{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-simple-traffic-signal-control-using-queue","title":"A Simple Traffic Signal Control Using Queue Length Information","arxiv_id":"2006.06337","date":"2020-06-11","proceeding":null,"authors":[],"abstract":"Developments in sensor technologies, especially emerging connected and\nautonomous vehicles, facilitate better queue length (QL) measurements on\nsignalized intersection approaches in real time. Currently there are very\nlimited methods that utilize QL information in real-time to enhance the\nperformance of signalized intersections. In this paper we present methods for\nQL estimation and a control algorithm that adjusts maximum green times in\nactuated signals at each cycle based on QLs. The proposed method is implemented\nat a single intersection with random and platoon arrivals, and evaluated in\nVISSIM (a microscopic traffic simulation environment) assuming 100 % accurate\ncycle-by-cycle queue length information is available. To test the robustness of\nthe method, numerical experiments are performed where traffic demand is\nincreased and by 20\\% relative to the demand levels for which signal timing\nparameters are optimized. Compared to the typical fully-actuated signal\ncontrol, the proposed QL-based method improves average delay, number of stops,\nand QL for random arrivals, by 6 %, 9 %, and 10 % respectively. In addition,\nthe method improves average delay, number of stops, and QL by 3 %, 3 %, and 11\n% respectively for platoon vehicle arrivals.","url_abs":"http://arxiv.org/abs/2006.06337v1","url_pdf":"http://arxiv.org/pdf/2006.06337v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-simple-traffic-signal-control-using-queue","repo_url":"https://github.com/com19240/ConnectedVehiclesSimData","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"autonomous-vehicles","task_name":"Autonomous Vehicles"},{"task_slug":"traffic-signal-control","task_name":"Traffic Signal Control"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}