{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:47:14Z","timestamp":1761709634383},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030298937"},{"type":"electronic","value":"9783030298944"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29894-4_28","type":"book-chapter","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T17:41:59Z","timestamp":1566495719000},"page":"337-349","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Shunya","family":"Kitagawa","sequence":"first","affiliation":[]},{"given":"Ahmed","family":"Moustafa","sequence":"additional","affiliation":[]},{"given":"Takayuki","family":"Ito","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Chu, T., Wang, J.: Traffic signal control by distributed reinforcement learning with min-sum communication. In: 2017 American Control Conference (ACC), pp. 5095\u20135100 (2017)","DOI":"10.23919\/ACC.2017.7963745"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Tahifa, M., Boumhidi, J., Yahyaouy, A.: Swarm reinforcement learning for traffic signal control based on cooperative multi-agent framework. In: Intelligent Systems and Computer Vision (ISCV), pp. 1\u20136 (2015)","DOI":"10.1109\/ISACV.2015.7105536"},{"key":"28_CR3","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1109\/25.69966","volume":"40","author":"DI Robertson","year":"1991","unstructured":"Robertson, D.I., Bretherton, R.D.: Optimizing networks of traffic signals in real time - the SCOOT method. IEEE Trans. Veh. Technol. 40, 11\u201315 (1991)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"28_CR4","unstructured":"Zhaomeng, C.: Intelligent traffic control central system of Beijing-SCOOT. IEEE, June 2010"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, B., Wang, Q., Liu, F., Kang, L.: Bus signal priority based on SCOOT. IEEE, September 2017","DOI":"10.1109\/ISC2.2017.8090874"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Tahifa, M., Boumhidi, J., Yahyaouy, A.: Swarm reinforcement learning for traffic signal control based on cooperative multi-agent framework. In: ISCV (2015)","DOI":"10.1109\/ISACV.2015.7105536"},{"key":"28_CR7","unstructured":"Rezzai, M., Dachry, W., Mouataouakkil, F., Medromi, H.: Reinforcement learning for traffic control system: study of exploration methods using Q-learning. In: IRJET, October 2017"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Dusparic, I., Cahill, V.: Distributed w-learning: multi-policy optimization in self-organizing systems. IEEE, Septemeber 2009","DOI":"10.1109\/SASO.2009.23"},{"issue":"1","key":"28_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2168260.2168271","volume":"7","author":"Ivana Dusparic","year":"2012","unstructured":"Dusparic, I., Cahill, V.: Autonomic multi-policy optimization in pervasive systems: overview and evaluation. ACM 7 (2012). Article no. 11","journal-title":"ACM Transactions on Autonomous and Adaptive Systems"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Dusparic, I., Monteil, J., Cahill, V.: Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning. IEEE, November 2016","DOI":"10.1109\/ITSC.2016.7795890"},{"key":"28_CR11","unstructured":"Kanzaki, Y., Ohno, K., Takaya, E., Kurihara, S.: Multi-agent traffic signal control system using deep Q-Network. In: The 32nd Annual Conference of the Japanese Society for Artificial Intelligence (2018)"},{"issue":"09","key":"28_CR12","doi-asserted-by":"publisher","first-page":"765","DOI":"10.4236\/jsea.2017.109042","volume":"10","author":"Al Hussain Akoum","year":"2017","unstructured":"Akoum, A.H.: Automatic traffic using image processing. J. Softw. Eng. Appl. 765\u2013776 (2017)","journal-title":"Journal of Software Engineering and Applications"},{"key":"28_CR13","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.cviu.2017.05.015","volume":"167","author":"J Sochor","year":"2017","unstructured":"Sochor, J., Jur\u00e1nek, R., Herout, A.: Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement. J. Comput. Vis. Image Underst. 167, 87\u201398 (2017)","journal-title":"J. Comput. Vis. Image Underst."},{"key":"28_CR14","doi-asserted-by":"publisher","first-page":"68968","DOI":"10.1109\/ACCESS.2018.2868418","volume":"6","author":"H Liu","year":"2018","unstructured":"Liu, H., Ma, J., Yan, W., Liu, W., Zhang, X., Li, C.: Traffic flow detection using distributed fiber optic acoustic sensing. IEEE Access 6, 68968\u201368980 (2018)","journal-title":"IEEE Access"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, K., Yang, Z., Liu, H., Zhang, T., Basar, T.: Fully decentralized multi-agent reinforcement learning with networked agents. PMLR (2018)","DOI":"10.1109\/CDC.2018.8619581"},{"key":"28_CR16","unstructured":"Omidshafiei, S., Pazis, J., Amato, C., How, J.P., Vian, J.: Deep decentralized multi-task multi-agent reinforcement learning under partial observability. In: PMLR (2017)"},{"key":"28_CR17","doi-asserted-by":"publisher","first-page":"52471","DOI":"10.1109\/ACCESS.2018.2869890","volume":"6","author":"Changxi Ma","year":"2018","unstructured":"Ma, C., Hao, W., Wang, A., Zhao, H.: Developing a coordinated signal control system for urban ring road under the vehicle-infrastructure connected environment. IEEE, September 2018","journal-title":"IEEE Access"},{"key":"28_CR18","unstructured":"Calvo, J.A., Dusparic, I.: Heterogeneous multi-agent deep reinforcement learning for traffic lights control. In: AICS (2018)"},{"key":"28_CR19","unstructured":"MLIT homepage. \n                      http:\/\/www.mlit.go.jp\/road\/census\/h27\/\n                      \n                    . Accessed 16 Feb 2019"},{"key":"28_CR20","doi-asserted-by":"crossref","unstructured":"Dusparic, I., Monteil, J., Cahill, V.: Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning. In: ITSC, pp. 1\u20134, Decemeber 2016","DOI":"10.1109\/ITSC.2016.7795890"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2019: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29894-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T17:46:26Z","timestamp":1566495986000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29894-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298937","9783030298944"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29894-4_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuvu, Yanuka Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fiji","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}