Abstract
Foreign object encroachment is the presence of persons or items in the contact network and railroad track area, which can result in accidents, electrical failures, and train damage on the railroad. By keeping an eye on the lookout, seeing the intrusion of a foreign object, and braking quickly, train drivers can lessen the risks brought on by foreign object invasion. The question of how to maintain and monitor the continuous attention level of train drivers has been a hot issue, because of the monotonous environment of railroad operating makes the alertness decline during threat perception. Based on the theory of situational awareness, this study posits that training drivers in foreign object encroachment experience schemas can enhance their sustained attention levels, leading to improved hazard perception sensitivity. The hypothesis is subsequently verified in different route types and road types. We utilized a set of 24 videos depicting railroad traffic scenarios, generated by a driving simulator, to examine the sustained attention levels and hazard perception capabilities of train drivers. The participants in our study were divided into two groups: one group consisted of train drivers with recent experience of foreign object intrusion (n = 37), and the other group comprised train drivers without such recent experience (n = 35). The study's findings suggest that schemas have an impact on hazard sensitivity by influencing the extent of sustained attention. This effect is further moderated by the pseudoneglect effect and prioritization of task goals. The results provide confirmation that the situational awareness theory holds valuable insights for enhancing the training of train drivers in hazard perception and sustaining attention. And it also addresses a previously existing gap in the literature regarding the factors affecting train drivers' hazard perception. These findings can be instrumental in shaping training programs aimed at safety awareness, as well as the design and implementation of alertness monitoring systems for train drivers.
Similar content being viewed by others
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Announcement on investigation and handling of railway traffic accidents (ANHRTA), 2021. https://www.163.com/dy/article/GGA692S70534B4I0.html. (2023.09.18 look to).
Asadamraji M, Saffarzadeh M, Ross V, Borujerdian A, Ferdosi T, Sheikholeslami S (2019) A novel driver hazard perception sensitivity model based on drivers’ characteristics: a simulator study. Traffic Inj Prev 20:492–497. https://doi.org/10.1080/15389588.2019.1607971
Asadamraji M, Ross V, Yarahmadi A (2022) A novel hazard avoidance model based on young drivers’ characteristics: a driving simulator study. Appl Neuropsychol Adult. https://doi.org/10.1080/23279095.2022.2112959
Bardon C, Dargis L, Mishara B (2021) Evaluation of the implementation of a railway critical incident management and support protocol to help train drivers cope with accidents and suicides. J Occup Environ Med 63(8):e495–e504. https://doi.org/10.1097/JOM.0000000000002262
Baumann M R, Krems J F (2009) A comprehension based cognitive model of situation awareness. In: International Conference of Digital Human Modeling, pp 192–201
Beiyuan G, Weining F, Mingsen D (2005) Test and analysis of locomotive driver’s visual behavior. Sci Technol Eng 5(9):620–623. https://doi.org/10.1007/978-3-642-02809-0_21
Borowsky A, Palacci N, Itzhaki M, Shinar D (2019) The assessment of hazard awareness skills among light rail drivers. Transport Res f: Traffic Psychol Behav 67:15–28. https://doi.org/10.1016/j.trf.2019.10.003
Brandenburger N, Naumann A (2019) On track: a series of research about the effects of increasing railway automation on the train driver. IFAC-PapersOnLine 52(19):288–293. https://doi.org/10.1016/j.ifacol.2019.12.115. (14th IFAC Symposium on Analysis, Design, and Evaluation of Human Machine Systems.)
Bowers D, Heilman KM (1980) Pseudoneglect: effects of hemispace on a tactile line bisection task. Neuropsychologia 18(4–5):491–498. https://doi.org/10.1016/0028-3932(80)90151-7
Cause of train derailment accident (2022) https://news.sina.com.cn/o/2022-06-10/doc-imizmscu6080022.shtml. (2023.09.18 look to).
Chan E, Pradhan AK, Pollatsek A, Knodler MA, Fisher DL (2010) Are driving simulators effective tools for evaluating novice drivers’ hazard anticipation, speed management, and attention maintenance skills. Transport Res F: Traffic Psychol Behav 13(5):343–353. https://doi.org/10.1016/j.trf.2010.04.001
Chen Y, Hsueh K, Lai YC (2021) Identification of high-risk driving behavior and sections for rail systems. Transp Res Rec 2675:1379–1392. https://doi.org/10.1177/03611981211033856
Chou W S, Chuang P C (2013) Design of drivers’ hazard perception context test. In: Proceedings of the Eastern Asia Society for Transportation Studies (9), pp 405. Available at: http://www.easts.info/on-line/proceedings/vol9/index.html
Casson RW (1983) Schema in cognitive anthropology. Annu Rev Anthropol 12:429–462. https://doi.org/10.1146/ANNUREV.AN.12.100183.002241
Crundall DE, Chapman P, Phelps N, Underwood G (2003) Eye movements and hazard perception in police pursuit and emergency response driving. J Exp Psychol Appl 9(3):163–174. https://doi.org/10.1037/1076-898X.9.3.163
Crundall DE, Underwood G (1998) Effects of experience and processing demands on visual information acquisition in drivers. Ergonomics 41(4):448–458. https://doi.org/10.1080/001401398186937
Crundall D, Clarke D D, Ward P, Bartle C (2008) Car drivers' skills and attitudes to motorcycle safety: a review. In: Road Safety Research Report No. 85. Department for Transport, London
Ding X, Cai X, Zhang Z, Liu W, Song W (2022) Railway foreign object intrusion detection based on deep learning. In: 2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI), pp 735–739. https://doi.org/10.1109/ICCEAI55464.2022.00155
Du X, Ma J, Chang R (2020) The interactive effect of vehicle signals and sensation-seeking on driver hazard perception. Transport Res f: Traffic Psychol Behav 73:174–187. https://doi.org/10.1016/j.trf.2020.06.018
Edkins GD, Pollock C (1997) The influence of sustained attention on railway accidents. Accid Anal Prev 29(4):533–539. https://doi.org/10.1016/S0001-4575(97)00033-X
Endsley MR (1995) Towards a theory of situation awareness in dynamic systems. Hum Fact 37(1):32–64. https://doi.org/10.1518/001872095779049543
Endsley MR (1988) Design and evaluation for situation awareness enhancement. In: Proceedings of the Human Factors Society 32nd Annual Meeting, pp 97–101. Human Factors and Ergonomics Society, Santa Monica. https://doi.org/10.1177/154193128803200221
Ericsson KA, Kintsch W (1995) Long-term working memory. Psychol Rev 102(2):211–245. https://doi.org/10.1037/0033-295X.102.2.211
Evans T, Stuckey R, Macdonald W (2022) Young drivers’ perception of hazards: variation with experience and day versus night. Transport Res f: Traffic Psychol Behav 88:258–280. https://doi.org/10.1016/j.trf.2022.05.017
Fan C, Huang S, Lin S, Xu D, Peng Y, Yi S (2022) Types, risk factors, consequences, and detection methods of train driver fatigue and distraction. Comput Intell Neurosci. https://doi.org/10.1155/2022/8328077
Grayson GB, Sexton B F (2002) The development of hazard perception testing. TRL Report 2002, pp 558. Available at https://trid.trb.org/view/731829. (Accessed on 26 May 2023)
Giammarco M, Plater L, Hryciw J, Al-Aidroos N (2020) Getting it right from the start: attentional control settings without a history of target selection. Atten Percept Psychophys 83:133–141. https://doi.org/10.3758/s13414-020-02193-x
Guida A, Tardieu H, Bohec OL, Nicolas S (2013) Are schemas sufficient to interpret the personalization effect? Only if long-term working memory backs up. Eur Rev Appl Psychol Revue Europeenne De Psychologie Appliquee 63:99–107. https://doi.org/10.1016/J.ERAP.2012.09.006
Guo M, Hu L, Ye L (2019) Cognition and driving safety: How does the high-speed railway drivers’ cognitive ability affect safety performance? Transport Res f: Traffic Psychol Behav 65:10–22. https://doi.org/10.1016/j.trf.2019.07.006
Guo Z, Chen Z, Zhang J, Guo Q, He C, Zhao Y (2022) Characteristics of train–pedestrian collisions in southwest China, 2011–2020. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph19106104
Hani Tabai B, Bagheri M, Sadeghi-Firoozabadi V, Shahidi V, Mirasadi H (2018) Impact of train drivers’ cognitive responses on rail accidents. Transp Res Rec 2672:260–268. https://doi.org/10.1177/0361198118796359
Hayes AF (2013) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Guilford Press, New York City
Hayley AC, Shiferaw B, Aitken B, Vinckenbosch F, Brown TL, Downey LA (2021) Driver monitoring systems (DMS): the future of impaired driving management? Traffic Inj Prev 22(4):313–317. https://doi.org/10.1080/15389588.2021.1899164
Hinsley D, Hayes JR, Simon HA (1977) From words to equations. In: Carpenter P, Just M (eds) Cognitive processes in comprehension. Erlbaum, Hillsdale
Horrey WJ, Wickens CD, Consalus KP (2006) Modeling drivers’ visual attention allocation while interacting with in-vehicle technologies. J Exp Psychol Appl 12(2):67–78. https://doi.org/10.1037/1076-898X.12.2.67
Horswill MS (2016) Hazard perception in driving. Curr Direct Psychol Sci 25(6):425–430. https://doi.org/10.1177/0963721416663186
Horswill M S, McKenna F P (2004) Drivers’ hazard perception ability: Situation awareness on the road. In: Banbury S, Tremblay S (eds) A Cognitive approach to situation awareness: theory and application, pp 155–175
Lemos IC, Patrão I (2018) Train accidents: is there post-traumatic stress disorder in train drivers? Psychol Commun Health 7(1):44–56. https://doi.org/10.5964/pch.v7i1.184
Levine JM, Romashko T, Fleishman EA (1973) Evaluation of an abilities classification system for integrating and generalizing human performance research findings: an application to vigilance tasks. J Appl Psychol 58:149–157. https://doi.org/10.1037/H0035503
Li Y, Wu D, Lee J, Yang M, Shi Y (2020) Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data. Accid Anal Prev 144:105676. https://doi.org/10.1016/j.aap.2020.105676
Luke T, Brook-Carter N, Parkes AM, Grimes E, Mills A (2006) An investigation of train driver visual strategies. Cogn Technol Work 8:15–29. https://doi.org/10.1007/s10111-005-0015-7
Manley H, Paisarnsrisomsuk N, Hill A, Horswill MS (2019) The development and validation of a hazard perception test for Thai drivers. Transp Res Part F: Traffic Psychol Behav 71:229–237. https://doi.org/10.1016/j.trf.2020.04.011
Nuthmann A, Clark CN (2023) Pseudoneglect during object search in naturalistic scenes. Exp Brain Res 241:2345–2360. https://doi.org/10.1007/s00221-023-06679-6
Olsson N, Lidestam B, Thorslund B (2021) The practical part of train driver education: experience, expectations, and possibilities. Eur Transp Res Rev 13:1–11. https://doi.org/10.1186/s12544-021-00506-1
Pammer K, Raineri A, Beanland V, Bell J, Borzycki M (2018) Expert drivers are better than non-expert drivers at rejecting unimportant information in static driving scenes. Transport Res f: Traffic Psychol Behav 59:389–400. https://doi.org/10.1016/j.trf.2018.09.020
Railway safety bulletin (2019) Announcement of Railway Safety Situation 2019 National Railway Administration (nra.gov.cn), China (2023.05.08 look to)
Reason J (1992) Human error. Cambridge University Press, Cambridge
Sarter M, Givens B, Bruno JP (2001) The cognitive neuroscience of sustained attention: where top–down meets bottom-up. Brain Res Rev 35:146–160. https://doi.org/10.1016/S0165-0173(01)00044-3
Scialfa CT, Deschênes MC, Ference J, Boone J, Horswill MS, Wetton M (2011) A hazard perception test for novice drivers. Accid Anal Prev 43(1):204–208. https://doi.org/10.1016/j.aap.2010.08.010
Sharpe BT, Smith MS, Williams SC, Talbot J, Runswick OR, Smith J (2023) An expert-novice comparison of lifeguard specific vigilance performance. J Safety Res. https://doi.org/10.1016/j.jsr.2023.08.014
Sun C, Zhang G, Zhai X (2019) Research on specific eye movement mode of qualified railway driver. J Phys: Conf Ser 1187:052083. https://doi.org/10.1088/1742-6596/1187/5/052083
Suzuki D, Yamauchi K, Matsuura S (2019) Effective visual behavior of railway drivers for recognition of extraordinary events. Quarterly Report of RTRI 60(4):286–291. https://doi.org/10.2219/rtriqr.60.4_286
Underwood G, Chapman P, Berger Z, Crundall D (2003) Driving experience, attentional focusing, and the recall of recently inspected events. Transport Res f: Traffic Psychol Behav 6:289–304. https://doi.org/10.1016/j.trf.2003.09.002
Vanderhaegen F, Wolff M, Mollard R (2023) Repeatable effects of synchronizing perceptual tasks with heartbeat on perception-driven situation awareness. Cogn Syst Res 81:80–92. https://doi.org/10.1016/j.cogsys.2023.05.005
Wegrzyn P, Kepski M, Grabska-Gradzinska I (2022) Eye tracking measurement of train drivers' attention based on quasi-static areas of interest. In: International Work-Conference on the Interplay Between Natural and Artificial Computation, pp 3–12. https://doi.org/10.1007/978-3-031-06527-9_1
Wetton MA, Hill A, Horswill MS (2011) The development and validation of a hazard perception test for use in driver licensing. Accid Anal Prev 43(5):1759–1770. https://doi.org/10.1016/j.aap.2011.04.007
WickensC, (2015) Noticing Events in the Visual Workplace: The SEEV and NSEEV Models. In: Hoffman R, Hancock P, Scerbo M, Parasuraman R, Szalma J (eds) The Cambridge Handbook of Applied Perception Research (Cambridge Handbooks in Psychology, pp 749–768). Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511973017.046
Zhao X, Lynch JG, Chen Q (2010) Reconsidering baron and kenny: Myths and truths about mediation analysis. J Consum Res 37:197–206. https://doi.org/10.1086/651257
Zheng X, Yang Y, Easa SM, Lin W, Cherchi E (2020) The effect of leftward bias on visual attention for driving tasks. Transp Res F: Traffic Psychol Behav 70:199–207. https://doi.org/10.1016/j.trf.2020.02.016
Funding
This work was supported by the National Natural Science Foundation of China (Grant number 52072320), the Key Project of China Shuohuang Railway (Grant number GJNY-22–84), and Science and Technology Program of Sichuan Province with 2022YFG0087).
Author information
Authors and Affiliations
Contributions
Jinfei Ma wrote the paper, designed the experiment and selected the topic, Yusong Wang wrote the paper and analyzed the data, Maunsheng Xia designed and processed the experimental materials, Zizheng Guo selected the topic and designed the experiment, and Zhe Li, Jun Zhang and Jun Zhang all participated in the data collection
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Ma, J., Wang, Y., Xia, M. et al. The influence of train driver's foreign body penetration experience on hazard perception sensitivity: the mediating role of sustained attention. Cogn Tech Work 26, 153–168 (2024). https://doi.org/10.1007/s10111-023-00744-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10111-023-00744-4