Chen's research integrates optimization theory and simulation tools to address emerging challenges in urban transportation systems, with particular interests in traffic assignment and network design for mixed traffic networks comprising both human-driven and autonomous/connected vehicles. His overarching vision is to contribute to smarter, more efficient, and human-centric urban mobility that better serves everyday travel needs.

[1]Chen Y, Wang W, Wang D Z W, et al. Eco-Lanes: A flexible lane management scheme for enhancing traffic efficiency and promoting eco-friendly commuting [J]. Transportation Research Part A: Policy and Practice, 2025, 195: 104458.
[2]Chen Y, Wang W, Hua X, et al. Sustainable and reliable design of autonomous driving lanes: A chance-constrained extended goal programming approach [J]. Transportation Research Part E: Logistics and Transportation Review, 2025, 195: 103973.
[3]Ruan T, Chen Y, Li X, et al. Stability analysis and controller design of the cooperative adaptive cruise control platoon considering a rate-free time-varying communication delay and uncertainties [J]. Transportation Research Part C: Emerging Technologies, 2025, 170: 104913.
[4]Chen Y, Wang W, Hua X, et al. Discrete wavelet transform application for bike sharing system check-in/out demand prediction[J]. Transportation Letters, 2024, 16(6): 554-565.
[5]Chen Y, Wang W, Hua X, et al. Survey of decomposition-reconstruction-based hybrid approaches for short-term traffic state forecasting [J]. Sensors, 2022, 22(14): 5263.
[6]Chen Y, Wang Wei. Equity-conscious design of dedicated infrastructure for autonomous vehicles using a fuzzy programming model, Transportation Research Board 105th Annual Meeting, Washington, D.C., 2026.