{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T02:04:17Z","timestamp":1791425057788,"version":"4.3.3"},"reference-count":88,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100009877","name":"University of Michigan-Dearborn","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009877","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":[[2021,12]]},"DOI":"10.1016\/j.aap.2021.106450","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T10:47:33Z","timestamp":1634813253000},"page":"106450","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":33,"special_numbering":"C","title":["Effects of an integrated collision warning system on risk compensation behavior: An examination under naturalistic driving conditions"],"prefix":"10.1016","volume":"163","author":[{"given":"Bo","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuren","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J.","family":"LeBlanc","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2021.106450_b0005","series-title":"2012 15th International IEEE Conference on Intelligent Transportation Systems","first-page":"1221","article-title":"Analysis and prediction of deceleration behavior during car following using stochastic driver-behavior model","author":"Angkititrakul","year":"2012"},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0010","first-page":"47","article-title":"Modeling of driver lane choice behavior with artificial neural networks (ANN) and linear regression (LR) analysis on deformed roads","volume":"4","author":"Aydin","year":"2014","journal-title":"Computer Sci. Eng."},{"key":"10.1016\/j.aap.2021.106450_b0015","article-title":"An examination of teen drivers\u2019 car-following behaviour when cCompared to adult drivers (2020)","volume":"147","author":"Bao","year":"2020","journal-title":"Accident Anal. Prevention"},{"key":"10.1016\/j.aap.2021.106450_b0020","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.trb.2015.05.017","article-title":"A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables","volume":"79","author":"Bhat","year":"2015","journal-title":"Transp. Res. Part B: Methodological"},{"key":"10.1016\/j.aap.2021.106450_b0025","series-title":"Teen IVBSS FOT: Methodology and results","author":"Buonarosa","year":"2013"},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0030","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1002\/gepi.20041","article-title":"Identifying SNPs predictive of phenotype using random forests","volume":"28","author":"Bureau","year":"2005","journal-title":"Genet. Epidemiol."},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0035","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1177\/0049124104268644","article-title":"Multimodel inference: understanding AIC and BIC in model selection","volume":"33","author":"Burnham","year":"2004","journal-title":"Sociological Methods Res."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0040","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1177\/0018720817748145","article-title":"Does talking on a cell phone, with a passenger, or dialing affect driving performance? An updated systematic review and meta-analysis of experimental studies","volume":"60","author":"Caird","year":"2018","journal-title":"Hum. Factors"},{"key":"10.1016\/j.aap.2021.106450_b0045","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.jsr.2016.03.010","article-title":"Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes","volume":"57","author":"Carney","year":"2016","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0050","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.aap.2019.05.024","article-title":"Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: an association rules mining approach","volume":"129","author":"Das","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105578","article-title":"Detecting lane change maneuvers using SHRP2 naturalistic driving data: a comparative study machine learning techniques","volume":"142","author":"Das","year":"2020","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0060","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/S0386-1112(14)60151-5","article-title":"Older drivers and ADAS: which systems improve road safety?","volume":"30","author":"Davidse","year":"2006","journal-title":"IATSS Res."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0065","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.trc.2011.08.006","article-title":"Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior","volume":"21","author":"Farah","year":"2012","journal-title":"Transp. Res. Part C: Emerging Technol."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0070","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jsr.2009.12.002","article-title":"Effects of in-vehicle monitoring on the driving behavior of teenagers","volume":"41","author":"Farmer","year":"2010","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0075","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.aap.2017.04.012","article-title":"Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data","volume":"104","author":"Feng","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0080","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.trc.2019.06.017","article-title":"Quantifying regional heterogeneity effect on drivers\u2019 speeding behavior using SHRP2 naturalistic driving data: A multilevel modeling approach","volume":"106","author":"Ghasemzadeh","year":"2019","journal-title":"Transp. Res. Part C: Emerging Technol."},{"issue":"12","key":"10.1016\/j.aap.2021.106450_b0085","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1177\/0361198118758035","article-title":"Parametric ordinal logistic regression and non-parametric decision tree approaches for assessing the impact of weather conditions on driver speed selection using naturalistic driving data","volume":"2672","author":"Ghasemzadeh","year":"2018","journal-title":"Transp. Res. Rec."},{"issue":"5","key":"10.1016\/j.aap.2021.106450_b0090","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.jadohealth.2018.04.012","article-title":"Crash risk and risky driving behavior among adolescents during learner and independent driving periods","volume":"63","author":"Gershon","year":"2018","journal-title":"J. Adolesc. Health"},{"issue":"3","key":"10.1016\/j.aap.2021.106450_b0095","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s11222-016-9646-1","article-title":"Correlation and variable importance in random forests","volume":"27","author":"Gregorutti","year":"2017","journal-title":"Statistics and Computing"},{"issue":"9468","key":"10.1016\/j.aap.2021.106450_b0100","doi-asserted-by":"crossref","first-page":"1429","DOI":"10.1016\/S0140-6736(05)66379-9","article-title":"Compared to what? Finding controls for case-control studies","volume":"365","author":"Grimes","year":"2005","journal-title":"The Lancet"},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0105","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.jsr.2011.03.003","article-title":"Case\u2013control and cross-sectional methods for estimating crash modification factors: Comparisons from roadway lighting and lane and shoulder width safety effect studies","volume":"42","author":"Gross","year":"2011","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0110","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.trf.2017.06.009","article-title":"Emotional intelligence and risky driving behaviour in adults","volume":"49","author":"Hayley","year":"2017","journal-title":"Transp. Res. Part F: Traffic Psychology Behaviour"},{"key":"10.1016\/j.aap.2021.106450_b0115","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.jsr.2018.07.009","article-title":"Driver prototypes and behavioral willingness: Young driver risk perception and reported engagement in risky driving","volume":"66","author":"Harbeck","year":"2018","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0120","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.trf.2018.06.018","article-title":"Young driver perceived risk and risky driving: A theoretical approach to the \u201cfatal five\u201d","volume":"58","author":"Harbeck","year":"2018","journal-title":"Transp. Res. Part F: Traffic Psychology Behaviour"},{"key":"10.1016\/j.aap.2021.106450_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.iot.2019.100059","article-title":"Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches","volume":"7","author":"Hasan","year":"2019","journal-title":"Internet of Things"},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0130","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1136\/ip.6.2.82","article-title":"Risky business: safety regulations, risk compensation, and individual behavior","volume":"6","author":"Hedlund","year":"2000","journal-title":"Injury Prevention"},{"issue":"6","key":"10.1016\/j.aap.2021.106450_b0135","doi-asserted-by":"crossref","first-page":"1556","DOI":"10.1016\/j.aap.2010.03.013","article-title":"Multilevel data and Bayesian analysis in traffic safety","volume":"42","author":"Huang","year":"2010","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0140","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.aap.2007.04.002","article-title":"Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis","volume":"40","author":"Huang","year":"2008","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0145","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.trf.2012.08.011","article-title":"Development and validation of safety climate scales for lone workers using truck drivers as exemplar","volume":"17","author":"Huang","year":"2013","journal-title":"Transp. Res. Part F: Traffic Psychology Behaviour"},{"key":"10.1016\/j.aap.2021.106450_b0150","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.jsr.2017.02.013","article-title":"Effects of an integrated collision warning system on teenage driver behavior","volume":"61","author":"Jermakian","year":"2017","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0155","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.aap.2018.04.031","article-title":"Analysing truck harsh braking incidents to study roundabout accident risk","volume":"122","author":"Kamla","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0160","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.ssci.2019.06.034","article-title":"Predicting types of occupational accidents at construction sites in Korea using random forest model","volume":"120","author":"Kang","year":"2019","journal-title":"Saf. Sci."},{"issue":"4","key":"10.1016\/j.aap.2021.106450_b0165","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1080\/23249935.2020.1810169","article-title":"Utilizing black-box visualization tools to interpret non-parametric real-time risk assessment models","volume":"17","author":"Khoda Bakhshi","year":"2021","journal-title":"Transportmetrica A: Transport Sci."},{"key":"10.1016\/j.aap.2021.106450_b0170","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jsr.2017.02.017","article-title":"Distracting behaviors among teenagers and young, middle-aged, and older adult drivers when driving without and with warnings from an integrated vehicle safety system","volume":"61","author":"Kidd","year":"2017","journal-title":"J. Saf. Res."},{"issue":"1","key":"10.1016\/j.aap.2021.106450_b0175","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1056\/NEJMsa1204142","article-title":"Distracted driving and risk of road crashes among novice and experienced drivers","volume":"370","author":"Klauer","year":"2014","journal-title":"N. Engl. J. Med."},{"issue":"sup2","key":"10.1016\/j.aap.2021.106450_b0180","doi-asserted-by":"crossref","first-page":"S109","DOI":"10.1080\/15389588.2015.1063619","article-title":"Comparison of expected crash and injury reduction from production forward collision and lane departure warning systems","volume":"16","author":"Kusano","year":"2015","journal-title":"Traffic Inj. Prev."},{"issue":"8","key":"10.1016\/j.aap.2021.106450_b0185","doi-asserted-by":"crossref","first-page":"2528","DOI":"10.1109\/TITS.2017.2754467","article-title":"Visual-manual distraction detection using driving performance indicators with naturalistic driving data","volume":"19","author":"Li","year":"2017","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2021.106450_b0190","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.trc.2016.11.011","article-title":"Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities","volume":"74","author":"Li","year":"2017","journal-title":"Transp. Res. Part C: Emerging Technol."},{"key":"10.1016\/j.aap.2021.106450_b0195","article-title":"Online quality inspection of ultrasonic composite welding by combining artificial intelligence technologies with welding process signatures","volume":"108912","author":"Li","year":"2020","journal-title":"Mater. Des."},{"key":"10.1016\/j.aap.2021.106450_b0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105432","article-title":"Detection of driver manual distraction via image-based hand and ear recognition","volume":"137","author":"Li","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0205","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.trc.2016.03.009","article-title":"Delivering improved alerts, warnings, and control assistance using basic safety messages transmitted between connected vehicles","volume":"68","author":"Liu","year":"2016","journal-title":"Transp. Res. Part C: Emerging Technol."},{"key":"10.1016\/j.aap.2021.106450_b0210","first-page":"431","article-title":"Understanding variable importances in forests of randomized trees","author":"Louppe","year":"2013","journal-title":"Adv. Neural Inform. Processing Systems"},{"issue":"3","key":"10.1016\/j.aap.2021.106450_b0215","first-page":"45","article-title":"Studying effects of advanced driver assistance systems (ADAS) on individual and group level using multi-driver simulation","volume":"4","author":"Maag","year":"2012","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0220","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.aap.2007.08.010","article-title":"Relationships between young drivers\u2019 personality characteristics, risk perceptions, and driving behaviour","volume":"40","author":"Machin","year":"2008","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0225","first-page":"2359","article-title":"Influence of a driver support system on situation awareness and information processing in response to lead vehicle braking","volume":"Vol. 48(19)","author":"Manser","year":"2004"},{"key":"10.1016\/j.aap.2021.106450_b0230","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.amar.2016.04.001","article-title":"Unobserved heterogeneity and the statistical analysis of highway accident data","volume":"11","author":"Mannering","year":"2016","journal-title":"Anal. Methods Accident Res."},{"key":"10.1016\/j.aap.2021.106450_b0235","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jsr.2015.01.001","article-title":"Tracking progress in teenage driver crash risk in the United States since the advent of graduated driver licensing programs","volume":"53","author":"McCartt","year":"2015","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2021.106450_b0240","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.aap.2018.03.004","article-title":"Predicting performance and safety based on driver fatigue","volume":"126","author":"Mollicone","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0245","series-title":"23rd International Conference on the Enhanced Safety of Vehicles","article-title":"May). Collision avoidance features: initial results","author":"Moore","year":"2013"},{"key":"10.1016\/j.aap.2021.106450_b0250","series-title":"Vehicular Electronics and Safety (ICVES), 2009 IEEE International Conference on","first-page":"108","article-title":"Driver evaluation based on classification of rapid decelerating patterns","author":"Naito","year":"2009"},{"key":"10.1016\/j.aap.2021.106450_b0255","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.aap.2016.09.009","article-title":"Cooperative warning systems: The impact of false and unnecessary alarms on drivers\u2019 compliance","volume":"97","author":"Naujoks","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0260","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.trf.2014.06.010","article-title":"Behavioral adaptation caused by predictive warning systems\u2013The case of congestion tail warnings","volume":"26","author":"Naujoks","year":"2014","journal-title":"Transp. Res. Part F: Traffic Psychology Behaviour"},{"issue":"21","key":"10.1016\/j.aap.2021.106450_b0265","doi-asserted-by":"crossref","first-page":"3711","DOI":"10.1093\/bioinformatics\/bty373","article-title":"The revival of the Gini importance?","volume":"34","author":"Nembrini","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/j.aap.2021.106450_b0270","unstructured":"NHTSA (2018). Traffic safety facts 2016. National Highway Traffic Safety Administration, Washington, DC, 101-102."},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0275","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TITS.2010.2043099","article-title":"Driver behavior analysis during ACC activation and deactivation in a real traffic environment","volume":"11","author":"Pauwelussen","year":"2010","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"5","key":"10.1016\/j.aap.2021.106450_b0280","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1080\/01441640801987825","article-title":"Advanced driver assistance systems from autonomous to cooperative approach","volume":"28","author":"Piao","year":"2008","journal-title":"Transport Reviews"},{"key":"10.1016\/j.aap.2021.106450_b0285","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105614","article-title":"Safety effects of traffic lane and shoulder widths on two-lane undivided rural roads: A matched case-control study from Norway","volume":"144","author":"Pokorny","year":"2020","journal-title":"Accid. Anal. Prev."},{"issue":"5","key":"10.1016\/j.aap.2021.106450_b0290","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/j.jcjo.2017.12.016","article-title":"Naturalistic driving patterns of older adults before and after cataract surgery","volume":"53","author":"Porter","year":"2018","journal-title":"Can. J. Ophthalmol."},{"key":"10.1016\/j.aap.2021.106450_b0295","doi-asserted-by":"crossref","first-page":"63","DOI":"10.3141\/2023-08","article-title":"Relationship of lane width to safety on urban and suburban arterials","volume":"2023","author":"Potts","year":"2007","journal-title":"Transp. Res. Record: J. Transp. Res. Board"},{"key":"10.1016\/j.aap.2021.106450_b0300","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2019.104558","article-title":"The moderating effect of delay discounting between sensation seeking and risky driving behavior","volume":"123","author":"Qu","year":"2020","journal-title":"Saf. Sci."},{"issue":"3","key":"10.1016\/j.aap.2021.106450_b0305","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1016\/j.aap.2010.11.015","article-title":"Age and gender differences in risky driving: The roles of positive affect and risk perception","volume":"43","author":"Rhodes","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0310","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.aap.2015.03.013","article-title":"Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis","volume":"79","author":"Roshandel","year":"2015","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0315","doi-asserted-by":"crossref","unstructured":"Sayer, J. R., Bogard, S. E., Buonarosa, M. L., LeBlanc, D. J., Funkhouser, D. S., Bao, S., ... & Winkler, C. B. (2011). Integrated vehicle-based safety systems light-vehicle field operational test key findings report. Report No. UMTRI-2010-30. Ann Arbor, MI: University of Michigan Transportation Research Institute.","DOI":"10.1037\/e621772011-001"},{"key":"10.1016\/j.aap.2021.106450_b0320","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.aap.2015.11.015","article-title":"Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis","volume":"87","author":"Simmons","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0325","doi-asserted-by":"crossref","unstructured":"Simons-Morton, B. G., Ouimet, M. C., Wang, J., Klauer, S. G., Lee, S. E., & Dingus, T. A. (2009, June). Hard braking events among novice teenage drivers by passenger characteristics. In Proceedings of the International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design (Vol. 2009, p. 236). NIH Public Access.","DOI":"10.17077\/drivingassessment.1327"},{"issue":"12","key":"10.1016\/j.aap.2021.106450_b0330","doi-asserted-by":"crossref","first-page":"2362","DOI":"10.2105\/AJPH.2011.300248","article-title":"Crash and risky driving involvement among novice adolescent drivers and their parents","volume":"101","author":"Simons-Morton","year":"2011","journal-title":"Am. J. Public Health"},{"issue":"2","key":"10.1016\/j.aap.2021.106450_b0335","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0148511","article-title":"Factors associated with injuries among commercial motorcyclists: evidence from a matched case control study in Kampala City, Uganda","volume":"11","author":"Tumwesigye","year":"2016","journal-title":"PloS One"},{"key":"10.1016\/j.aap.2021.106450_b0340","unstructured":"Vrolix, K. (2016). Behavioral adaptation, risk compensation, risk homeostatis and moral hazard in traffic safety. Retrieve May 13, 2020, from https:\/\/doclib. uhasselt. be\/dspace\/bitstream\/1942\/4002\/1\/behavioraladaptation. pdf."},{"key":"10.1016\/j.aap.2021.106450_b0345","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.trc.2018.05.017","article-title":"How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data","volume":"92","author":"Wali","year":"2018","journal-title":"Transp. Res. Part C: Emerging Technol."},{"key":"10.1016\/j.aap.2021.106450_b0350","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.105277","article-title":"Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events\u2014Concept of event-based driving volatility","volume":"132","author":"Wali","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0355","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.jsr.2017.10.006","article-title":"Examining drivers' eye glance patterns during distracted driving: Insights from scanning randomness and glance transition matrix","volume":"63","author":"Wang","year":"2017","journal-title":"J. Saf. Res."},{"issue":"8","key":"10.1016\/j.aap.2021.106450_b0360","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1080\/15389588.2017.1320549","article-title":"A spectral power analysis of driving behavior changes during the transition from nondistraction to distraction","volume":"18","author":"Wang","year":"2017","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0365","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.trc.2014.12.014","article-title":"What is the level of volatility in instantaneous driving decisions?","volume":"58","author":"Wang","year":"2015","journal-title":"Transp. Res. Part C: Emerging Technol."},{"issue":"5","key":"10.1016\/j.aap.2021.106450_b0370","doi-asserted-by":"crossref","first-page":"3887","DOI":"10.1109\/TVT.2018.2793889","article-title":"Learning and inferring a driver's braking action in car-following scenarios","volume":"67","author":"Wang","year":"2018","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"4","key":"10.1016\/j.aap.2021.106450_b0375","doi-asserted-by":"crossref","first-page":"1034","DOI":"10.1016\/j.ssci.2011.12.005","article-title":"Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones","volume":"50","author":"Weng","year":"2012","journal-title":"Saf. Sci."},{"key":"10.1016\/j.aap.2021.106450_b0380","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.aap.2019.04.017","article-title":"Mobile phone conversation distraction: Understanding differences in impact between simulator and naturalistic driving studies","volume":"129","author":"Wijayaratna","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0385","unstructured":"Wright, M. N., & Ziegler, A. (2015). ranger: A fast implementation of random forests for high dimensional data in C++ and R. ArXiv Preprint ArXiv:1508.04409."},{"key":"10.1016\/j.aap.2021.106450_b0390","unstructured":"Wright, M. N., Wager, S., Probst, P., & Wright, M. M. N. (2019). Package 'ranger.' Retrieved from https:\/\/github.com\/imbs-hl\/ranger."},{"issue":"4","key":"10.1016\/j.aap.2021.106450_b0395","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1080\/15389588.2015.1100722","article-title":"Exploratory multinomial logit model\u2013based driver injury severity analyses for teenage and adult drivers in intersection-related crashes","volume":"17","author":"Wu","year":"2016","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0400","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.aap.2018.11.008","article-title":"Development of crash modification factors of horizontal curve design features for single-motorcycle crashes on rural two-lane highways: A matched case-control study","volume":"123","author":"Xin","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0405","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.ssci.2013.10.012","article-title":"Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data","volume":"63","author":"Yu","year":"2014","journal-title":"Saf. Sci."},{"key":"10.1016\/j.aap.2021.106450_b0410","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.trc.2019.07.007","article-title":"a). Examination and prediction of drivers\u2019 reaction when provided with V2I communication-based intersection maneuver strategies","volume":"106","author":"Yu","year":"2019","journal-title":"Transp. Res. Part C: Emerging Technol."},{"key":"10.1016\/j.aap.2021.106450_b0415","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2020.102957","article-title":"Measurement and prediction of driver trust in automated vehicle technologies: An application of hand position transition probability matrix","volume":"124","author":"Yu","year":"2021","journal-title":"Transp. Res. Part C: Emerging Technol."},{"key":"10.1016\/j.aap.2021.106450_b0420","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.aap.2019.05.011","article-title":"b). Quantifying visual road environment to establish a speeding prediction model: an examination using naturalistic driving data","volume":"129","author":"Yu","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0425","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.aap.2015.08.014","article-title":"Safety reliability evaluation when vehicles turn right from urban major roads onto minor ones based on driver's visual perception","volume":"95","author":"Yu","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0430","article-title":"The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage","author":"Yue","year":"2019","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2021.106450_b0435","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.aap.2012.07.019","article-title":"Self-reported and observed risky driving behaviors among frequent and infrequent cell phone users","volume":"61","author":"Zhao","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2021.106450_b0440","article-title":"Factors associated with consecutive and non-consecutive crashes on freeways: A two-level logistic modeling approach","volume":"154","author":"Zhou","year":"2021","journal-title":"Accid. Anal. Prev."}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457521004814?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457521004814?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T23:26:18Z","timestamp":1757546778000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457521004814"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":88,"alternative-id":["S0001457521004814"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2021.106450","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Effects of an integrated collision warning system on risk compensation behavior: An examination under naturalistic driving conditions","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2021.106450","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"106450"}}