UCATSC: Uncertainty-Aware Constrained Traffic Signal Control Under Vision-Based Partial Observability
Jayawant Bodagala, Balaji Bodagala

TL;DR
UCATSC introduces an uncertainty-aware, interpretable decision layer for vision-based traffic signal control, improving safety and reliability under partial observability while maintaining real-time performance.
Contribution
It proposes a novel belief-state-based decision layer that filters actions using safety and service constraints, enhancing safety and robustness in vision-based traffic control.
Findings
UCATSC achieves competitive mobility performance.
Eliminates dilemma-zone violations in tested scenarios.
Bounds service age under starvation stress tests.
Abstract
Camera-based adaptive traffic signal control is inherently partially observable: detections can be missed, vehicle speeds and distances can be noisy, and a phase-change decision becomes temporally irreversible once yellow onset is initiated. This paper presents UCATSC, an interpretable uncertainty-aware constrained decision layer for vision-based adaptive signal control. UCATSC maintains a reduced movement-level belief state over queue, arrival, and service-age variables; evaluates admissible phase actions through finite-horizon counterfactual rollouts in belief space; and filters candidate actions using predictive dilemma-zone safety and service-age/starvation constraints before execution. The method is evaluated primarily in SUMO using matched seeds, classical baselines, a trained DQN-RL baseline, a safety-masked DQN variant, targeted safety/liveness/uncertainty stress tests, and a…
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