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RESEARCH PAPER
Examination of the vehicle light intensity in terms of road traffic safety: a case study
 
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University of Zilina, Department of Urban and Road Transport, Faculty of Operation and Economics of Transport and Communications
 
2
Univeristy of Zagreb, Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences
 
 
Publication date: 2018-09-28
 
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2018;81(3):137-146
 
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ABSTRACT
Road transport is an essential part of modern life. It brings with itself, besides the desired effects, negative aspects as well. Negative aspect is not only the emissions production but also the traffic accidents occurrence even with tragic consequences. In proportion to traffic intensity, accidents during decreased visibility represent a significant share. A driver has a limited source of information at this time, since only vehicle headlights illuminate the runway and its surroundings. However, these do not only illuminate the roadway ahead of the vehicle, but part of the emitted light also falls into the drivers’ eyes of vehicles in the opposite direction. Thus, the eyes of such glared drivers worse recognize details, or lose the ability to see at all, i.e. vision ability. The level of vision loss depends on the light intensity that falls into the drivers’ eyes in the opposite direction. This light intensity is related not only to the correct headlights alignment (setting) but also to their design. In this paper, three generations of headlights in terms of the light intensity falling into the driver’s eyes of the vehicle in the opposite direction are compared. The headlights alignment of the examined vehicles was checked prior to measurements in accordance with the manufacturer's requirements. Given the fact that intensity of the emitted light is also related to the age of the used source, they have been replaced by the new ones. For the reason of objectivity, examination was performed at night at the New Moon phase, thus it did not light up. The starlight also did not affect the measurement results because it was cloudy, but it did not rain. There were no artificial sources of light near the measuring point..
REFERENCES (30)
1.
Borzendowski S.A.W, Rosenberg R.L, Sewall A.S, Tyrrell R.A. Pedestrians' estimates of their own nighttime conspicuity are unaffected by severe reductions in headlight illumination. JOURNAL OF SAFETY RESEARCH. 2013( 47): 25-30.
 
2.
Brieger F, Hagen R, Vetter D, Dormann C.F, Storch I. Effectiveness of light-reflecting devices: A systematic reanalysis of animal-vehicle collision data. ACCIDENT ANALYSIS AND PREVENTION. 2016(97): 242-260. DOI: 10.1016/j.aap.2016.08.030.
 
3.
Cavallo V, Ranchet M, Pinto M, Espie S, Vienne F, Dang N.T. Improving car drivers' perception of motorcycle motion through innovative headlight configurations. Accident Analysis and Prevention. 2015(81): 187-193. DOI: 10.1016/j.aap.2015.04.034.
 
4.
Chenani SB, Maksemainen M, Tetri E, Kosonen I, Lutinen T. The effects of dimmable road lighting: A comparison of measured and perceived visibility. Transportation research part f – traffic psychology and behavior. 2016(43): 141 – 156.
 
5.
Chovancova M, Klapita V. Draft Model for Optimization of the Intermodal Transport Chains by Applying the Network Analysis. In: 20th International Scientific Conference on Transport Means, Juodkrante, Lithuania. 2016: 112-116. ISSN 1822-296X.
 
6.
Devassy A, Gopinath N, Narayanan V, Ramachandran A. Coordinated, Progressive Vehicular Headlight Glare Reduction for Driver Safety using Wireless Sensor Networks. INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), Book Series: International Conference on Connected Vehicles and Expo, 204: 14-15, DOI:10.1016/j.jsr.2013.08.007.
 
7.
Gogola M. The analysis of traffic impact on urban environment in city of Zilina. Logi – Scientific Journal on Transport and Logistics. 2010; 1(1): 44-52. ISSN 1804-3216.
 
8.
Guo JM, Hsia, C.H, Wong K, Wu J.Y. Wu, Y.T. Wang, N.J. Nighttime Vehicle Lamp Detection and Tracking With Adaptive Mask Training. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. 2016; 65(6): 4023-4032. DOI:10.1109/TVT.2015.2508020.
 
9.
Hirakawa S, Karasawa Y, Funaki T., 2015, Visibility Evaluation of Expressway-Tunnel Lighting in Consideration of Vehicle Headlights. ELECTRICAL ENGINEERING IN JAPAN, Vol. 193, Issue 2, pp. 1-9. DOI:10.1002/eej.22738.
 
10.
Hwang, A.D., Peli, E., 2013, Development of a headlight glare simulator for a driving simulator. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, Vol. 32, pp. 129-143. DOI: 10.1016/j.trc.2012.09.003.
 
11.
Jaskiewicz M, Lisiecki J, Lisiecki S. Facility for performance testing of power transmission units. Scientific Journals Of The Maritime University Of Szczecin-Zeszyty Naukowe Akademii Morskiej W Szczecinie. 2015; 42(114): 14-25.
 
12.
Juric D, Loncaric S. A Unified Approach for On-Road Visual Night-Time Vehicle Light Detection. In: 10th International Symposium on Visual Computing (ISVC), PT 1, Book Series: Lecture Notes in Computer Science. 2014; 8887, Las Vegas, NV, USA, pp. 730-739. ISSN 0302-9743.
 
13.
Kim S.G, Kim J.E, Yi K, Jung K.H. Detection and Tracking of Overtaking Vehicle in Blind Spot Area at Night Time. In: IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE). 2017, Book Series: International Conference on Consumer Electronics, Las Vegas, NV, USA, ISBN 978-1-5090-5544-9.
 
14.
Konečný V, Petro F, Berežný R, Mikušková M. Research on Selected Positive Externalities in Road Transport. LOGI – Scientific Journal on Transport and Logistics, 2017; 8(1): 64-73. DOI:10.1515/logi-2017-0008.
 
15.
Lizbetinova L, Kampf R, Lizbetin J. Requirements of a transport system user. Communications: scientific letters of the University of Žilina. 2016; 14(4): 106-108. ISSN 1335-4205.
 
16.
Reagan I.J, Brumbelow M.L. Drivers' detection of roadside targets when driving vehicles with three headlight systems during high beam activation. ACCIDENT ANALYSIS AND PREVENTION. 2017; 99: 44-50. DOI: 10.1016/j.aap.2016.09.021.
 
17.
Rosey F, Aillerie I, Espie S, Vienne F. Driver behaviour in fog is not only a question of degraded visibility - A simulator study. SAFETY SCIENCE. 2017; 95: 50-61. DOI:10.1016/j.ssci.2017.02.004.
 
18.
Rožić T, Fiolić M, Bačura M. The logistics concept of optimized retro-reflection dynamic test of road markings on the roads in the Republic of Croatia. Logi – Scientific Journal on Transport and Logistics. 2012; 3(2): 128-135. ISSN 1804-3216.
 
19.
Sewall A.A.S, Borzendowski S.A.W, Tyrrell R.A. The accuracy of drivers' judgments of the effects of headlight glare on their own visual acuity. PERCEPTION. 2014; 43(11) : 1203-1213. DOI:10.1068/p7814.
 
20.
Skrúcaný T, Šarkan B, Gnap J. Influence of aerodynamic trailer devices on drag reduction measured in a wind tunnel. Eksploatacja i niezawodnosc-Maintenance and reliability. 2016; 18(1): 151-154. ISSN 1507-2711.
 
21.
Vokhidov H, Hong H.G, Kang J.K, Hoang T.M, Park K.R. Recognition of Damaged Arrow-Road Markings by Visible Light Camera Sensor Based on Convolutional Neural Network. SENSORS. 2016; 16(12), Article Number: 2160. DOI: 10.3390/s16122160.
 
22.
Wang J.M, Wu S.T, Su W.Y, Lin Y.L. Study and implementation of the LED headlight driver with auto-start function in specific location. IET INTELLIGENT TRANSPORT SYSTEMS. 2016; 10: 623-634. DOI:10.1049/iet-its.2016.0072.
 
23.
Xu X.C, Xie S, Wong S.C, Xu P.P, Huang H, Pei X. Severity of pedestrian injuries due to traffic crashes at signalized intersections in Hong Kong: a Bayesian spatial logit model. JOURNAL OF ADVANCED TRANSPORTATION. 2016; 50(8): 2015-2028. DOI: 10.1002/atr.1442.
 
24.
Xu Y.F, Wang W.X, Lu Y.P. A New Design Method of Automatic Adjustment System for High-low Beams of Intelligent Vehicle. ADVANCES OF TRANSPORTATION: INFRASTRUCTURE AND MATERIALS. 2016; 1: 651-658. ISBN 978-1-60595-367-0.
 
25.
Zamecnik J, Jagelcak J, Sokjer-Peterssen S. Comparison of acceleration acting on cargo in front and in rear part of semi-trailer during braking with and without using the systems ABS/EBS. Communications: scientific letters of the University of Žilina. 2016; 18(2): 76-82. ISSN 1335-4205.
 
26.
Zhang F, Han Z.K, Ge H.Y, Zhu Y.P. Optimization Design of Traffic Flow under Security Based on Cellular Automata Model. COMPUTER SCIENCE AND INFORMATION SYSTEMS. 2015; 12(2): 427-443. DOI: 10.2298/CSIS141228008Z.
 
27.
Zhang W, Wu Q.M.J, Wang G.H, You X.G. Tracking and Pairing Vehicle Headlight in Night Scenes. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2012; 13(1): 140-153. DOI: 10.1109/TITS.2011.2165338.
 
28.
Zhang Y.H, Mamun S.A, Ivan J.N, Ravishanker N, Haque K. Safety effects of exclusive and concurrent signal phasing for pedestrian crossing. ACCIDENT ANALYSIS AND PREVENTION. 2015; 83: 26-36. DOI: 10.1016/j.aap.2015.06.010.
 
29.
Zhang Z.J, Chen H, Xiao Z.G, Chen L.L, Klette R. Nighttime Vehicle Detection for Heavy Trucks. INTERNET OF VEHICLES - SAFE AND INTELLIGENT MOBILITY, IOV. Book Series: Lecture Notes in Computer Science. 2015; 9502: 164-175. DOI: 10.1007/978-3-319-27293-1_15.
 
30.
Zou Q, Ling H.B, Luo S.W, Huang Y.P, Tian M. Robust Nighttime Vehicle Detection by Tracking and Grouping Headlights. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2015; 16(5) 2838-2849. DOI:10.1109/TITS.2015.2425229.
 
 
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eISSN:2084-476X
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