universities Special Project: Spatiotemporal Evolution Mechanism and Prevention Strategies for Drunk Driving Risks Using Multi-source Data Fusion, 2025-2028, CNY 80,000, Principal Investigator

(5) National Key R&D Program of China Project: Technologies for Preventing Major Accident Risks and Emergency Evasion in Road Transport Vehicles, 2023-2026, CNY 17.54 Million, Participant (Co-Investigator)

(6) National Special Project (Ministry of Industry and Information Technology, etc.): Rapid Clearance Equipment for Sections Prone to Natural Disaster-Induced Collapses in Plateau Areas, 2024-2027, CNY 10 Million, Participant (Co-Investigator)

(7) NSFC Science Center Project Project: Real-time Emergency Response and Intelligent Situation Assessment for Future Urban Transportation, 2023-2027, CNY 1.75 Million, Participant (Co-Investigator)


Teaching Courses

Undergraduate Courses:

  • Data Analysis Methods and Applications

  • Statistical Software and Applications

Graduate Courses:

  • Data Analysis Methods and Applied Practice

  • Academic Writing Skills

Paper

Has authored/co-authored over 100 academic papers, including more than 60 indexed in SCI/SSCI. Several of these have been published in leading transportation journals such as Analytic Methods in Accident Research, Transportation Research Part A/C, Accident Analysis & Prevention, and Transport Policy, with 7 papers recognized as ESI Highly Cited Papers. A selection of recent publications is listed below:  

(1) Yang M L, Yang X B*, Mu C X, Zhu S, Influence factors and model selection for conflict risk in different car-following behaviors: Insights from automated and human-driven vehicles[J]. Accident Analysis and Prevention, 2026, 224: 108286.

(2) Mu L, Kang Y R, Yan Z X, Yang X B, Zhu G Y. Quantifying uncertainties in data and model: a prediction model for extreme rainfall events with application to Beijing subway, Accident Analysis and Prevention, 2025, 222: 108238.

(3) Cui P F, Abdel-Aty M, Han L, Yang X B. Multiscale geographical random forest: A novel spatial ML approach for traffic safety modeling integrating street-view semantic visual features[J]. Transportation Research Part C: Emerging Technologies, 2025, 179: 105299.

(4) Cui P F, Abdel-Aty M, Wang C Z, Yang X B, et al. Examining the impact of spatial inequality in socio-demographic and commute patterns on traffic crash rates: Insights from interpretable machine learning and spatial statistical models[J]. Transport Policy, 2025, 167: 222-245.

(5) Yuan Y L, Yang X B*, Song D D, et al. Bivariate joint analysis of intercity travelers' adaptive behaviors during adverse weather events[J].     Transportation Research Part A: Policy and Practice, 2025, 195: 104462.

(6) Cui P F,  Abdel-Aty M, Yang X B*, et al. Quantifying spatial inequities in traffic injury rates through the integration of urban road network measures and social vulnerability[J]. Accident Analysis and Prevention, 2025, 211: 107916.

(7)  Wang W C, Yang Y, Yang X B, et al. A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros[J]. Accident Analysis and Prevention,  2024, 207:  107741.    ESI

(8) Yuan Y L, Yang X B*, et al. Adaptive behavior of intercity travelers within urban agglomeration in response to adverse weather: Accounting for multilayer unobserved heterogeneity[J], Transport Policy, 2024, 153: 141-158.

(9) Huo Z Q, Yang X B, Liu X B, et al. Spatio-temporal analysis on online designated driving based on empirical data[J]. Transportation Research Part A: Policy and Practice, 2024, 183: 104047.

(10) Cui P F, Yang X B*, Abdel-Aty M, et al. Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning[J]. Accident Analysis and Prevention, 2024, 200: 107564.    ESI

(11) Song D D, Yang X B*, Anastasopoulos P C, et al. Temporal stability of the impact of factors determining drivers’ injury severities across traffic barrier crashes in mountainous regions[J]. Analytic Methods in Accident Research, 2023, 39: 100282.   ESI

(12) Su X T, Yang X B*, Gao Z Y, Song D D. Evaluating alternate discrete outcome frameworks for modeling riders' red light running behavior[J]. Accident Analysis and Prevention, 2023, 191: 107232.

(13) Song D D, Yang X B*, Yang Y T, Cui P F, Zhu G Y. Bivariate joint analysis of injury severity of drivers in truck-car crashes accommodating multilayer unobserved heterogeneity[J]. Accident Analysis and Prevention, 2023, 190: 107175.    ESI

(14) Yang X B*, Yue X F, et al.  Impact of weather on freeway origin-destination volume in China [J]. Transportation Research Part A: Policy and Practice, 2021, 143(1): 30-47. 

(15)Yang X B*, Abdel-Aty M, et al. The effects of traffic wardens on the red-light infringement behavior of vulnerable road users[J]. Transportation research part F: traffic psychology and behaviour, 2016, 37: 52-63.

(16) Yang X B*, Abdel-Aty M, et al. An accelerated failure time model for investigating pedestrian crossing behavior and waiting times at signalized intersections[J]. Accident Analysis and Prevention, 2015, 82: 154-162.

(17) Yang X B*, Huan M, Abdel-Aty M, et al. A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections[J]. Accident Analysis and Prevention, 2015, 74: 3-41.


Monograph

Served as a contributing author/editorial member for one edition of the "Beijing Transportation Blue Book" (an annual report series).

Patent

  1. "Method and System for Analyzing Fundamental Diagram Model of Urban Mixed Traffic Flow in Connected Vehicle Environment," Patent No.: ZL202411921537.1 (Authorized)

  2. "Method for Estimating Automobile Travel Time on Road Sections with Mixed-Use Stops Based on Reliability Model," Patent No.: ZL201811397569.0 (Authorized)

  3. "Dynamic Early Warning Method for Driver Accidents Based on Accelerated Failure Risk Model," Patent No.: ZL201811414169.6 (Authorized)

  4. "Method for Truck Warning Information Extraction and Risk Identification Based on BeiDou and Internet of Vehicles," Patent No.: ZL201910773932.2 (Authorized)

  5. "Data Extraction and Real-time Prediction Method for Duration of Sporadic Traffic Congestion," Patent No.: ZL201910835268.X (Authorized)

  6. "Multi-Modal Trip O-D Demand Estimation Method Based on Multi-Source Data Calibration," Patent No.: ZL201711001757.2 (Authorized)

  7. "Dynamic Passenger Flow Assignment Method for Urban Subway Based on Spatio-Temporal Network Construction," Patent No.: ZL201310141864.0 (Authorized)

Awards and honors

  • Beijing Jiaotong University "San Yu Ren" (Triple Education) Advanced Individual Award (recognizing excellence in Teaching, Management, and Service), specifically honored for "Teaching and Educating", 2025.

  • First Prize, Science and Technology Progress Award, Beijing Rail Transit Association, 2023.

Social Appointments