Prof. Xinguo Jiang

Southwest Jiaotong University, China

Email: [email protected]

Qualifications

2004 Ph.D., Michigan State University, Transportation Engineering

2000 M.Sc., TrTongji University, Ansportation Engineering

1997 B.Sc., Tongji University, Civil Engineering

Publications(Selected)

1. Niu, J., Bai, W., Li, X., et al. (2026). Exploring the effectiveness of driver monitoring systems on the progression of driver fatigue. Transportation Research Record, 2680(7), 386–399.
2. Xu, C., Fu, C., & Jiang, X. (2025). Advances in vehicle safety and crash avoidance technologies. Applied Sciences, 15(11), Article 5955.
3. Zhang, G., Xuan, Q., Cai, Y., et al. (2025). Identifying the reciprocal causation between hit-and-run behavior and crash injury severity. Traffic Injury Prevention, 26(2), 156–163.
4. Labbo, M. S., Jiang, X., & de Dieu, G. J. (2025). Cultural implications on driver behaviour and road safety: Insights from Kano State, Nigeria. International Journal of Crashworthiness, 30(2), 147–153.
5. Wang, X., Xu, C., Zhao, X., et al. (2024). Stability and safety analysis of connected and automated vehicle platoon considering dynamic communication topology. IEEE Transactions on Intelligent Transportation Systems, 25(10), 13442–13452.
6. Labbo, M. S., Jiang, X., & de Dieu, G. J. (2025). Traffic crash prediction model in Kano State, Nigeria: A multivariate LSTM approach. Proceedings of the Institution of Civil Engineers - Transport, 178(3), 184–191.
7. Wang, X., Jiang, X., Li, H., et al. (2024). Traffic safety assessment with integrated communication system of connected and automated vehicles at signalized intersections. Transportation Research Record, 2678(6), 956–971.
8. Li, G., Pu, G., Yang, J., et al. (2024). A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles. Reliability Engineering & System Safety, 241, Article 109637.
9. Qu, L., Zhou, Y., Li, J., et al. (2023). HMM-based map matching and spatiotemporal analysis for matching errors with taxi trajectories. ISPRS International Journal of Geo-Information, 12(8), Article 330.
10. Yang, Y., Jiang, X., Yan, Y., et al. (2025). Bimodal transit design with heterogeneous demand elasticity under different fare structures. Transportmetrica A: Transport Science, 21(1), 200–226.
11. Atumo, E. A., Zhang, B., Li, H., et al. (2023). Segment-level spatial spillover effects of exogenous characteristics of arterials on crash frequency. Transportation Research Record, 2677(7), 434–448.
12. Yang, Y., Jiang, X., Yan, Y., et al. (2022). Joint optimization of bimodal transit networks in a heterogeneous environment considering vehicle emissions. Journal of Cleaner Production, 373, Article 133859.
13. Atumo, E. A., Li, H., & Jiang, X. (2023). Segment-level spatial heterogeneity of arterial crash frequency using locally weighted generalized linear models. Transportation Research Record, 2677(3), 1637–1653.
14. Xia, L., Li, H., Fan, Y., et al. (2022). Continuum approximation model for transit service design with stochastic demand. Journal of Advanced Transportation, 2022, Article 1112949.
15. Xia, L., Li, X., Shaon, M. R. R., et al. (2023). Arterial signal offset optimization using crowdsourced speed data. Transportation Research Record, 2677(2), 1633–1642.
16. Yu, Q., Zhou, Y., Li, H., et al. (2022). Reliability analysis of motorcycle crash severity outcomes: Consideration of model selection uncertainty. Traffic Injury Prevention, 23(6), 377–383.
17. Atumo, E. A., Jiang, X., & Fu, C. (2022). Spatial point pattern analysis of traffic violations in Luzhou City, China. Transportation Letters, 14(10), 1162–1171.
18. Zhao, Y., Ma, Z., Jiang, X., et al. (2022). Short-term metro ridership prediction during unplanned events. Transportation Research Record, 2676(2), 132–147.
19. Fan, Y., Guo, R., Jiang, X., et al. (2021). Exploring the spatiotemporal correlation among traffic crashes on arterials with signal coordination. Transportmetrica A: Transport Science, 17(4), 1342–1360.
20. Zhao, Y., Ren, L., Ma, Z., et al. (2020). Novel three-stage framework for prioritizing and selecting feature variables for short-term metro passenger flow prediction. Transportation Research Record, 2674(8), 192–205.

Profile Details
https://faculty.swjtu.edu.cn/jiangxinguo/en/index.htm
https://scholar.google.com/citations?user=KadLZF8AAAAJ&hl=en
https://www.researchgate.net/scientific-contributions/Xinguo-Jiang-2310217013

WOS ResearcherID: FXS-8745-2022