{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T16:39:14Z","timestamp":1793378354367,"version":"4.5.0"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51878498"],"award-info":[{"award-number":["51878498"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["18DZ1200200"],"award-info":[{"award-number":["18DZ1200200"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis &amp; Prevention"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.aap.2022.106834","type":"journal-article","created":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T06:32:23Z","timestamp":1663741943000},"page":"106834","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":30,"special_numbering":"C","title":["Developing an improved automatic preventive braking system based on safety-critical car-following events from naturalistic driving study data"],"prefix":"10.1016","volume":"178","author":[{"given":"Weixuan","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuesong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Glaser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangbin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2022.106834_b0005","unstructured":"Allgemeiner Deutscher Automobil-Club (ADAC), 2013. Comparative Test of Advanced Emergency Braking Systems."},{"key":"10.1016\/j.aap.2022.106834_b0010","series-title":"Proceedings of 2008 IEEE Intelligent Vehicles Symposium","article-title":"A situation and threat assessment algorithm for a rear-end collision avoidance system","author":"Brannstrom","year":"2008"},{"key":"10.1016\/j.aap.2022.106834_b0015","series-title":"17th International Technical Conference on the Enhanced Safety of Vehicles","first-page":"4","article-title":"An algorithm for rear-end collision avoidance warning systems","author":"Burgett","year":"2001"},{"issue":"6","key":"10.1016\/j.aap.2022.106834_b0020","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.2105\/AJPH.2009.165829","article-title":"Using an event-triggered video intervention system to expand the supervised learning of newly licensed adolescent drivers","volume":"100","author":"Carney","year":"2010","journal-title":"Am. J. Public Health"},{"issue":"1","key":"10.1016\/j.aap.2022.106834_b0025","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1080\/13588265.2020.1773740","article-title":"Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases","volume":"27","author":"Char","year":"2022","journal-title":"Int. J. Crashworthiness"},{"issue":"4","key":"10.1016\/j.aap.2022.106834_b0030","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1504\/IJVS.2013.056968","article-title":"Forward collision warning system considering both time-to-collision and safety braking distance","volume":"6","author":"Chen","year":"2013","journal-title":"IJVS"},{"key":"10.1016\/j.aap.2022.106834_b0035","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.aap.2016.11.009","article-title":"Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates","volume":"99","author":"Cicchino","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0040","series-title":"Proceedings of 13th International IEEE Conference on Intelligent Transportation Systems","article-title":"Collision warning with full auto brake and pedestrian detection - a practical example of automatic emergency braking","author":"Coelingh","year":"2010"},{"issue":"3","key":"10.1016\/j.aap.2022.106834_b0045","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1016\/j.aap.2008.01.003","article-title":"Calibration and validation of simulated vehicle safety performance at signalized intersections","volume":"40","author":"Cunto","year":"2008","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0050","doi-asserted-by":"crossref","unstructured":"Dingus, T.A., Klauer, S.G., Neale, V.L., Petersen, A., Lee, S.E., Sudweeks, J., et al., 2006. The 100-Car Naturalistic Driving Study Phase II \u2013 Results of the 100-Car Field Experiment. Publication No. DOT-HS-810-593. U.S. Department of Transportation, National Highway Traffic Safety Administration.","DOI":"10.1037\/e624282011-001"},{"key":"10.1016\/j.aap.2022.106834_b0055","unstructured":"Doecke, S.D., Anderson, R.W.G., Mackenzie, J., Ponte, G., 2012. The Potential of Autonomous Emergency Braking Systems to Mitigate Passenger Vehicle Crashes. Proceedings of Australasian Road Safety Research, Policing and Education Conference."},{"issue":"4","key":"10.1016\/j.aap.2022.106834_b0060","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/0389-4304(94)90216-X","article-title":"Development of a Rear-end Collision Avoidance System with Automatic Brake Control","volume":"15","author":"Doi","year":"1994","journal-title":"Jsae Review"},{"issue":"3","key":"10.1016\/j.aap.2022.106834_b0065","first-page":"4","article-title":"In the passenger seat: investigating ride comfort measures in autonomous cars","volume":"7","author":"Elbanhawi","year":"2015","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"10.1016\/j.aap.2022.106834_b0070","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.aap.2015.03.029","article-title":"Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes","volume":"81","author":"Fildes","year":"2015","journal-title":"Accid. Anal. Prev."},{"issue":"16","key":"10.1016\/j.aap.2022.106834_b0075","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/0389-4304(95)94875-N","article-title":"Radar Brake System","volume":"1","author":"Fujita","year":"1995","journal-title":"Jsae Rev."},{"key":"10.1016\/j.aap.2022.106834_b0080","doi-asserted-by":"crossref","unstructured":"Gassmann. B., Oboril, F., Buerkle, C., Liu, S., Yan, S., Elli, M.S., Alvarez, I., Aerrabotu, N., Jaber, S., Van Beek, P., Iyer, D., Weast, J., 2019.et al. Towards Standardization of AV Safety: C++ Library for Responsibility Sensitive Safety. Proceedings of IEEE Intelligent Vehicles Symposium (IV).","DOI":"10.1109\/IVS.2019.8813885"},{"key":"10.1016\/j.aap.2022.106834_b0085","unstructured":"Gettman, D., Pu, L., Sayed, T., Shelby, S. G., Energy, S., 2008. Surrogate Safety Assessment Model and Validation, Publication No. FHWA-HRT-08-051. Turner-Fairbank Highway Research Center."},{"issue":"1","key":"10.1016\/j.aap.2022.106834_b0090","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1146\/annurev-statistics-030718-105153","article-title":"Statistical methods for naturalistic driving studies","volume":"6","author":"Guo","year":"2019","journal-title":"Annu. Rev. Stat. Appl."},{"issue":"1","key":"10.1016\/j.aap.2022.106834_b0095","doi-asserted-by":"crossref","first-page":"66","DOI":"10.3141\/2147-09","article-title":"Near crashes as crash surrogate for naturalistic driving studies","volume":"2147","author":"Guo","year":"2010","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2022.106834_b0100","series-title":"Description of the SHRP 2 Naturalistic Database and the Crash, Near-Crash, and Baseline Data Sets","author":"Hankey","year":"2016"},{"key":"10.1016\/j.aap.2022.106834_b0105","series-title":"IEEE Proceedings. Intelligent Vehicles Symposium","first-page":"459","article-title":"Situation assessment algorithm for a collision prevention assistant","author":"Hillenbrand","year":"2005"},{"key":"10.1016\/j.aap.2022.106834_b0115","unstructured":"Hogema, J. H., & Janssen, W. H. 1996. Effects of intelligent cruise control on driving behaviour: a simulator study. In Intelligent Transportation: Realizing the Future. Abstracts of the Third World Congress on Intelligent Transport Systems."},{"key":"10.1016\/j.aap.2022.106834_b0110","series-title":"Ergonomics and safety of intelligent driver interfaces","first-page":"203","article-title":"The format and presentation of collision warnings","author":"Hirst","year":"1997"},{"key":"10.1016\/j.aap.2022.106834_b0120","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.aap.2020.105538","article-title":"Simulating Automated Emergency Braking with and without Torricelli Vacuum Emergency Braking for Cyclists: Effect of Brake Deceleration and Sensor Field-of-view on Accidents, Injuries and Fatalities","volume":"142","author":"Jeppsson","year":"2020","journal-title":"Accid. Anal. Prev."},{"issue":"38","key":"10.1016\/j.aap.2022.106834_b0125","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1177\/0361198118773869","article-title":"Extracting useful information from basic safety message data: an empirical study of driving volatility measures and crash frequency at intersections","volume":"2672","author":"Kamrani","year":"2018","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2022.106834_b0130","doi-asserted-by":"crossref","unstructured":"Koopman, P., Osyk, B., 2019. Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety. arXiv:1911.01207.","DOI":"10.1007\/978-3-030-26601-1_17"},{"issue":"3","key":"10.1016\/j.aap.2022.106834_b0135","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s10015-021-00676-0","article-title":"Development of driver braking control model based on ride comfort index","volume":"26","author":"Kosaki","year":"2021","journal-title":"Artificial Life Robotics"},{"issue":"4","key":"10.1016\/j.aap.2022.106834_b0140","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1109\/TITS.2012.2191542","article-title":"Safety benefits of forward collision warning, brake assist, and autonomous braking systems in rear-end collisions","volume":"13","author":"Kusano","year":"2012","journal-title":"Proc. IEEE Trans. Intell. Transport. Syst."},{"issue":"2","key":"10.1016\/j.aap.2022.106834_b0145","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s12239-014-0035-5","article-title":"Development of an autonomous braking system using the predicted stopping distance","volume":"15","author":"Lee","year":"2014","journal-title":"Int. J. Automot. Technol."},{"issue":"10","key":"10.1016\/j.aap.2022.106834_b0150","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1080\/00423110412331282850","article-title":"Evaluation of automotive forward collision warning and collision avoidance algorithms","volume":"43","author":"Lee","year":"2005","journal-title":"Veh. Syst. Dyn."},{"key":"10.1016\/j.aap.2022.106834_b0155","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.1016\/j.aap.2011.02.026","article-title":"Naturalistic Assessment of Novice Teenage Crash Experience","volume":"43","author":"Lee","year":"2011","journal-title":"Accid. Anal. Prev."},{"issue":"5","key":"10.1016\/j.aap.2022.106834_b0160","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1109\/JAS.2018.7511198","article-title":"A situation-aware collision avoidance strategy for car-following","volume":"5","author":"Li","year":"2018","journal-title":"Proc. IEEE\/CAA J. Autom. Sin."},{"key":"10.1016\/j.aap.2022.106834_b0165","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1080\/15389588.2015.1121384","article-title":"Reducing the risk of rear-end collisions with infrastructure-to-vehicle (I2V) integration of variable speed limit control and adaptive cruise control system","volume":"17","author":"Li","year":"2016","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0170","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.aap.2016.09.015","article-title":"Evaluation of the impacts of cooperative adaptive cruise control on reducing rear-end collision risks on freeways","volume":"98","author":"Li","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0175","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.aap.2021.106281","article-title":"Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology","volume":"159","author":"Liu","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0180","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.trc.2021.103037","article-title":"Calibration and evaluation of responsibility-sensitive safety (RSS) in automated vehicle performance during cut-in scenarios","volume":"125","author":"Liu","year":"2021","journal-title":"Transport. Res. Part C: Emerg. Technol."},{"key":"10.1016\/j.aap.2022.106834_b0185","series-title":"Proceedings of 2008 Annual Conference & Exposition","article-title":"An investigation of acceleration and jerk profiles of public transportation vehicles","author":"Martin","year":"2008"},{"key":"10.1016\/j.aap.2022.106834_b0190","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.aap.2020.105794","article-title":"Fuzzy Surrogate Safety Metrics for Real-time Assessment of Rear-end Collision Risk. A Study Based on Empirical Observations","volume":"148","author":"Mattas","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0195","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/S0001-4575(00)00019-1","article-title":"Extended Time-to-collision Measures for Road Traffic Safety Assessment","volume":"33","author":"Minderhoud","year":"2001","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0200","unstructured":"Mobileye, 2010. Mobileye C2-270 Collision Prevention System User Manual."},{"key":"10.1016\/j.aap.2022.106834_b0205","series-title":"Proceedings of 2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems","article-title":"Human-comfortable Navigation for an Autonomous Robotic Wheelchair","author":"Morales","year":"2013"},{"key":"10.1016\/j.aap.2022.106834_b0210","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2018\/6135183","article-title":"Studying the safety impact of autonomous vehicles using simulation-based surrogate safety measures","volume":"2018","author":"Morando","year":"2018","journal-title":"J. Adv. Transport."},{"key":"10.1016\/j.aap.2022.106834_b0215","unstructured":"NHTSA, 2014. Automatic Emergency Braking System (AEB) Research Report. U.S. Department of Transportation. Available: https:\/\/www.automotivesafetycouncil.org\/wp-content\/uploads\/2017\/01\/NHTSA-AEB-Report.pdf."},{"issue":"5","key":"10.1016\/j.aap.2022.106834_b0220","first-page":"3597","article-title":"Design of pedestrian target selection with funnel map for pedestrian AEB system","volume":"66","author":"Park","year":"2017","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"1","key":"10.1016\/j.aap.2022.106834_b0225","doi-asserted-by":"crossref","first-page":"185","DOI":"10.3141\/1856-20","article-title":"Microscopic simulation model calibration and validation: case study of VISSIM simulation model for a coordinated actuated signal system","volume":"1856","author":"Park","year":"2003","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2022.106834_b0230","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.aap.2017.03.005","article-title":"Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data","volume":"103","author":"Perez","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0235","first-page":"1334","article-title":"Development of a Collision Avoidance System","author":"Seiler","year":"1998","journal-title":"SAE Trans."},{"key":"10.1016\/j.aap.2022.106834_b0240","unstructured":"Shalev-Shwartz, S., Shammah, S., Shashua, A., 2017. On a Formal Model of Safe and Scalable Self-Driving Cars. arXiv preprint arXiv:1708.06374."},{"key":"10.1016\/j.aap.2022.106834_b0245","unstructured":"Shalev-Shwartz, S., Shammah, S., Shashua, A., 2018. Vision Zero: Can Roadway Accidents Be Eliminated without Compromising Traffic Throughput? arXiv preprint arXiv: 1901.05022."},{"key":"10.1016\/j.aap.2022.106834_b0250","doi-asserted-by":"crossref","first-page":"145","DOI":"10.3141\/2489-17","article-title":"Cooperative adaptive cruise control: definitions and operating concepts","volume":"2489","author":"Shladover","year":"2015","journal-title":"Transp. Res. Rec."},{"issue":"2","key":"10.1016\/j.aap.2022.106834_b0255","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1103\/PhysRevE.62.1805","article-title":"Congested traffic states in empirical observations and microscopic simulations","volume":"62","author":"Treiber","year":"2000","journal-title":"Phys. Rev. E"},{"key":"10.1016\/j.aap.2022.106834_b0260","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":"Transport. Res. Part C: Emerg. Technol."},{"key":"10.1016\/j.aap.2022.106834_b0265","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.aap.2019.03.009","article-title":"Assessing the relationship between self-reported driving behaviors and driver risk using a naturalistic driving study","volume":"128","author":"Wang","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0270","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.trc.2016.08.014","article-title":"Drivers\u2019 rear end collision avoidance behaviors under different levels of situational urgency","volume":"71","author":"Wang","year":"2016","journal-title":"Transport. Res. Part C:Emerg. Technol."},{"key":"10.1016\/j.aap.2022.106834_b0275","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.aap.2011.09.002","article-title":"Crashes and crash-surrogate events: exploratory modeling with naturalistic driving data","volume":"45","author":"Wu","year":"2012","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2022.106834_b0280","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.jsr.2019.09.001","article-title":"Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes","volume":"71","author":"Xu","year":"2019","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2022.106834_b0285","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.trc.2021.102988","article-title":"Calibration and evaluation of the responsibility-sensitive safety model of autonomous car-following maneuvers using naturalistic driving study data","volume":"123","author":"Xu","year":"2021","journal-title":"Transport. Res. Part C: Emerg. Technol."},{"key":"10.1016\/j.aap.2022.106834_b0295","doi-asserted-by":"crossref","DOI":"10.1155\/2022\/1188089","article-title":"A systematic review of autonomous emergency braking system: impact factor, technology, and performance evaluation","author":"Yang","year":"2022","journal-title":"J. Adv. Transport."},{"key":"10.1016\/j.aap.2022.106834_b0300","series-title":"Proceedings of IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","article-title":"Will autonomous vehicles improve traffic efficiency and safety in urban road bottlenecks? the penetration rate matters","author":"Zhang","year":"2020"},{"key":"10.1016\/j.aap.2022.106834_b0305","unstructured":"Zhao, C., Xing, Y., Li, Z., Li, L., Wang, X., 2019. A Right-of-way Assignment Strategy to Ensure Traffic Safety and Efficiency in Lane Change. arXiv preprint arXiv:1904.06500."},{"issue":"9","key":"10.1016\/j.aap.2022.106834_b0310","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.ifacol.2018.07.013","article-title":"Optimal control of connected and automated vehicles at roundabouts: An investigation in a mixed-traffic environment","volume":"51","author":"Zhao","year":"2018","journal-title":"IFAC-PapersOnLine"},{"key":"10.1016\/j.aap.2022.106834_b0315","article-title":"Calibrating and comparing autonomous braking systems in motorized-to-non-motorized-vehicle conflict scenarios","author":"Zhou","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Accident Analysis &amp; Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000145752200269X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000145752200269X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T23:31:43Z","timestamp":1757547103000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S000145752200269X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":62,"alternative-id":["S000145752200269X"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2022.106834","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Developing an improved automatic preventive braking system based on safety-critical car-following events from naturalistic driving study data","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2022.106834","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"106834"}}