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cs.ET2025
Improving Simulation-Based Origin-Destination Demand Calibration Using Sample Segment Counts Data
Arwa Alanqary, Chao Zhang, Yechen Li +2
This paper introduces a novel approach to demand estimation that utilizes partial observations of segment-level track counts. Building on established simulation-based demand estima…
cs.ET2025
On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads
Chao Zhang, Yechen Li, Neha Arora +1
Being widely adopted by the transportation and planning practitioners, the fundamental diagram (FD) is the primary tool used to relate the key macroscopic traffic variables of spee…
cs.ET2025
Traffic Simulations: Multi-City Calibration of Metropolitan Highway Networks
Chao Zhang, Yechen Li, Neha Arora +2
This paper proposes an approach to perform travel demand calibration for high-resolution stochastic traffic simulators. It employs abundant travel times at the path-level, departin…