Online traffic signal control through sample-based constrained optimization

Online traffic signal control through sample-based constrained optimization

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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