PSO-BFO 알고리즘을 통한 교통 신호 최적화 연구
A Study of Traffic Signal Timing Optimization Based on PSO-BFO Algorithm
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초록
최근 인공지능 알고리즘을 활용한 교통 신호 제어에 관한 관심 증대와 함께, 관련 모델구축연구가 활발히 진행되고 있다. 그러나 대부분의 연구는 독립 교차로를 대상으로, 교통량 변화에 연동되는 신호 주기 산정을 위한 이론 전개가 주를 이루고 있다. 본 연구에서는 신호제어알고리즘 구축을 위한 실증 분석을 통해, 신호운영과 회전교차 방식의 실제 교차로를 대상으로 분석을 진행하였다. 기존 연구에서 많이 활용되는 GA와 PSO 알고리즘을 개선한 PSO-BFO 알고리즘을 제시하여 두 교차로의 운영 효과 증진을 위한 신호제어 방안을 강구 하였다. 그결과, 158초의 신호 주기하에 신호 교차로의 경우, 용량 증대 3.4%, 지체도 및 정지횟수 감소는각각 8.2%, 8.3%의 효과가 발생하고, 회전교차로에서는 용량증대 9.2%, 지체도 및 정지횟수 감소가 각각 7.1%, 27.2%에 이르는 효과가 발생하는 것으로 나타났다.
Abstract
Recently, research on traffic signal control using artificial intelligence algorithms has been receiving attention, and many traffic signal control models are being studied. However, most studies either focused on independent intersections or are theoretical studies that calculate signal cycle length according to changes in traffic volume. Therefore, this study was conducted on a signalized intersection – roundabout in Gajwa-ro. The Particle Swarm Optimization – Bacterial Foraging Optimization (PSO-BFO) algorithm was proposed, which is developed from the GA and PSO algorithms for minimizing congestion at two intersections. As a result, optimum cycle length was determined to be 158 seconds. The Verkehr In Stadten – SIMulationsmodell (VISSIM) results showed that there was 3.4% increased capacity, 8.2% reduced delay and 8.3% reduced number of stops at the Gajwa-ro signalized intersection. Additionally, at the roundabout, a 9.2% increase in capacity, a 7.1% reduction in delay, and a 27.2% decrease in the number of stops was observed.
참고문헌 (16)
- An, H. K., "Operational optimization at signalized metering roundabouts using cuckoo search", local search algorithm, 2022, pp.55, 1110~1123
- An, H. K., "An Analysis of a Partially Signalized Roundabout using SIDRA 6 Software", Asian Transport Studies, 4, pp.314~329 (2016)
- Arel, L., "Reinforcement learning-based multi-agent system for network traffic signal control", IET Intelligent Transport Systems, 4, pp.128~135 (2010)
- Chen, H., "Adaptive bacterial foraging optimization", Abstract and Applied Analysis, 2011, pp.1~27 (2011)
- Experience in urban traffic management and demand management in developing countries, "Cracknell, J. A", ~, pp.No. Final Report 2000 (2000)
- 한음, "V2X 통신환경에서의 독립교차로 신호 최적제어 알고리즘 개발 연구", 한국ITS학회 논문지, 15(6), pp.90~101 (2016), 한국ITS학회[DOI]
- 한음, "V2I 통신환경을 활용한 연동교차로 교통신호 실시간 제어 연구", 한국ITS학회 논문지, 17(3), pp.59~71 (2018), 한국ITS학회[DOI]
- Hymel, K. M., "Induced demand and rebound effects in road transport", Transportation Research Part B : Methodological, 44, pp.1220~1241 (2010)
- Jabbarpour, M. R., "Applications of computational intelligence in vehicle traffic congestion problem : A survey", Soft Computing, 22, pp.2299~2320 (2018)
- Jia, H., "Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm", Advances in Mechanical Engineering, 11, pp.1~9 (2019)
- Khadhir, A., "A Microsimulation-Based Stochastic Optimization Approach for Optimal Traffic Signal Design", Transportation in Developing Economies, 6, pp.19~ (2020)
- 김대호, "다중 교차로에서 협력적 교통신호제어에 대한 연구", 전기전자학회논문지, 23(4), pp.1381~1386 (2019), 한국전기전자학회[DOI]
- Qadri, S. S. S. M., "State-of-art review of traffic signal control methods : Challenges and opportunities", European Transport Research Review, 2020, pp.1~23 (2020)
- Rahman, I., "On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles", Alexandria Engineering Journal, 55, pp.419~426 (2016)
- Leiting Sun, "Microscopic Simulation and Optimization of Signal Timing based on Multi-Agent: A Case Study of the Intersection in Tianjin", KSCE Journal of Civil Engineering, 22(9), pp.3373~3382 (2018), 대한토목학회[DOI]
- Traffic signal settings, Road Research Technical Paper, "Webster, F. V.", 1~44 (1958)