{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:18:56Z","timestamp":1782836336384,"version":"3.54.5"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3037348","type":"journal-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T21:14:09Z","timestamp":1605129249000},"page":"205396-205410","source":"Crossref","is-referenced-by-count":23,"title":["Reducing Congestion in an Intelligent Traffic System With Collaborative and Adaptive Signaling on the Edge"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0886-7819","authenticated-orcid":false,"given":"Abdul","family":"Jaleel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2738-4927","authenticated-orcid":false,"given":"Muhammad Awais","family":"Hassan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8853-305X","authenticated-orcid":false,"given":"Tayyeb","family":"Mahmood","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Usman","family":"Ghani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9462-0109","authenticated-orcid":false,"given":"Atta Ur","family":"Rehman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2890726"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014213"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6243-9_2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5113-5_3"},{"key":"ref31","article-title":"MAXBAND: A versatile program for setting signals on arteries and triangular networks","author":"little","year":"1981"},{"key":"ref30","author":"roess","year":"2004","journal-title":"Traffic Engineering"},{"key":"ref37","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","author":"zhang","year":"2018","journal-title":"arXiv 1802 08757"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2018.1501273"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2018.1491003"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1109\/JAS.2016.7508798","article-title":"Traffic signal timing via deep reinforcement learning","volume":"3","author":"li","year":"2016","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033614"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2732029"},{"key":"ref29","article-title":"Traffic signal timing manual. technical report","author":"koonce","year":"2008"},{"key":"ref2","article-title":"2014 urban mobility report: Powered by Inrix traffic data","author":"schrank","year":"2015"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4108\/eai.13-7-2018.159624"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2912465"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925134"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS.2011.6173581"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700202"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009783"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/app10114011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/HORA49412.2020.9152915"},{"key":"ref50","article-title":"Openai gym","author":"brockman","year":"2016","journal-title":"arXiv 1606 01540 [cs]"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2873150"},{"key":"ref11","first-page":"190","article-title":"The scoot on-line traffic signal optimisation technique","volume":"23","author":"hunt","year":"1982","journal-title":"Traffic Eng Control"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IMCET.2018.8603041"},{"key":"ref12","first-page":"1169","article-title":"Natural actor-critic for road traffic optimisation","author":"richter","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","article-title":"SCATS, sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic","author":"lowrie","year":"1990"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2009.0070"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909390"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2019.1643723"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.121836"},{"key":"ref18","article-title":"A survey on traffic signal control methods","author":"wei","year":"2019","journal-title":"arXiv 1904 08117"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3026111"},{"key":"ref4","article-title":"Inrix global traffic scorecard","author":"cookson","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/009318530603400202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2815182"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2613997"},{"key":"ref8","first-page":"1","article-title":"To adapt or not to adapt–consequences of adapting driver and traffic light agents","author":"bazzan","year":"2005","journal-title":"Adaptive Agents and Multi-Agent Systems III Adaptation and Multi-Agent Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3002943"},{"key":"ref49","first-page":"3053","article-title":"RLlib: Abstractions for distributed reinforcement learning","author":"liang","year":"2018","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2480964"},{"key":"ref46","article-title":"Flow: Architecture and benchmarking for reinforcement learning in traffic control","author":"wu","year":"2017","journal-title":"arXiv 1710 05465"},{"key":"ref45","first-page":"4033","article-title":"Deep exploration via bootstrapped DQN","author":"osband","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569938"},{"key":"ref47","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017","journal-title":"arXiv 1707 06347"},{"key":"ref42","article-title":"Development of a phase-by-phase, arrival-based, delay-optimized adaptive traffic signal control methodology with metaheuristic search","author":"shenoda","year":"2006"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/25.69966"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.226"},{"key":"ref43","first-page":"1","article-title":"Schedule-driven coordination for real-time traffic network control","volume":"1","author":"xie","year":"2012","journal-title":"Proc ICAPS"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09257072.pdf?arnumber=9257072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:54:55Z","timestamp":1639770895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9257072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3037348","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}