{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T06:53:53Z","timestamp":1793170433200,"version":"4.5.0"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004541","name":"Ministry of Education, India","doi-asserted-by":"publisher","award":["P2869"],"award-info":[{"award-number":["P2869"]}],"id":[{"id":"10.13039\/501100004541","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004541","name":"Ministry of Education, India","doi-asserted-by":"publisher","award":["P3160"],"award-info":[{"award-number":["P3160"]}],"id":[{"id":"10.13039\/501100004541","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":[[2026,4]]},"DOI":"10.1016\/j.aap.2026.108409","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T23:01:23Z","timestamp":1768604483000},"page":"108409","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["A graph-based spatio-temporal framework for predicting safety-critical pedestrian\u2013vehicle interactions at unsignalized crosswalks"],"prefix":"10.1016","volume":"228","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3504-2086","authenticated-orcid":false,"given":"Kaliprasana","family":"Muduli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1341-0258","authenticated-orcid":false,"given":"Indrajit","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8754-9925","authenticated-orcid":false,"given":"Satish V.","family":"Ukkusuri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2026.108409_b0005","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-22070-9_7","article-title":"Modelling of traffic load by the DataFromSky system in the smart city concept","volume":"135\u2013152","author":"Adamec","year":"2020","journal-title":"Eai\/springer Innov. Commun. Comput."},{"key":"10.1016\/j.aap.2026.108409_b0010","article-title":"Analysis of traffic conflicts and collisions","volume":"667","author":"Allen","year":"1978","journal-title":"Transp. Res. Rec."},{"issue":"1","key":"10.1016\/j.aap.2026.108409_b0015","doi-asserted-by":"crossref","first-page":"35","DOI":"10.15415\/jotitt.2018.61004","article-title":"Pedestrian safety on crosswalks in india - need of the hour","volume":"6","author":"Bansal","year":"2018","journal-title":"J. Today\u2019s Ideas - Tomorrow\u2019s Technol."},{"key":"10.1016\/j.aap.2026.108409_b0020","doi-asserted-by":"crossref","unstructured":"Asaithambi, G., Kanagaraj, V., Toledo, Tomer, 2016. Driving behaviors: models and challenges for non-lane based mixed traffic. Transp. Develop. Econ. 2016 2:2 2 2, 19. doi:10.1007\/S40890-016-0025-6.","DOI":"10.1007\/s40890-016-0025-6"},{"key":"10.1016\/j.aap.2026.108409_b0025","doi-asserted-by":"crossref","unstructured":"Astarita, V., Caliendo, C., Pasquale, V., Russo, I., 2020. Surrogate safety measures from traffic simulation: validation of safety indicators with intersection traffic crash data. Sustainability 2020, 12, Page 6974 12 17, 6974. doi:10.3390\/SU12176974.","DOI":"10.3390\/su12176974"},{"issue":"3","key":"10.1016\/j.aap.2026.108409_b0030","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/S0191-2615(99)00052-1","article-title":"Cellular automata microsimulation for modeling bi-directional pedestrian walkways","volume":"35","author":"Blue","year":"2001","journal-title":"Transp. Res. B Methodol."},{"issue":"6","key":"10.1016\/j.aap.2026.108409_b0035","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0021063","article-title":"Pedestrian injury and human behaviour: observing road-rule violations at high-incident intersections","volume":"6","author":"Cinnamon","year":"2011","journal-title":"PLoS One"},{"key":"10.1016\/j.aap.2026.108409_b0040","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-82109-7_8","article-title":"Experience with traffic conflicts in canada with emphasis on \u201cpost encroachment time\u201d techniques","volume":"75\u201396","author":"Cooper","year":"1984","journal-title":"Int. Calib. Study Traffic Conflict Tech."},{"key":"10.1016\/j.aap.2026.108409_b0045","unstructured":"Deep traffic video analysis - DataFromSky, 2024. URL https:\/\/datafromsky.com\/ (accessed 3.12.24)."},{"key":"10.1016\/j.aap.2026.108409_b0050","doi-asserted-by":"crossref","unstructured":"Dhatbale, R., Bhargava, Chilukuri, R., 2021. Deep learning techniques for vehicle trajectory extraction in mixed traffic. J. Big Data Anal. Transp. 2021 3:2 3 2, 141\u2013157. doi:10.1007\/S42421-021-00042-3.","DOI":"10.1007\/s42421-021-00042-3"},{"issue":"12","key":"10.1016\/j.aap.2026.108409_b0055","article-title":"Analysis of lateral gap between motorized two-wheelers in urban mixed-traffic conditions","volume":"151","author":"Dhiman","year":"2025","journal-title":"J. Transp. Eng. A Syst."},{"issue":"3","key":"10.1016\/j.aap.2026.108409_b0060","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1080\/15389588.2020.1723794","article-title":"Class-imbalanced crash prediction based on real-time traffic and weather data: a driving simulator study","volume":"21","author":"Elassad","year":"2020","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2022.106773","article-title":"Development of a conflict risk evaluation model to assess pedestrian safety in interaction with vehicles","volume":"175","author":"Ezzati Amini","year":"2022","journal-title":"Accid. Anal. Prev."},{"issue":"5","key":"10.1016\/j.aap.2026.108409_b0070","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1037\/h0031619","article-title":"Measuring nominal scale agreement among many raters","volume":"76","author":"Fleiss","year":"1971","journal-title":"Psychol. Bull."},{"key":"10.1016\/j.aap.2026.108409_b0075","doi-asserted-by":"crossref","first-page":"1","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":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0080","doi-asserted-by":"crossref","first-page":"104","DOI":"10.3141\/1840-12","article-title":"Surrogate safety measures from traffic simulation models","volume":"1840","author":"Gettman","year":"2003","journal-title":"Transp. Res. Rec."},{"issue":"11","key":"10.1016\/j.aap.2026.108409_b0085","doi-asserted-by":"crossref","first-page":"11544","DOI":"10.1109\/TITS.2023.3291196","article-title":"Pedestrian trajectory prediction in pedestrian-vehicle mixed environments: a systematic review","volume":"24","author":"Golchoubian","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108409_bib286","doi-asserted-by":"crossref","unstructured":"Han, I.C., Luan, B.C., Hsieh, F.C., 2014. Development of Autonomous Emergency Braking control system based on road friction. IEEE International Conference on Automation Science and Engineering 2014-January, 933\u2013937. doi:10.1109\/COASE.2014.6899438.","DOI":"10.1109\/CoASE.2014.6899438"},{"issue":"2","key":"10.1016\/j.aap.2026.108409_b0090","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.iatssr.2025.04.004","article-title":"Traffic safety evaluation using surrogate safety measures in the context of Indian mixed traffic: a critical review","volume":"49","author":"Hasain","year":"2025","journal-title":"IATSS Res."},{"key":"10.1016\/j.aap.2026.108409_b0095","article-title":"Near-miss determination through use of a scale of danger","volume":"384","author":"Hayward","year":"1972","journal-title":"Highw. Res. Rec."},{"issue":"5","key":"10.1016\/j.aap.2026.108409_b0100","doi-asserted-by":"crossref","first-page":"4282","DOI":"10.1103\/PhysRevE.51.4282","article-title":"Social force model for pedestrian dynamics","volume":"51","author":"Helbing","year":"1995","journal-title":"Phys. Rev. E"},{"key":"10.1016\/j.aap.2026.108409_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.107966","article-title":"A deep transfer learning approach for Real-Time traffic conflict prediction with trajectory data","volume":"214","author":"Hou","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0110","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-82109-7_12","article-title":"The swedish traffic-conflicts technique","volume":"133\u2013139","author":"Hyd\u00e9n","year":"1984","journal-title":"Int. Calibration Study Traffic Conflict Tech."},{"key":"10.1016\/j.aap.2026.108409_b0115","doi-asserted-by":"crossref","unstructured":"Jiang, J., Yan, K., Xia, X., Yang, B., 2025. A survey of deep learning-based pedestrian trajectory prediction: challenges and solutions. sensors 2025, 25, 957 25 3, 957. doi:10.3390\/S25030957.","DOI":"10.3390\/s25030957"},{"key":"10.1016\/j.aap.2026.108409_b0120","doi-asserted-by":"crossref","unstructured":"Kathuria, A., Vedagiri, P., 2020. Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis. Accid Anal Prev 134 August 2019 , 105316. doi: 10.1016\/j.aap.2019.105316.","DOI":"10.1016\/j.aap.2019.105316"},{"issue":"1","key":"10.1016\/j.aap.2026.108409_b0125","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40621-016-0098-z","article-title":"Vision zero: a toolkit for road safety in the modern era","volume":"4","author":"Kim","year":"2017","journal-title":"Inj. Epidemiol."},{"issue":"6","key":"10.1016\/j.aap.2026.108409_bib289","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1016\/j.aap.2010.03.021","article-title":"Evaluation of traffic safety, based on micro-level behavioural data: Theoretical framework and first implementation","volume":"42","author":"Laureshyn","year":"2010","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0130","doi-asserted-by":"crossref","unstructured":"Li, P., Guo, H., Bao, S., Kusari, A., 2022. A probabilistic framework for estimating the risk of pedestrian-vehicle conflicts at intersections.","DOI":"10.1109\/TITS.2023.3296567"},{"issue":"1","key":"10.1016\/j.aap.2026.108409_bib287","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","article-title":"The Measurement of Observer Agreement for Categorical Data","volume":"33","author":"Landis","year":"1977","journal-title":"Biometrics"},{"key":"10.1016\/j.aap.2026.108409_b0135","article-title":"Predicted lane-based time to collision: a novel surrogate safety measure for pedestrian potential risk evaluation at non-signalized intersections","volume":"34","author":"Lin","year":"2025","journal-title":"Transp. Res. Interdiscip. Perspect."},{"key":"10.1016\/j.aap.2026.108409_bib290","unstructured":"Loshchilov, I., Hutter, F., 2017. Decoupled Weight Decay Regularization. 7th International Conference on Learning Representations, ICLR 2019."},{"key":"10.1016\/j.aap.2026.108409_b0140","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1093\/pnasnexus\/pgad163","article-title":"Explaining human interactions on the road by large-scale integration of computational psychological theory","volume":"2","author":"Markkula","year":"2023","journal-title":"PNAS Nexus"},{"key":"10.1016\/j.aap.2026.108409_b0145","article-title":"Integrating safety into the fundamental relations of freeway traffic flows: a conflict-based safety assessment framework","volume":"32","author":"Mohammadian","year":"2021","journal-title":"Anal. Methods Accid. Res"},{"key":"10.1016\/j.aap.2026.108409_b0150","unstructured":"MORTH, 2022. Road accidents in india 2020. Ministry of Road Transport and Highways, New Delhi. Available at: https:\/\/morth.nic.in\/ (accessed 15 January 2025)."},{"key":"10.1016\/j.aap.2026.108409_b0155","doi-asserted-by":"crossref","DOI":"10.1177\/03611981241252835","article-title":"Prediction of vehicular yielding intention while approaching a pedestrian crosswalk","author":"Muduli","year":"2024","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2026.108409_b0160","article-title":"Predicting pedestrian-vehicle interaction severity at unsignalized intersections","author":"Muduli","year":"2024","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0165","doi-asserted-by":"crossref","unstructured":"Mukherjee, D., Mitra, S., 2019. A comparative study of safe and unsafe signalized intersections from the viewpoint of pedestrian behavior and perception. Accid. Anal. Prev. 132 April, 105218. doi: 10.1016\/j.aap.2019.06.010.","DOI":"10.1016\/j.aap.2019.06.010"},{"key":"10.1016\/j.aap.2026.108409_b0170","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.aap.2016.07.030","article-title":"Evaluation of pedestrian safety at intersections: a theoretical framework based on pedestrian-vehicle interaction patterns","volume":"96","author":"Ni","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0175","doi-asserted-by":"crossref","unstructured":"Nie, B., Li, Q., Gan, S., Xing, B., Huang, Y., Li, S.E., 2021. Safety envelope of pedestrians upon motor vehicle conflicts identified via active avoidance behaviour. Sci. Rep. 2021 11:1 11 1, 1\u201310. doi:10.1038\/s41598-021-82331-z.","DOI":"10.1038\/s41598-021-82331-z"},{"issue":"2","key":"10.1016\/j.aap.2026.108409_b0180","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/17457300.2019.1669666","article-title":"Post encroachment time threshold identification for right-turn related crashes at unsignalized intersections on intercity highways under mixed traffic","volume":"27","author":"Paul","year":"2020","journal-title":"Int. J. Inj. Contr. Saf. Promot."},{"key":"10.1016\/j.aap.2026.108409_b0185","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.aap.2014.06.019","article-title":"On the relationship between pedestrian gap acceptance and time to arrival estimates","volume":"72","author":"Petzoldt","year":"2014","journal-title":"Accid. Anal. Prev."},{"issue":"2","key":"10.1016\/j.aap.2026.108409_b0190","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.iatssr.2025.03.001","article-title":"Pedestrian gap acceptance behavior at unsignalized mid-block crossing under mixed traffic conditions","volume":"49","author":"Piyalungka","year":"2025","journal-title":"IATSS Res."},{"key":"10.1016\/j.aap.2026.108409_b0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.107380","article-title":"A review of surrogate safety measures on road safety at unsignalized intersections in developing countries","volume":"195","author":"Ray Sarkar","year":"2024","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0200","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.trf.2025.01.008","article-title":"Comprehensive safety evaluation of powered two-wheeler riding maneuvers in urban mixed traffic with weak-lane-discipline","volume":"109","author":"Samalla","year":"2025","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108409_b0205","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/7496377","article-title":"Development of a residential road collision warning service based on risk assessment","volume":"2023","author":"Selmoune","year":"2023","journal-title":"J. Adv. Transp."},{"key":"10.1016\/j.aap.2026.108409_b0210","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.aap.2014.05.019","article-title":"Integrated traffic conflict model for estimating crash modification factors","volume":"71","author":"Shahdah","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0215","doi-asserted-by":"crossref","unstructured":"Shahi, S., Debnath, A.K., Birrell, S., Horan, B., Payre, W., 2025. Pedestrian profiling based on road crossing decisions in the presence of automated vehicles: the sorting hat for pedestrian behaviours and psychological facets. Appl. Sci. 2025, 15, 10105 15 18, 10105. doi:10.3390\/APP151810105.","DOI":"10.3390\/app151810105"},{"issue":"1","key":"10.1016\/j.aap.2026.108409_b0220","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1177\/03611981221099510","article-title":"Safety margin evaluation of pedestrian crossing through critical thresholds of surrogate measures of safety: area with zebra crossing versus area without zebra crossing","volume":"2677","author":"Sheykhfard","year":"2023","journal-title":"Transp. Res. Rec."},{"issue":"5","key":"10.1016\/j.aap.2026.108409_b0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e27665","article-title":"Conflict-based safety evaluations at unsignalized intersections using surrogate safety measures","volume":"10","author":"Singh","year":"2024","journal-title":"Heliyon"},{"key":"10.1016\/j.aap.2026.108409_b0230","first-page":"383","article-title":"Surrogate measures of safety","volume":"11","author":"Tarko","year":"2018","journal-title":"Transp. Sustainability"},{"key":"10.1016\/j.aap.2026.108409_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2023.120253","article-title":"Class imbalance should not throw you off balance: choosing the right classifiers and performance metrics for brain decoding with imbalanced data","volume":"277","author":"Th\u00f6lke","year":"2023","journal-title":"Neuroimage"},{"key":"10.1016\/j.aap.2026.108409_b0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.107173","article-title":"Deceleration parameters as implicit communication signals for pedestrians\u2019 crossing decisions and estimations of automated vehicle behaviour","volume":"190","author":"Tian","year":"2023","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2025.106860","article-title":"A framework for analyzing driver safety-efficiency trade-offs at uncontrolled crosswalks: towards social vehicle automation","volume":"187","author":"Tian","year":"2025","journal-title":"Saf. Sci."},{"issue":"10","key":"10.1016\/j.aap.2026.108409_b0250","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1080\/00423114.2017.1319964","article-title":"Advanced vehicle dynamics of heavy trucks with the perspective of road safety","volume":"55","author":"Trigell","year":"2017","journal-title":"Veh. Syst. Dyn."},{"key":"10.1016\/j.aap.2026.108409_b0255","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3141\/2393-05","article-title":"Effects of high-visibility enforcement on driver compliance with pedestrian yield right-of-way laws","volume":"2393","author":"Van Houten","year":"2013","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2026.108409_b0260","series-title":"Global status report on road safety 2023","author":"WHO","year":"2023"},{"key":"10.1016\/j.aap.2026.108409_b0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.107962","article-title":"Generation of critical pedestrian scenarios for autonomous vehicle testing","volume":"214","author":"Yang","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0270","doi-asserted-by":"crossref","unstructured":"Zhang, M., Yang, J., Yang, X., Duan, X., 2024. Measuring collision risk in mixed traffic flow under the car-following and lane-changing behavior. Appl. Sci. 2024, 14, 11400 14 23, 11400. doi:10.3390\/APP142311400.","DOI":"10.3390\/app142311400"},{"key":"10.1016\/j.aap.2026.108409_b0275","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1109\/OJITS.2022.3155126","article-title":"Real-time pedestrian conflict prediction model at the signal cycle level using machine learning models","volume":"3","author":"Zhang","year":"2022","journal-title":"IEEE Open J. Intelli. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108409_b0280","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105799","article-title":"Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network","volume":"148","author":"Zhang","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_b0285","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105844","article-title":"Modeling pedestrians\u2019 near-accident events at signalized intersections using gated recurrent unit (GRU)","volume":"148","author":"Zhang","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108409_bib288","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.trf.2020.06.019","article-title":"Modeling the interaction between vehicle yielding and pedestrian crossing behavior at unsignalized midblock crosswalks","volume":"73","author":"Zhao","year":"2020","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."}],"container-title":["Accident Analysis &amp; Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457526000187?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457526000187?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T09:03:15Z","timestamp":1770282195000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457526000187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":62,"alternative-id":["S0001457526000187"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2026.108409","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A graph-based spatio-temporal framework for predicting safety-critical pedestrian\u2013vehicle interactions at unsignalized crosswalks","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2026.108409","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108409"}}