공통 신호주기 제약을 고려한 Particle Swarm Optimization 기반 다중 교차로 교통 신호 최적화

Traffic congestion frequently occurs at multiple intersections with high vehicular traffic, particularly during rush hour. Inconsistent signal cycle lengths across intersections can hinder traffic flow, even when an upstream intersection grants a green light. To address this, the signal cycle lengths of multiple intersections should be identical. Furthermore, practical constraints must be considered: (1) all signal times must be integers, (2) phase sequences should remain fixed to prevent accidents and driver confusion, and (3) pedestrian safety must be ensured through sufficient crossing time. This paper proposes a novel particle swarm optimization-based method for optimizing traffic signals at multiple intersections, addressing the need for consistent signal cycle lengths and the practical constraints. The proposed method was evaluated using the traffic simulator SUMO (Simulation of Urban Mobility). Compared to existing signals, the proposed method reduced the average waiting time of vehicles passing through multiple intersections by 10% during morning rush hour, 20% during normal hour, and 31% during evening rush hour.

Recommended citation: 박진환, 허재석* (2024), 공통 신호주기 제약을 고려한 Particle Swarm Optimization 기반 다중 교차로 교통 신호 최적화, 대한산업공학회지, 50(5), 313-324. (KCI)
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