Online traffic signal control through sample-based constrained optimization

• Main Authors: DHAMIJA, Srishti, GON, Alolika, VARAKANTHAM, Pradeep, YEOH, William
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: C (programming language); Constrained optimization; Decision making; Scheduling; Street traffic control; Traffic congestion; Vehicles; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/5964; https://ink.library.smu.edu.sg/context/sis_research/article/6967/viewcontent/6682_Article_Text_9911_1_10_20200521.pdf
• Institution: Singapore Management University

Traffic congestion reduces productivity of individuals by increasing time spent in traffic and also increases pollution. To reduce traffic congestion by better handling dynamic traffic patterns, recent work has focused on online traffic signal control. Typically, the objective in traffic signal cont...