{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T02:43:01Z","timestamp":1769913781727,"version":"3.49.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030779603","type":"print"},{"value":"9783030779610","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-77961-0_1","type":"book-chapter","created":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T19:07:58Z","timestamp":1623352078000},"page":"3-16","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Smoothing Speed Variability in Age-Friendly Urban Traffic Management"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0080-6779","authenticated-orcid":false,"given":"Jos\u00e9 Monreal","family":"Bailey","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2960-6896","authenticated-orcid":false,"given":"Hadi","family":"Tabatabaee Malazi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5721-9976","authenticated-orcid":false,"given":"Siobh\u00e1n","family":"Clarke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,9]]},"reference":[{"key":"1_CR1","unstructured":"Peace, dignity and equality on a healthy planet. https:\/\/www.un.org\/en\/sections\/issues-depth\/ageing\/. Accessed 19 Sept 2019"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Bailey, J.M., Golpayegani, F., Clarke, S.: CoMASig: a collaborative multi-agent signal control to support senior drivers. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 1239\u20131244 (2019)","DOI":"10.1109\/ITSC.2019.8917531"},{"issue":"3","key":"1_CR3","first-page":"25:1","volume":"9","author":"Z Cao","year":"2017","unstructured":"Cao, Z., Guo, H., Zhang, J.: A multiagent-based approach for vehicle routing by considering both arriving on time and total travel time. ACM Trans. Intell. Syst. Technol. 9(3), 25:1\u201325:21 (2017)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"7","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1109\/TITS.2016.2613997","volume":"18","author":"Z Cao","year":"2017","unstructured":"Cao, Z., Jiang, S., Zhang, J., Guo, H.: A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion. IEEE Trans. Intell. Transp. Syst. 18(7), 1958\u20131973 (2017)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"1","key":"1_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1080\/15389588.2016.1194980","volume":"18","author":"S Doroudgar","year":"2017","unstructured":"Doroudgar, S., Chuang, H.M., Perry, P.J., Thomas, K., Bohnert, K., Canedo, J.: Driving performance comparing older versus younger drivers. Traffic Inj. Prev. 18(1), 41\u201346 (2017)","journal-title":"Traffic Inj. Prev."},{"key":"1_CR6","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.aap.2016.05.016","volume":"94","author":"M Ebnali","year":"2016","unstructured":"Ebnali, M., Ahmadnezhad, P., Shateri, A., Mazloumi, A., Heidari, M.E., Nazeri, A.R.: The effects of cognitively demanding dual-task driving condition on elderly people\u2019s driving performance; real driving monitoring. Accid. Anal. Prev. 94, 198\u2013206 (2016)","journal-title":"Accid. Anal. Prev."},{"issue":"2","key":"1_CR7","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/s13177-017-0142-6","volume":"16","author":"H Hamidi","year":"2017","unstructured":"Hamidi, H., Kamankesh, A.: An approach to intelligent traffic management system using a multi-agent system. Int. J. Intell. Transp. Syst. Res. 16(2), 112\u2013124 (2017). https:\/\/doi.org\/10.1007\/s13177-017-0142-6","journal-title":"Int. J. Intell. Transp. Syst. Res."},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.trc.2014.05.001","volume":"46","author":"Q He","year":"2014","unstructured":"He, Q., Head, K.L., Ding, J.: Multi-modal traffic signal control with priority, signal actuation and coordination. Transp. Res. Part C Emerg. Technol. 46, 65\u201382 (2014)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"105702","DOI":"10.1016\/j.asoc.2019.105702","volume":"84","author":"MC Ho","year":"2019","unstructured":"Ho, M.C., Lim, J.M.Y., Soon, K.L., Chong, C.Y.: An improved pheromone-based vehicle rerouting system to reduce traffic congestion. Appl. Soft Comput. 84, 105702 (2019)","journal-title":"Appl. Soft Comput."},{"issue":"2","key":"1_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1093\/geronb\/57.2.P101","volume":"57","author":"DF Hultsch","year":"2002","unstructured":"Hultsch, D.F., MacDonald, S.W.S., Dixon, R.A.: Variability in reaction time performance of younger and older adults. J. Gerontol. Ser. B 57(2), 101\u2013115 (2002)","journal-title":"J. Gerontol. Ser. B"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Jin, J., Ma, X.: Hierarchical multi-agent control of traffic lights based on collective learning. Eng. Appl. Artif. Intell. 68, 236\u2013248 (2018). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0952197617302658","DOI":"10.1016\/j.engappai.2017.10.013"},{"key":"1_CR12","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.aap.2018.01.036","volume":"113","author":"S Koppel","year":"2018","unstructured":"Koppel, S., et al.: The driver behaviour questionnaire for older drivers: do errors, violations and lapses change over time? Accid. Anal. Prev. 113, 171\u2013178 (2018)","journal-title":"Accid. Anal. Prev."},{"key":"1_CR13","unstructured":"Krajzewicz, D., Hertkorn, G., Feld, C., Wagner, P.: Sumo (simulation of urban mobility); an open-source traffic simulation, pp. 183\u2013187 (2002)"},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.cie.2017.05.004","volume":"109","author":"K Ng","year":"2017","unstructured":"Ng, K., Lee, C., Zhang, S., Wu, K., Ho, W.: A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion. Comput. Ind. Eng. 109, 151\u2013168 (2017)","journal-title":"Comput. Ind. Eng."},{"issue":"8","key":"1_CR15","doi-asserted-by":"publisher","first-page":"3551","DOI":"10.1109\/TVT.2013.2260422","volume":"62","author":"J Pan","year":"2013","unstructured":"Pan, J., Popa, I.S., Zeitouni, K., Borcea, C.: Proactive vehicular traffic rerouting for lower travel time. IEEE Trans. Veh. Technol. 62(8), 3551\u20133568 (2013)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"1_CR16","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/S1369-8478(03)00007-X","volume":"6","author":"T Raitanen","year":"2003","unstructured":"Raitanen, T., T\u00f6rm\u00e4kangas, T., Mollenkopf, H., Marcellini, F.: Why do older drivers reduce driving? Findings from three European countries. Transport. Res. F Traffic Psychol. Behav. 6(2), 81\u201395 (2003)","journal-title":"Transport. Res. F Traffic Psychol. Behav."},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Richerzhagen, B., Stingl, D., R\u00fcckert, J., Steinmetz, R.: Simonstrator: simulation and prototyping platform for distributed mobile applications. In: Proceedings of the 8th International Conference on Simulation Tools and Techniques, SIMUTools 2015, pp. 99\u2013108. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, BEL (2015)","DOI":"10.4108\/eai.24-8-2015.2261064"},{"key":"1_CR18","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.eswa.2018.12.026","volume":"121","author":"KL Soon","year":"2019","unstructured":"Soon, K.L., Lim, J.M.Y., Parthiban, R., Ho, M.C.: Proactive eco-friendly pheromone-based green vehicle routing for multi-agent systems. Exp. Syst. Appl. 121, 324\u2013337 (2019)","journal-title":"Exp. Syst. Appl."},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.aap.2018.07.013","volume":"120","author":"J Stipancic","year":"2018","unstructured":"Stipancic, J., Miranda-Moreno, L., Saunier, N., Labbe, A.: Surrogate safety and network screening: modelling crash frequency using GPS travel data and latent Gaussian spatial models. Accid. Anal. Prev. 120, 174\u2013187 (2018)","journal-title":"Accid. Anal. Prev."},{"key":"1_CR20","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.aap.2019.02.016","volume":"125","author":"J Stipancic","year":"2019","unstructured":"Stipancic, J., Miranda-Moreno, L., Saunier, N., Labbe, A.: Network screening for large urban road networks: using GPS data and surrogate measures to model crash frequency and severity. Accid. Anal. Prev. 125, 290\u2013301 (2019)","journal-title":"Accid. Anal. Prev."},{"issue":"3","key":"1_CR21","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1016\/j.aap.2010.11.031","volume":"43","author":"KA Sullivan","year":"2011","unstructured":"Sullivan, K.A., Smith, S.S., Horswill, M.S., Lurie-Beck, J.K.: Older adults\u2019 safety perceptions of driving situations: towards a new driving self-regulation scale. Accid. Anal. Prev. 43(3), 1003\u20131009 (2011)","journal-title":"Accid. Anal. Prev."},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Zhou, P., Braud, T., Alhilal, A., Hui, P., Kangasharju, J.: ERL: edge based reinforcement learning for optimized urban traffic light control. In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 849\u2013854 (2019)","DOI":"10.1109\/PERCOMW.2019.8730706"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-77961-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:05:02Z","timestamp":1749506702000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77961-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030779603","9783030779610"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77961-0_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krakow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"156","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"212 full and 43 short papers were selected from 479 submissions to the workshops\/ thematic tracks. The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}