PRACA ORYGINALNA
INFLUENCE OF THE SCENARIO COMPLEXITY AND THE LIGHTING CONDITIONS ON THE DRIVER BEHAVIOUR IN A CAR-FOLLOWING SITUATION
 
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Ukryj
1
Automotive Engineering and Transport, Kielce University of Technology, Polska
AUTOR DO KORESPONDENCJI
Rafał Stanisław Jurecki   

Automotive Engineering and Transport, Kielce University of Technology, al. Tysiaclecia PP 7, 25-413, Kielce, Polska
Data publikacji: 29-03-2019
Data nadesłania: 21-02-2019
Data ostatniej rewizji: 22-03-2019
Data akceptacji: 22-03-2019
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2019;83(1):151–173
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE ARTYKUŁU
The aim of this study was to analyse the driver behaviour in simple and complex car-following situations under day- and night-time lighting conditions (four scenarios). Nearly 70 drivers participated in the tests, each taking several trials, during which they were exposed to randomly selected situations. The tests involved driving along a two-lane motorway with a vehicle in front and responding to its sudden braking. Different distances between the vehicles were simulated. The scenarios varied in complexity ranging from none to some vehicles around the subject vehicle. The study involved measuring different reaction times, i.e. the time to release the accelerator pedal, the time to apply the brake pedal and the time to start steering, to find out how the particular emergency manoeuvres contribute to the occurrence of collisions in the four scenarios. The results show that both the complexity of a road situation as well as the lighting conditions determine the type of emergency manoeuvre undertaken and the time of the driver reaction.
 
REFERENCJE (61)
1.
Alm H., Nilsson L. Effects of mobile telephone use on elderly drivers behaviour including comparisons to young drivers behaviours. Accident Analysis & Prevention, 1995, 27(5), 707–715, DOI: 10.1016/0001-4575(95)00026-V.
 
2.
Baulk S.D., Reyner L.A., Home J.A. Drive Sleepiness – Evaluation of Reaction Time Measurement as a Secondary Task. Sleep, 2001, 24(6), 695-698, DOI: 10.1093/sleep/24.6.695.
 
3.
Bella F. Driving simulator for speed research on two-lane rural roads. Accident Analysis & Prevention, 2008, 40(3),1078–1087, DOI: 10.1016/j.aap.2007.10.015.
 
4.
Benderius O., Markkula G.,·Wolff K., Wahde M. Driver behaviour in unexpected critical events and in repeated exposures – a comparison. Eur. Transp. Res. Rev., 2014, 6(1), 51-60, DOI: 10.1007/s12544-013-0108-y.
 
5.
Brackstone M., McDonald M. Car-following: a historical review. Transportation Research Part F: Psychology and Behaviour, 1999, 2, 181-196, DOI: 10.1016/S1369-8478(00)00005-X.
 
6.
Brackstone M., Sultan B., McDonald M. Motorway driver behaviour: studies on car following. Transportation Research Part F: Traffic Psychology and Behaviour, 2002, 5(1), 31-46, DOI: 10.1016/S1369-8478(02)00004-9.
 
7.
Connor J., Norton R., Ameratunga S., Robinson E., Civil I., Dunn R., Jackson R. Driver sleepiness and risk of serious injury to car occupants: population based case control study. BMJ, 2002, 324(7346), 1125, DOI: 10.1136/bmj.324.7346.1125.
 
8.
Consiglio W, Driscoll P, Witte M,. Berg W. Effect of cellular telephone conversations and other potential interference on reaction time in a braking response, Accident Analysis & Prevention, 2003, 35, 495–500, DOI: 10.1016/S0001-4575(02)00027-1.
 
9.
Davoodi S.R., Hamid H., Pazhouhanfar M., Muttart J. W. Motorcyclist perception response time in stopping sight distance situations. Safety science, 2012, 50(3), 371-377, DOI: 10.1016/j.ssci.2011.09.004.
 
10.
de Winter J.C., Dodou D. Preparing drivers for dangerous situations: A critical reflection on continuous shared control. Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference 9-12 October 2011, 1050-1056. DOI: 10.1109/ICSMC.2011.6083813.
 
11.
Di Stasi L.L., Contreras D., Canas J.J., Candido A., Maldonado A., Catena A. The consequences of unexpected emotional sounds on driving behaviour in risky situations. Safety science, 2010, 48(10), 1463-1468, DOI: 10.1016/j.ssci.2010.07.006.
 
12.
Doherty S.T., Andrey J.C., MacGregor C. The situational risks of young drivers: The influence of passengers, time of day and day of week on accident rates. Accident Analysis & Prevention, 1998, 30(1), 45-52, DOI: 10.1016/S0001-575(97)00060-2.
 
13.
Dutta A., Fisher D.L., Noyce D.A. Use of a Driving Simulator to Evaluate and Optimize Factors Affecting Understandability of Variable Message Signs. Transportation Research F: Traffic Psychology nad Behaviour, 2004, 7(4-5), 209–227, DOI: 10.1016/j.trf.2004.09.001.
 
14.
Erd A., Jaśkiewicz M., Koralewski G., Rutkowski D., Stokłosa J. Experimental research of effectiveness of brakes in passenger cars under selected conditions. 2018 XI International Science-Technical Conference Automotive Safety, 18-20 April 2018 Casta Slovakia, DOI: 10.1109/AUTOSAFE.2018.8373299.
 
15.
Eryilmaz U., Tokmak H.S., Cagiltay K., Isler V., Eryilmaz N.O. A novel classification method for driving simulators based on existing flight simulator classification standards. Transportation Research Part C: Emerging Technologies, 2014, 42: 132-146, DOI: 10.1016/j.trc.2014.02.011.
 
16.
Frittelli C., Borghetti D., Iudice G., Bonanni E., Maestri M., Tognoni G., Iudice A. Effects of Alzheimer's disease and mild cognitive impairment on driving ability: a controlled clinical study by simulated driving test. International Journal of Geriatric Psychiatry: A journal of the psychiatry of late life and allied sciences, 2009, 24(3), 232-238, DOI: 10.1002/gps.2095.
 
17.
Fundowicz P., Sar H. Investigations of pedestrian velocities for reconstruction of traffic accident, 19th International Conference Transport Means, 2015. Proceedings, 444–447.
 
18.
Geistefeldt J., Giuliani S., Vortisch P., Leyn U., Trapp R., Busch F., Rascher A., Celikkaya N. Assessment of level of service on freeways by microscopic traffic simulation. TRB 2014 Annual Meeting, 2014, 1-17, DOI: 10.3141/2461-06.
 
19.
George C.F., Boudreau A.C., Smiley A. Simulated driving performance in patients with obstructive sleep apnea. American journal of respiratory and critical care medicine, 1996, 154(1), 175-181, DOI: 10.1164/ajrccm.154.1.8680676.
 
20.
Gidlewski M., Jemioł L., Żardecki D. Sensitivity investigations of lane change automated process. 23rd International Conference Engineering Mechanics 2017, Svratka Czech Republic, may 5-18, 2017. Book Series: Engineering Mechanics 2017, 330-333.
 
21.
Gidlewski M., Jankowski K., Muszyński A., Żardecki D. Vehicle Lane Change Automation with Active Steering – Theoretical Studies and Numerical Investigations. SAE Paper 2017-01-1555, 2017, DOI: 10.4271/2017-01-1555.
 
22.
Gillberg M., Kecklund G., Åkerstedt T. Sleepiness and performance of professional drivers in a truck simulator—comparisons between day and night driving. Journal of Sleep Research, 1996, 5(1), 12-15, DOI: 10.1046/j.1365-2869.1996.00013.x.
 
23.
Gnap J., Konecny V., Poliak M. Demand elasticity of public transport. Ekonomicky Casopis, 2006, 54(7), 667-684.
 
24.
Green M. "How long does it take to stop?" Methodological analysis of driver perception-brake times. Transportation human factors, 2000, 2(3), 195-216, DOI: 10.1207/STHF0203_1.
 
25.
Hill J.D., Boyle L.N. Driver stress as influenced by driving maneuvers and roadway conditions. Transportation Research Part F: Traffic Psychology and Behaviour, 2007, 10(3), 177-186, DOI: 10.1016/j.trf.2006.09.002.
 
26.
Hindmarch I. Psychomotor function and psychoactive drugs. British Journal of Clinical Pharmacology 2004, 58(7), S720–S740, DOI: 10.1111/j.1365-2125.1980.tb01745.x.
 
27.
Jamson A.H., Merat N. Surrogate in-vehicle information systems and driver behaviour: Effects of visual and cognitive load in simulated rural driving. Transportation Research Part F: Traffic Psychology and Behaviour, 2005, 8(2), 79-96, DOI: 10.1016/j.trf.2005.04.002.
 
28.
Jurecki R.S. An analysis of collision avoidance manoeuvres in emergency traffic situations. The Archives of Automotive Engineering – Archiwum Motoryzacji, 2016, 72(2), 73-93, DOI: 10.14669/AM.VOL72.ART2.
 
29.
Jurecki R., Poliak M., Jaskiewicz M., Young Adult Drivers: Simulated Behaviour in a Car-following Situation, PROMET-Traffic&Transportation, 2017, 29 (4), 381-390, DOI: 10.7307/ptt.v29i4.2305.
 
30.
Jurecki R., Stańczyk T.L., Driver model for the analysis of pre-accident situations. Vehicle System Dynamics, 2009, 47(5), 589-612, DOI: 10.1080/00423110802276028.
 
31.
Karliński J., Ptak M., Działak P. Rusiński E. The approach to mining safety improvement: Accident analysis of an underground machine operator. Archives of Civil and Mechanical Engineering, 2016, 16(3), 503–512. DOI: 10.1016/j.acme.2016.02.010.
 
32.
Kesting A. Treiber M. How Reaction Time, Update Time, and Adaptation Time Influence the Stability of Traffic Flow, Computer-Aided Civil and Infrastructure Engineering, 2008, 23, 125–137, DOI: 10.1111/j.1467-8667.2007.00529.x.
 
33.
Klimkeit E.I., Bradshaw J.L., Charlton J., Stolwyk R., Georgiou-Karistianis N. Driving ability in Parkinson's disease: current status of research. Neuroscience & Biobehavioral Reviews, 2009, 33(3), 223-231, DOI: 10.1016/j.neubiorev.2008.08.005.
 
34.
Kondoh T., Yamamura T., Kitazaki S., Kuge N., Boer E.R. Identification of visual cues and quantification of drivers' perception of proximity risk to the lead vehicle in car-following situations. Journal of Mechanical Systems for Transportation and Logistics, 2008, 1(2), 170-180, DOI: 10.1299/jmtl.1.170.
 
35.
Konstantopoulos P., Chapman P., Crundall D. Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers’ eye movements in day, night and rain driving. Accident Analysis & Prevention, 2010, 42(3), 827-834, DOI: 10.1016/j.aap.2009.09.022.
 
36.
Lee C., Abdel-Aty M. Testing effects of warning messages and variable speed limits on driver behavior using driving simulator. Transportation Research Record, 2008, 2069(1), 55-64, DOI: 10.3141/2069-08.
 
37.
Lee H.C., Cameron D., Lee A.H. Assessing the driving performance of older adult drivers: on-road versus simulated driving. Accident Analysis & Prevention, 2003, 35(5), 797-803, DOI: 10.1016/S0001-4575(02)00083-0 .
 
38.
Lee H.C., Lee A.H., Cameron D., Li-Tsang C. Using a driving simulator to identify older drivers at inflated risk of motor vehicle crashes. Journal of safety research, 2003, 34(4), 453-459, DOI: 10.1016/j.jsr.2003.09.007.
 
39.
Luoma J., Rämä P., Penttine M., Anttila V. Effects of Variable Message Signs for Slippery Road Conditions on Reported Driver Behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 2000, 3(2): 75–84, DOI: 10.1016/S1369-8478(00)00017-6.
 
40.
Markkula G., Benderius O., Wolff K., Wahde M. Effects of experience and electronic stability control on low friction collision avoidance in a truck driving simulator. Accident Analysis & Prevention, 2013, 50, 1266-1277, DOI: 10.1016/j.aap.2012.09.035.
 
41.
McGehee D.V., Mazzae E.N., Baldwin GH S. Driver reaction time in crash avoidance research: Validation of a driving simulator study on a test track. Proceedings of the human factors and ergonomics society annual meeting. SAGE Publications, 2000, 3-320-3-323, DOI: 10.1177/154193120004402026.
 
42.
Milanés V., Shladover S.E., Spring J., Nowakowski C., Kawazoe, H., Nakamura, M. Cooperative Adaptive Cruise Control in Real Traffic Situations. IEEE Trans. Intelligent Transportation Systems, 2014, 15(1), 296-305, DOI: 10.1109/TITS.2013.2278494.
 
43.
Mohebbi R., Gray R., Tan H.Z., Driver Reaction Time to Tactile and Auditory Rear-End Collision Warnings While Talking on a Cell Phone, Human Factors, 2009, 51(1), 102-110. DOI: 10.1177/0018720809333517.
 
44.
Muttart, J. Influence of Age, Secondary Tasks and Other Factors on Drivers' Swerving Responses before Crash or Near-Crash Events, SAE Technical Paper 2015-01-1417, 2015, DOI: 10.4271/2015-01-1417.
 
45.
Ogden E.J.D., Moskowitz H. Effects of Alcohol and Other Drugs on Driver Performance, Traffic Injury Prevention, 2004, 5(3), 185-198, DOI: 10.1080/15389580490465201.
 
46.
Olejnik K., Łopuszyński M., Koszałka G., Grenčík J. Behavior of vehicle drivers while approaching an intersection after the traffic light signal changes from green to yellow. 2018 XI International Science-Technical Conference Automotive Safety, 18-20 April 2018 Casta Slovakia, DOI: 10.1109/AUTOSAFE.2018.8373300.
 
47.
Petzoldt T. On the relationship between pedestrian gap acceptance and time to arrival estimates. Accident Analysis & Prevention, 2014, 72, 127-133. DOI: 10.1016/j.aap.2014.06.019.
 
48.
Philip P., Sagaspe P., Moore N., Taillard J., Charles A., Guilleminault C., Bioulac B. Fatigue, sleep restriction and driving performance. Accident Analysis & Prevention, 2005, 37(3), 473–478, DOI: 10.1016/j.aap.2004.07.007.
 
49.
Poehrs T., Beare D., Zorick F., Roth T. Sleepiness and ethanol effects on simulated driving. Alcoholism: Clinical and Experimental Research, 1994, 18(1), 154-158, DOI: 10.1111/j.1530-0277.1994.tb00896.x.
 
50.
Posuniak P., Jaśkiewicz M., Kowalski K., Dąbrowski F. Child restraint systems: Problems related to the safety of children transported in booster seats (without integral safety belts), 2018 XI International Science-Technical Conference Automotive Safety, 18-20 April 2018 Casta Slovakia, DOI: 10.1109/AUTOSAFE.2018.8373352.
 
51.
Pradhan A.K., Hammel K.R., DeRamus R., Pollatsek A., Noyce D.A., Fisher D.L. Using eye movements to evaluate effects of driver age on risk perception in a driving simulator. Human factors, 2005, 47(4), 840-852, DOI: 10.1518/001872005775570961.
 
52.
Ptak M., Kaczynski P., Fernandes F., de Sousa R.A. Computer Simulations for Head Injuries Verification After Impact, Proceedings of the 13th International Scientific Conference: Computer Aided Engineering, 2017, DOI: 10.1007/978-3-319-50938-9_45.
 
53.
Sagberg F., Bjørnskau T. Hazard perception and driving experience among novice drivers. Accident Analysis & Prevention, 2006, 38(2), 407-414, DOI: 10.1016/j.aap.2005.10.014.
 
54.
Simons-Morton B., Lerner N., Singer J. The observed effects of teenage passengers on the risky driving behavior of teenage drivers. Accident Analysis & Prevention, 2005, 37(6), 973-982, DOI: 10.1016/j.aap.2005.04.014.
 
55.
Spalding T.J.W., Kiss J., Kyberd P., Turner-Smith A., Simpson A.H. Driver reaction time after total knee replacement. The Journal of Bone & Join Surgery, 1994, 8(76-B), 754-756, DOI: 10.1302/0301-620X.76B5.8083265.
 
56.
Strand N., Nilsson, J., Karlsson I. M., Nilsson, L. Semi-automated versus highly automated driving in critical situations caused by automation failures. Transportation research part F: traffic psychology and behaviour, 2014, 27, 218-228, DOI: 10.1016/j.trf.2014.04.005.
 
57.
Strayer D.L., Drew F.A. Profiles in driver distraction: Effects of cell phone conversations on younger and older drivers. Human Factors, 2003, 47(16), 1860-1864, DOI: 10.1177/154193120304701606.
 
58.
Stutts J.C., Wilkins J.W., Osberg J.S., Vaughn B.V. Driver risk factors for sleep-related crashes. Accident Analysis & Prevention, 2003, 35(3), 321-331, DOI: 10.1016/S0001-4575(02)00007-6.
 
59.
Vogel K. A comparison of headway and time to collision as safety indicators, Accident Analysis & Prevention, 2003, 35(3), 427–433, DOI: 10.1016/S0001-4575(02)00022-2.
 
60.
Wach W. Structural reliability of road accidents reconstruction. Forensic Science International, 2013, 228 (1–3), 83–93, DOI: 10.1016/j.forsciint.2013.02.026.
 
61.
Zuska A., Więckowski D. The impact of unbalanced wheels and vehicle speed on driving comfort, 2018 XI International Science-Technical Conference Automotive Safety, 18-20 April 2018 Casta Slovakia, DOI: 10.1109/AUTOSAFE.2018.8373310.
 
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