Name：

Xiaobao Yang

Administrative Post：

Technical Post：

Professor

Degree：

Ph. D

Mailing Address：

School of System Science, Beijing Jiaotong University, Beijing, P.R. China

Postcode：

100044

Office Phone：

Email：

yangxb@bjtu.edu.cn

·         Professor, Doctoral Supervisor, School of System Science, Beijing Jiaotong University, Beijing, China, Jun 2023 – Present

·         Professor, Doctoral Supervisor, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, Dec 2018 – Jun 2023

·         Associate Professor, Doctoral Supervisor, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, Oct 2015 – Dec 2018

·         Visiting Scholar (Co-Advisor: Prof. Mohamed Abdel-Aty), Department of Civil and Environmental Engineering, University of Central Florida, USA, Nov 2013 – Dec 2014

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

·         Lecturer, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, Apr 2007 – Nov 2011

·         Traffic Behavior and Safety

·         Econometric Methods and Applications in Transportation

·         Transportation Big Data Analytics

·         Intelligent Systems for Autonomous Vehicles

   (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)

Undergraduate Courses:

• Data Analysis Methods and Applications

• Statistical Software and Applications

Graduate Courses:

• Data Analysis Methods and Applied Practice

• Academic Writing Skills

Authored/co-authored over 100 academic papers, with more than 60 indexed in SCI/SSCI, including 7 ESI Highly Cited Papers.

  (19) 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.

 (18) Yuan Y L, Yang X B*, Li S X, et al. Effects of autonomous vehicles on intercity public transport within urban agglomerations: Exploring multi-layered heterogeneity and distance-based variations[J]. Technological Forecasting and Social Change, 2026, 224: 124507.

  (17) 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.

  (16) 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.

  (15) 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.

  (14) 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.

 (13) 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.

 (12) 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.

 (11)  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

 (10) 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.

  (8) 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

  (7) 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

  (6) 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.

  (5) 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

  (4) 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. 

  (3)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.

 (2) 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.

  (1) 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.

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)

• Excellent Reviewer Award,《Accident Analysis & Prevention》《Journal of Traffic and Transportation Engineering (English Edition)》

• Advisory Report, Analysis of E-Bike Riding Behavior and Recommendations for Standardized Riding Practices received affirmative endorsement from municipal leadership, 2025

• Outstanding Individual in "Three-Aspects Education" (recognizing excellence in Teaching, Management, and Service), specifically honored for "Teaching and Educating",, Beijing Jiaotong University, 2025

• First Prize for Scientific and Technological Progress, Beijing Rail Transit Society, 2023

• Beijing Higher Education Institution Young Elite Scholar, 2015
  

  
  

  
  

l  Editorial Board Member, Future Transportation (SCI Journal).

l  Member, Higher Education Management Branch, Chinese Society of Optimization, Overall Planning and Economic Mathematics.

l  Executive Committee Member (Transportation Planning---Demand Analysis---Network Modeling), World Transport Convention (WTC).

l  Regular Reviewer for multiple SCI/SSCI journals, including: Accident Analysis & Prevention, Transportation Research Part A/C/D/F, Transport Policy, IEEE Transactions on Intelligent Transportation Systems, Information Sciences, Traffic Injury Prevention, etc.