The Impact of Using Modern Information and Communication Equipment and Services on Driving Safety
With the development and application of modern information and communication equipment and services (ICES), global society has undergone significant development and progress in everyday life. Along with the positive, negative aspects of their usage have evolved. One of the problems is the new sources of driver distraction, which ultimately results in a serious, growing daily threat to traffic safety. Simultaneously with the development of ICES, the number of distracters (mobile terminal devices, laptops, smart watches, and others) has increased as well, which also reduces the level of safety and affects the quality of driving. With the increase in participation and ownership of mobile terminal devices, as well as the implementation of modern multimedia information and communication systems in vehicles, this problem will further escalate in the coming years. The unfavorable factor comes from the fact that distraction factors influenced by using ICES belong to bio-mechanical, cognitive, auditory, and visual categories, which directly affects essential human functions for successful and safe vehicle operation. This paper provides insight into the issue of distraction factors that affect drivers with an emphasis on those caused by using modern ICES.
Abdel-Aziz AA, Abdel-Salam H, El-Sayad Z. The role of ICTs in creating the new social public place of the digital era. Alexandria Engineering Journal. 2016; 55(1): 487-493.
Governors Highway Safety Association. Distracted Driving: What Research Shows and What States Can Do. Washington, District of Columbia, USA: Governors Highway Safety Association; 2011.
Klauer SG, Dingus TA, Neale VL, Sudweeks JD, Ramsey DJ. The Impact of Driver Inattention onNear-Crash/CrashRisk: An Analysis Using the 100-Car Naturalistic Driving Study Data. Washington, District of Columbia, USA:; 2006.
National Highway Traffic Safety Administration. Facts and Statistics. Washington, District of Columbia, USA: U.S. Department of Transportation; 2014.
National Highway Traffic Safety Administration. Traffic Safety Facts: Distracted Driving. Washington, District of Columbia, USA: US Department of Transportation; 2014.
Brown ID, Tickner A, Simmonds D. Interference between concurrent tasks of driving and telephoning. Journal of Applied Psychology. 1969; 53(5): 419-424.
Royal D. National Survey of Distracted and Drowsy Driving Attitudes and Behaviors, Volume I: Findings. Washington, District of Columbia, USA: National Highway Traffic Safety Administration; 2003.
Tison J, Chaudhary N, Cosgrove L. National Phone Survey on Distracted Driving Attitudes and Behaviors. Washington, District of Columbia, USA: National Highway Traffic Safety Administration; 2011.
Prat F, Gras ME, Planes M, Font-Mayolas S, Sullman MJM. Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction. Transportation Research Part F: Traffic Psychology and Behaviour. 2017; 45: 194-207.
Klauer SG, Dingus TA, Neale VL, Sudweeks JD, Ramsey DJ. The Impact of Driver Inattention onNear-Crash/CrashRisk: An Analysis Using the 100-Car Naturalistic Driving Study Data. Washington, District of Columbia, USA: National Highway Traffic Safety Administration; 2006.
Cooper JM, Ingebretsen H, Strayer DL. Mental Workload of Common Voice-Based Vehicle Interactions across Six Different Vehicle Systems. Washington, District of Columbia, USA: AAA Foundation for Traffic Safety; 2014.
Maciej J, Vollrath M. Comparison of manual vs. speech-based interaction with in-vehicle information systems. Accident Analysis & Prevention. 2009; 41(5): 924-930.
Purucker C, Naujoks F, Prill A, Neukum A. Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling. Applied Ergonomics. 2017; 58: 543-554.
Mikula M, Kavran Z. The terminal devices in telecommunications traffic (cro. Terminalni uređaji u telekomunikacijskom prometu). Zagreb, Republic of Croatia, EU: University of Zagreb, Faculty of Transport and Traffic Sciences; 2000.
Nelson SB, Jarrahi MH, Thomson L. Mobility of knowledge work and affordances of digital technologies. International Journal of Information Management. 2017; 37(2): 54-62.
Cisco Systems. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2014-2019. San Jose, California, USA: Cisco Systems Inc.; 2015.
Ericsson. Ericsson Mobility Report: On the Pulse of the Networked Society. Stockholm, Sweden, EU: Ericsson Inc.; June, 2016.
Internet Society. Global Internet Report 2014: Open and Sustainable Access for All. Geneva, Switzerland: Internet Society Inc.; 2014.
Ericsson. Ericsson Mobility Report: On the Pulse of the Networked Society. Stockholm, Sweden, EU: Ericsson Inc.; November, 2015.
Morris A, Welsh R, May A, Koskinen S, Fowkes M, Ross T. TeleFOT: field operational tests of aftermarket and nomadic devices in vehicles. D 4.2.3, Overview of results from WP4.3 to WP4.7 on a half yearly basis (M32). Public. Loughborough, United Kingdom, EU: TeleFOT; 2011. Report No.: D 4.2.3.
Caird JK, Dewar RE. Driver distraction. In Dewar RE, Olson PL. Human Factors in Traffic Safety. 2nd ed. Tucson, Arizona, USA: Lawyers & Judges Publishing; 2007. 195-229.
Regan MA, Hallett C, Gordon CP. Driver distraction and driver inattention: Definition, relationship and taxonomy. Accident Analysis and Prevention. 2011; 43(5): 1771-1781.
Engström J, Monk CA, Hanowski RJ, Horrey WJ, Lee JD, McGehee DV, et al. A conceptual framework and taxonomy for understanding and categorizing driver inattention. US-EU Driver Distraction and HMI Working Group; 2013.
Lee JD, Regan MA, Young KL. Defining driver distraction. In Young KL, Lee JD, Regan MA. Driver Distraction: Theory, Effects, and Mitigation. Boca Raton, Florida, USA: CRC Press; 2008. 31-40.
Stutts JC, Reinfurt WD, Staplin L, Rodgman EA. The role of driver distraction in traffic crashes. Washington, District of Columbia, USA: AAA Foundation for Traffic Safety; 2001.
Beratis IN, Pavlou D, Papadimitriou E, Andronas N, Kontaxopoulou D, Fragkiadaki S, et al. Mild Cognitive Impairment and driving: Does in-vehicle distraction affect driving performance? Accident Analysis & Prevention. 2017; 103: 148-155.
Young K, Regan M. Driver distraction: A review of the literature. In Distracted driving. Sydney, New South Wales, Australia: Australasian College of Road Safety; 2007. 379-405.
Young MS, Mahfoud JM, Stanton NA, Salmon PM, Jenkins DP, Walker GH. Conflicts of interest: The implications of roadside advertising for driver attention. Transportation Research Part F: Traffic Psychology and Behaviour. 2009; 12(5): 381-388.
Stelling A, Hagenzieker M. Distraction in traffic / A review of the literature (net. Afleiding in het verkeer/ Een overzicht van de literatuur). Leidschendam, Netherlands, EU: SWOV Institute for Road Safety Research; 2012.
Meesmann U, Boets S, Tant M. MP3 players and traffic safety; "State of the art". Brussels, Belgium, EU: Belgian Road Safety Institute; 2009.
Burns PC, Parkes A, Burton S, Smith RK, Burch D. How dangerous is driving with a mobile phone? Benchmarking the impairment to alcohol. Wokingham, United Kingdom, EU: Transport Research Laboratory; 2002.
Crisler MC, Brooks JO, Ogle JH, Guirl CD, Alluri P, Dixon KK. Effect of Wireless Communication and Entertainment Devices on Simulated Driving Performance. Transportation Research Record: Journal of the Transportation Research Board. 2008; 2069(1): 48-54.
Hosking SG, Young KL, Regan MA. The Effects of Text Messaging on Young Novice Driver Performance. Melbourne, Victoria, Australia: Monash University, Accident Recearch Centre; 2006.
Basacik D, Reed N, Robbins R. Smartphone use while driving: a simulator study. Wokingham, United Kingdom, EU: Transport Research Laboratory; 2012.
Caird JK, Johnston KA, Willness CR, Asbridge M, Steel P. A meta-analysis of the effects of texting on driving. Accident Analysis & Prevention. 2014; 71: 311-318.
He J, Chaparro A, Nguyen B, Burge RJ, Crandall J, Chaparro B, et al. Texting while driving: Is speech-based text entry less risky than handheld text entry? Accident Analysis & Prevention. 2014; 72: 287–295.
Owens JM, McLaughlin SB, Sudweeks J. Driver performance while text messaging using handheld and in-vehicle systems. Accident Analysis & Prevention. 2011; 43(3): 939-947.
Simmonsa SM, Caird JK, Steel P. A meta-analysis of in-vehicle and nomadic voice-recognition system interaction and driving performance. Accident Analysis & Prevention. 2017; 106: 31-43.
Harms L, Patten C. Peripheral detection as a measure of driver distraction. A study of memory-based versus system-based navigation in a built-up area. Transportation Research Part F: Traffic Psychology and Behaviour. 2003; 6(1): 23-36.
Metz B, Schoch S, Just M, Kuhn F. How do drivers interact with navigation systems in real life conditions?: Results of a field-operational-test on navigation systems. Transportation Research Part F: Traffic Psychology and Behaviour. 2014; 24: 146-157.
Kovac M, Leskova A. Innovative applications of cars connectivity network – way to intelligent vehicle. Journal of Systems Integration. 2012; 3(4): 51-60.
Brodsky W. The effects of music tempo on simulated driving performance and vehicular control. Transportation Research Part F: Traffic Psychology and Behaviour. 2002; 4(4): 219-241.
Pêcher C, Lemercier C, Cellier JM. Emotions drive attention: Effects on driver’s behaviour. Safety Science. 2009; 47(9): 1254-1259.
Oron-Gilad T, Ronen A, Shinar D. Alertness maintaining tasks (AMTs) while driving. Accident Analysis and Prevention. 2008; 40(3): 851-860.
Van der Zwaag MD. Music directs your mood. In Doctoral Thesis. Eindhoven, Netherlands, EU: University of Groningen; 2012. 177.
Horberry T, Anderson J, Regan MA, Triggs TJ, Brown J. Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. Accident Analysis and Prevention. 2006; 38(1): 185-191.
Obradović V, Magušić R. The occurrence of distraction by using cell phone while driving (cro. Distrakcije do kojih dovodi korištenje mobitela tijekom vožnje). In Proceedings of 22nd Ramiro and Zoran Bujas Days Conference; 2015; Zagreb, Republic of Croatia, EU.
Republic of Croatia. Law on Road Traffic Safety (cro. Zakon o sigurnosti prometa na cestama, br.67/08). Zagreb, Republic of Croatia, EU: Narodne novine; 2008.
Yannis G. Distracted Driving. In European Transport Safety Lecture; 2011; Athens, Greece, EU.
Ministriy of Internal Affairs. Bulletin about road safety (cro. Bilten o sigurnosti cestovnog prometa). Zagreb, Republic of Croatia, EU: Ministriy of Internal Affairs of Republic of Croatia, Department of Strategic Planning, Analysis and Development; 2016.
Ministry of Internal Affairs. Statistical overview of the basic security indicators and performance in 2014 (cro. Statistički pregled temeljnih sigurnosnih pokazatelja i rezultata rada u 2014. godini). Zagreb, Republic of Croatia, EU: Ministry of Internal Affairs of Republic of Croatia, Department of Strategic Planning, Analysis and Development; 2015.
Croatian Government. National Program of Road Safety of Croatia 2011. to 2020. (cro. Nacionalni program sigurnosti cestovnog prometa Republike Hrvatske 2011. - 2020. godine). Zagreb, Republic of Croatia, EU: Republic of Croatia; 2011.
Papadakaki M, Tzamalouka G, Gnardelis C, Lajunen TJ, Chliaoutakis J. Driving performance while using a mobile phone: A simulation study of Greek professional drivers. Transportation Research Part F: Traffic Psychology and Behaviour. 2016; 38: 164-170.
Darçın M, Alkan M. Safety Risk of Mobile Phone Use while Driving in Sample of Taxi Drivers. Promet - Traffic & Transportation. 2015; 27(4): 309-315.
Oviedo-Trespalacios O, Haque MM, King M, Washington S. Understanding the impacts of mobile phone distraction on driving performance: A systematic review. Transportation Research Part C. 2016; 72: 360-380.
Pope CN, Bell TR, Stavrinos D. Mechanisms behind distracted driving behavior: The role of age and executive function in the engagement of distracted driving. Accident Analysis and Prevention. 2017; 98: 123-129.
Rao VR. Applied Conjoint Analysis. Berlin, Germany, EU: Springer; 2014.
Copyright (c) 2018 Ivan Jovović, Dragan Peraković, Siniša Husnjak
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).