{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T02:16:07Z","timestamp":1788488167316,"version":"build-2803163510"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:00:00Z","timestamp":1626048000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004956","name":"Bundesministerium fur Verkehr Innovation und Technologie","doi-asserted-by":"publisher","award":["BMVIT-199.940\/0002-IV\/IVVS\/2016"],"award-info":[{"award-number":["BMVIT-199.940\/0002-IV\/IVVS\/2016"]}],"id":[{"id":"10.13039\/501100004956","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis & Prevention"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1016\/j.aap.2021.106297","type":"journal-article","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T13:34:47Z","timestamp":1626442487000},"page":"106297","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Deriving a joint risk estimate from dynamic data collected at motorcycle rides"],"prefix":"10.1016","volume":"159","author":[{"given":"Andreas","family":"Hula","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"F\u00fcrnsinn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Klemens","family":"Schwieger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Saleh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manfred","family":"Neumann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Horst","family":"Ecker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2021.106297_b0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105615","article-title":"Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes","volume":"144","author":"Afghari","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105331","article-title":"Descriptive analysis of the effect of back protector on the prevention of vertebral and thoracolumbar injuries in serious motorcycle accident","volume":"135","author":"Afquir","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105733","article-title":"Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data","volume":"146","author":"Arvin","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0020","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.aap.2013.03.003","article-title":"Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation","volume":"55","author":"B\u00edl","year":"2013","journal-title":"Accident Analysis and Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0025","series-title":"Pattern Recognition and Machine Learning","author":"Bishop","year":"2006"},{"key":"10.1016\/j.aap.2021.106297_b0030","series-title":"Behavioural Research in Road Safety 2005: Fifteenth Seminar. Transport for London","article-title":"Why ride powered two-wheelers","author":"Broughton","year":"2005"},{"key":"10.1016\/j.aap.2021.106297_b0035","series-title":"2017 25th International Conference on Systems Engineering (ICSEng)","first-page":"488","article-title":"Road vehicle alert system using IOT","author":"Chaczko","year":"2017"},{"key":"10.1016\/j.aap.2021.106297_b0040","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Machine Learning"},{"key":"10.1016\/j.aap.2021.106297_b0045","series-title":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","first-page":"1","article-title":"Traffic hotspots visualization and warning system","author":"Cuenca","year":"2018"},{"key":"10.1016\/j.aap.2021.106297_b0050","unstructured":"EC Report, 2020. Mobility and transport: Road Safety: Making roads safer for motorcycles and mopeds. URL: https:\/\/ec.europa.eu\/transport\/road_safety\/users\/motorcyclists-mopdeds_en."},{"key":"10.1016\/j.aap.2021.106297_b0055","series-title":"EVU Proceedings 25th Annual Congress","article-title":"MoProVe - A probe vehicle for traffic accident research","author":"Ecker","year":"2016"},{"key":"10.1016\/j.aap.2021.106297_b0060","unstructured":"Eenink, R., Barnard, Y., Baumann, M., Augros, X., Utesch, F., 2014. UDRIVE: the European naturalistic driving study."},{"key":"10.1016\/j.aap.2021.106297_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105493","article-title":"Transferability of safety performance functions and hotspot identification for freeways of the United States and China","volume":"139","author":"Feng","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105429","article-title":"Predicting real-time traffic conflicts using deep learning","volume":"136","author":"Formosa","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0075","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1080\/01441640110091215","article-title":"Classification of driver-assistance systems according to their impact on road safety and traffic efficiency","volume":"22","author":"Golias","year":"2002","journal-title":"Transport Reviews"},{"key":"10.1016\/j.aap.2021.106297_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105528","article-title":"Crash causation and prevention","volume":"143","author":"Hauer","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0085","unstructured":"Hula, A., 2020. Method for determination of accidental hotspots for motorised two-wheeled vehicles. URL: https:\/\/register.epo.org\/application?lng=en&number=EP19823762."},{"key":"10.1016\/j.aap.2021.106297_b0090","series-title":"Proceedings of the 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV)","article-title":"Objectifying and predicting motorcycle accident risk through riding dynamics","author":"Hula","year":"2019"},{"key":"10.1016\/j.aap.2021.106297_b0095","unstructured":"International Organization for Standardization, 2015. ISO 11898-1:2015 Road vehicles \u2013 Controller area network (CAN) \u2013 Part 1: Data link layer and physical signalling."},{"key":"10.1016\/j.aap.2021.106297_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105873","article-title":"A taxonomy of driving errors and violations: Evidence from the naturalistic driving study","volume":"151","author":"Khattak","year":"2021","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105952","article-title":"A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania","volume":"151","author":"Li","year":"2021","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0110","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1093\/comjnl\/15.4.326","article-title":"On the theory and construction of k-clusters","volume":"15","author":"Ling","year":"1972","journal-title":"The Computer Journal"},{"key":"10.1016\/j.aap.2021.106297_b0115","series-title":"Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"MacQueen","year":"1967"},{"key":"10.1016\/j.aap.2021.106297_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105297","article-title":"High-speed helmeted head impacts in motorcycling: A computational study","volume":"134","author":"Meng","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105548","article-title":"Quantifying accident risk and severity due to speed from the reaction point to the critical conflict in fatal motorcycle accidents","volume":"141","author":"Murphy","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105397","article-title":"Estimated crash injury risk and crash characteristics for motorsport drivers","volume":"136","author":"Patalak","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0135","series-title":"R: A language and environment for statistical computing","author":"R Core Team","year":"2018"},{"key":"10.1016\/j.aap.2021.106297_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105731","article-title":"Motorcycle safety after-dark: The factors associated with greater risk of road-traffic collisions","volume":"146","author":"Robbins","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0145","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1037\/h0042519","article-title":"The perceptron: A probabilistic model for information storage and organization in the brain","volume":"65","author":"Rosenblatt","year":"1958","journal-title":"Psychological Review"},{"key":"10.1016\/j.aap.2021.106297_b0150","series-title":"Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers UbiComp \u201917","first-page":"365","article-title":"Autonomously detecting and classifying traffic accident hotspots","author":"Ryder","year":"2017"},{"key":"10.1016\/j.aap.2021.106297_b0155","series-title":"Twenty-Fourth European Conference on Information Systems (ECIS), Istanbul, Turkey","article-title":"An in-vehicle information system providing accident hotspot warnings","author":"Ryder","year":"2016"},{"key":"10.1016\/j.aap.2021.106297_b0160","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.dss.2017.05.004","article-title":"Preventing traffic accidents with in-vehicle decision support systems-The impact of accident hotspot warnings on driver behaviour","volume":"99","author":"Ryder","year":"2017","journal-title":"Decision Support Systems"},{"key":"10.1016\/j.aap.2021.106297_b0165","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1080\/15389588.2019.1700408","article-title":"Active safety systems for powered two-wheelers: A systematic review","volume":"21","author":"Savino","year":"2020","journal-title":"Traffic Injury Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0170","series-title":"Proceedings of the 12th International Motorcycle Conference Cologne","article-title":"ViaMotorrad - Can motorcycle safety be measured?","author":"Schwieger","year":"2018"},{"key":"10.1016\/j.aap.2021.106297_b0175","series-title":"Proceedings of the 13th International Motorcycle Conference Cologne","article-title":"Avoiding motorcycle accidents by motorcycle risk mapping","author":"Schwieger","year":"2020"},{"key":"10.1016\/j.aap.2021.106297_b0180","doi-asserted-by":"crossref","first-page":"205","DOI":"10.32614\/RJ-2016-021","article-title":"Tmclust 5: clustering, classification and density estimation using gaussian finite mixture models","volume":"8","author":"Scrucca","year":"2016","journal-title":"The R Journal"},{"key":"10.1016\/j.aap.2021.106297_b0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105319","article-title":"Detecting motorcycle helmet use with deep learning","volume":"134","author":"Siebert","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105908","article-title":"Analyzing driver behavior under naturalistic driving conditions: A review","volume":"150","author":"Singh","year":"2021","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106065","article-title":"The effectiveness of different types of motorcycle helmets - A scoping review","volume":"154","author":"Tabary","year":"2021","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105551","article-title":"Improving the transferability of the crash prediction model using the TrAdaBoost. R2 algorithm","volume":"141","author":"Tang","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0205","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"Tipping","year":"2001","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.aap.2021.106297_b0210","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1080\/00423110601169713","article-title":"Estimation of land vehicle roll and pitch angles","volume":"45","author":"Tseng","year":"2007","journal-title":"Vehicle System Dynamics"},{"issue":"1","key":"10.1016\/j.aap.2021.106297_b0215","first-page":"223","article-title":"Accurate trajectory and orientation of a motorcycle derived from low-cost satellite and inertial measurement systems","volume":"7","author":"Waegli","year":"2008","journal-title":"Engineering of Sport"},{"key":"10.1016\/j.aap.2021.106297_b0220","series-title":"Proceedings, Bicycle and Motorcycle Dynamics 2019, Symposium on the Dynamics and Control of Single Track Vehicles","article-title":"Characterizing pleasurable motorcycle riding with vehicle dynamics data","author":"Will","year":"2019"},{"key":"10.1016\/j.aap.2021.106297_b0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2020.104840","article-title":"Methodological considerations regarding motorcycle naturalistic riding investigations based on the use of g-g diagrams for rider profile detection","volume":"129","author":"Will","year":"2020","journal-title":"Safety Science"},{"key":"10.1016\/j.aap.2021.106297_b0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105697","article-title":"Influences of impact scenarios and vehicle front-end design on head injury risk of motorcyclist","volume":"145","author":"Xiao","year":"2020","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.aap.2021.106297_b0235","doi-asserted-by":"crossref","DOI":"10.1007\/s12205-015-0661-0","article-title":"Spatial analysis of two-wheeled vehicles traffic crashes: Osmaniye in Turkey","volume":"19","author":"Yalcin","year":"2015","journal-title":"KSCE Journal of Civil Engineering"},{"key":"10.1016\/j.aap.2021.106297_b0240","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v014.i06","article-title":"zoo: S3 infrastructure for regular and irregular time series","volume":"14","author":"Zeileis","year":"2005","journal-title":"Journal of Statistical Software"}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457521003286?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457521003286?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T09:05:45Z","timestamp":1762074345000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457521003286"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":48,"alternative-id":["S0001457521003286"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2021.106297","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deriving a joint risk estimate from dynamic data collected at motorcycle rides","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2021.106297","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"106297"}}